Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.
Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
We're seeking an experienced and highly capable engineering leader who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform through hands-on development and technical leadership. As an early team member, you'll work closely with our founding team while helping to build and lead a growing engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.
Architect workflows that utilize AI/ML to process claims, medical records and other data types to evaluate the optimal care path for health plan members
Lead the integration and rollout of the Onos platform for new enterprise customers to provide actionable insights and recommendations to health plan administrators
Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes
Establish engineering best practices and technical foundations for future team growth
Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy
Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines
Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations
Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers
Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements
At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.
Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform
Languages/Frameworks
Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs
Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse
Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk
5+ years experience building software applications
Prior experience leading engineering teams as a tech lead or engineering manager
Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems
Customer obsessed and motivated to make an impact in the healthcare space
A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code
Worked with machine learning and large language models for end-user applications
Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files
Hybrid arrangement: 3 days/week at San Francisco office (Financial District)
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
","descriptionPlain":"ABOUT ONOS HEALTH\n\nOnos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.\n\nOnos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.\n\nOnos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.\n\n\n\n\nWHY ONOS?\n\n - Meaningful impact: Help fix what is fundamentally broken in healthcare\n\n - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise\n\n - Culture: Join a high-performing, transparent, and results-oriented team\n\n - Ownership: Significant responsibility and autonomy from day one\n\n - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company\n\n\n\n\nTHE ROLE\n\nWe're seeking an experienced and highly capable engineering leader who is motivated to meaningfully improve the way healthcare is administered in the United States. You'll take ownership of developing a significant part of the Onos platform through hands-on development and technical leadership. As an early team member, you'll work closely with our founding team while helping to build and lead a growing engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.\n\n\n\n\nWHAT YOU'LL BE DOING AT ONOS:\n\n - Architect workflows that utilize AI/ML to process claims, medical records and other data types to evaluate the optimal care path for health plan members\n\n - Lead the integration and rollout of the Onos platform for new enterprise customers to provide actionable insights and recommendations to health plan administrators\n\n - Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes\n\n - Establish engineering best practices and technical foundations for future team growth\n\n - Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy\n\n\n\n\nTECHNICAL CHALLENGES AT ONOS:\n\n - Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines\n\n - Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations\n\n - Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers\n\n - Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements\n\n\n\n\nTECH STACK:\n\nAt Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.\n\n - Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform\n\n - Languages/Frameworks\n \n - Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants\n \n - Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs\n\n - Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse\n\n - Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk\n\n\n\n\nWHAT WE'RE LOOKING FOR:\n\n - 5+ years experience building software applications\n\n - Prior experience leading engineering teams as a tech lead or engineering manager\n\n - Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems\n\n - Customer obsessed and motivated to make an impact in the healthcare space\n\n - A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - Worked with machine learning and large language models for end-user applications\n\n - Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files\n\n\n\n\nBENEFITS AND PERKS\n\n - Hybrid arrangement: 3 days/week at San Francisco office (Financial District)\n\n - Unlimited vacation policy\n\n - Paid parental leave\n\n - Medical, dental, and vision insurance\n\n - Pre-tax commuter benefits\n\n - 401(k)\n\n - Significant equity as an early employee\n\n - Direct mentorship from experienced founders\n\n - Ground-floor opportunity to help build a team and culture\n\n - Regular team events and offsites\n\n - Company-provided equipment and home office setup\n\n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."},{"id":"05fe0f8e-90a4-4d9e-a4d3-90b9cc755352","title":"Lead Engineer (Data/Integrations)","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-03-26T18:14:42.994+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/onoshealth/05fe0f8e-90a4-4d9e-a4d3-90b9cc755352","applyUrl":"https://jobs.ashbyhq.com/onoshealth/05fe0f8e-90a4-4d9e-a4d3-90b9cc755352/application","descriptionHtml":"Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.
Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
We're seeking an experienced data engineering leader who is motivated to meaningfully improve the way healthcare is administered in the country. You'll own the architecture and implementation of our integrations with claims and utilization management systems at the nation's largest health plans. As an early team member, you'll build the data infrastructure that powers the entire Onos platform and establish the best practices for a growing data engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times per week.
Lead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters
Build an integration framework that makes onboarding each new payer faster and more reliable over time
Work across healthcare data formats and exchange methods
Build monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration
Build and scale data pipelines for our AI/ML systems and analytics dashboards for behavioral and mental health quality and cost
Establish engineering best practices and technical foundations for future team growth
Build a payer integration framework that makes each new national and regional health plan onboarding faster and more reliable than the last
Develop fault-tolerant data pipelines that process millions of claims records while maintaining strict data quality, security, and compliance requirements
Design normalization layers that translate varied payer data formats into a unified data model for AI/ML and analytics
Architect robust monitoring and alerting systems that detect data quality issues, feed disruptions, and schema drift before they impact downstream systems
Establish best practices for using AI tooling across the engineering workflow to ship faster without sacrificing quality
At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.
Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform
Languages/Frameworks
Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs
Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse
Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk
5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility)
Prior experience leading engineering teams as a tech lead or engineering manager
Experience integrating (or willing to learn) health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files
Strong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems
Customer obsessed and motivated to make an impact in the healthcare space
A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code
Direct experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar
Experience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement)
Built data infrastructure that powers AI/ML systems — feature pipelines, training data preparation, model monitoring
Flexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
","descriptionPlain":"ABOUT ONOS HEALTH\n\nOnos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.\n\nOnos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.\n\nOnos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.\n\n\n\n\nWHY ONOS?\n\n - Meaningful impact: Help fix what is fundamentally broken in healthcare\n\n - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise\n\n - Culture: Join a high-performing, transparent, and results-oriented team\n\n - Ownership: Significant responsibility and autonomy from day one\n\n - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company\n\n\n\n\nTHE ROLE\n\nWe're seeking an experienced data engineering leader who is motivated to meaningfully improve the way healthcare is administered in the country. You'll own the architecture and implementation of our integrations with claims and utilization management systems at the nation's largest health plans. As an early team member, you'll build the data infrastructure that powers the entire Onos platform and establish the best practices for a growing data engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times per week.\n\n\n\n\nWHAT YOU’LL BE DOING AT ONOS:\n\n - Lead the architecture and implementation of data integrations with major healthcare payers, including claims feeds, utilization management authorization data, eligibility files, and provider rosters\n\n - Build an integration framework that makes onboarding each new payer faster and more reliable over time\n\n - Work across healthcare data formats and exchange methods\n\n - Build monitoring, reconciliation, and data quality systems, including defining requirements, test scenarios, and acceptance criteria for each integration\n\n - Build and scale data pipelines for our AI/ML systems and analytics dashboards for behavioral and mental health quality and cost\n\n - Establish engineering best practices and technical foundations for future team growth\n\n\n\n\nTECHNICAL CHALLENGES AT ONOS:\n\n - Build a payer integration framework that makes each new national and regional health plan onboarding faster and more reliable than the last\n\n - Develop fault-tolerant data pipelines that process millions of claims records while maintaining strict data quality, security, and compliance requirements\n\n - Design normalization layers that translate varied payer data formats into a unified data model for AI/ML and analytics\n\n - Architect robust monitoring and alerting systems that detect data quality issues, feed disruptions, and schema drift before they impact downstream systems\n\n - Establish best practices for using AI tooling across the engineering workflow to ship faster without sacrificing quality\n\n\n\n\nTECH STACK:\n\nAt Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.\n\n - Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform\n\n - Languages/Frameworks\n \n - Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants\n \n - Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs\n\n - Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse\n\n - Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk\n\n\n\n\nWHAT WE’RE LOOKING FOR:\n\n - 5+ years experience in data engineering, with significant time spent working with healthcare payer data (claims, UM, eligibility)\n\n - Prior experience leading engineering teams as a tech lead or engineering manager\n\n - Experience integrating (or willing to learn) health plan systems and navigating payer data formats including EDI X12, HL7, FHIR, and custom flat files\n\n - Strong system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex data systems\n\n - Customer obsessed and motivated to make an impact in the healthcare space\n\n - A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code\n\n\n\n\nBONUS POINTS IF YOU HAVE (NOT REQUIRED):\n\n - Direct experience integrating with claims platforms or UM systems such as QNXT, Facets, Amisys, Jiva, CareRadius, or similar\n\n - Experience with behavioral health or mental health claims data (e.g., behavioral health carve-outs, BH-specific CPT codes, quality measurement)\n\n - Built data infrastructure that powers AI/ML systems — feature pipelines, training data preparation, model monitoring\n\n\n\n\nBENEFITS AND PERKS\n\n - Flexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture\n\n - Unlimited vacation policy\n\n - Paid parental leave\n\n - Medical, dental, and vision insurance\n\n - Pre-tax commuter benefits\n\n - 401(k)\n\n - Significant equity as an early employee\n\n - Direct mentorship from experienced founders\n\n - Ground-floor opportunity to help build a team and culture\n\n - Regular team events and offsites\n\n - Company-provided equipment and home office setup\n\n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."},{"id":"599ccaab-ca5b-42de-9069-bcae3d892a55","title":"Clinical Quality Reviewer - BCBA ","department":"Clinical","team":"Clinical","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-06-04T21:45:20.666+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/onoshealth/599ccaab-ca5b-42de-9069-bcae3d892a55","applyUrl":"https://jobs.ashbyhq.com/onoshealth/599ccaab-ca5b-42de-9069-bcae3d892a55/application","descriptionHtml":"About Onos Health
Onos Health's mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, nearly 30% of U.S. healthcare spending is wasted due to ineffective care and administrative burden, driven by misalignment between providers and payers. This waste is a primary reason healthcare remains unaffordable for so many.
Onos is addressing this by building the largest AI-driven healthcare data platform for clinical decision-making. Onos’ models help health plans make faster, more accurate decisions across their populations. The result is less friction between plans, providers, and members, better outcomes, and more affordable care.
Why Onos?
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
The role:
At Onos, we partner with payers to help improve outcomes, ensure high quality of care for every member and reduce provider friction. We are seeking a Board Certified Behavior Analyst (BCBA) with deep clinical expertise to support in solving these needs and refining our models and product. This role offers the opportunity to help shape innovative technology solutions designed to improve quality specifically in autism/ABA services.
In this role, you’ll report directly to our Senior Vice President of Clinical Operations and work alongside the clinical and product teams to validate system outputs, support enhancements, and make modifications to our platform.
The ideal candidate is detail-oriented with strong applied clinical knowledge and an interest in improving outcomes in autism/ABA services, enabling data-driven decision making, developing operational efficiencies, and AI-enabled healthcare solutions.
What you'll own:
Review ABA treatment plans and supporting clinical documentation for medical necessity and clinical appropriateness and compare platform-generated outputs, analyses, and recommendations against independent clinical review findings.
Identify discrepancies, edge cases, or workflow gaps and provide structured feedback to support ongoing platform refinement
Collaborate cross-functionally with clinical, product, engineering, and account management teams to help improve the product to ensure stellar customer experience
Participate in calibration and inter-rater reliability activities to ensure consistency
Assist in development and refinement of quality assurance and improvement methodologies, audit tools, and outcome metrics
Perform other data validation tasks as needed
Maintain accurate and timely documentation of findings and recommendations
What we're looking for:
Current BCBA certification in good standing
Minimum 3-5 years of experience in ABA utilization management, clinical supervision, quality assurance/improvement (specific to ABA/autism services) or in an equivalent ABA leadership role
Experience reviewing ABA treatment plans and assessing clinical justification for recommended services
Knowledge of commonly used assessment tools and scoring in ABA
Strong understanding of medical necessity criteria and general payer expectations related to ABA services
Experience auditing clinical documentation and charts for quality and compliance
Strong written communication and analytical skills
Exceptional attention to detail and organizational skills
Ability to work independently in a fast-paced environment
Nice to have's:
Experience in utilization management, care review, or prior authorization review for a payer or managed care organization
Experience with quality metrics/outcomes data
Familiarity with multiple ABA payer guidelines, authorization processes, and documentation standards
Experience using EHRs and clinical review platforms
Experience analyzing claims, utilization, or outcomes data
Location:
Based in the San Francisco Bay Area and willing to work in a hybrid work environment 2-3x per week
Compensation
$110,000-$140,000 base salary + equity
Benefits and Perks
Flexible hybrid arrangement: 2-3 days/week at San Francisco office (Financial District), remote-first culture
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our model enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable.
Come join a category-defining company and transform how healthcare is managed in the U.S.
Meaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste.
Ownership: Take on significant responsibility from day one and shape a rapidly growing company.
Direct collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.
High-performing team: Join a transparent, collaborative, and execution-focused culture.
Build something new: Help define the next generation of AI-powered healthcare analytics.
We’re looking for a Lead Data Scientist to own the analytical strategy behind the Onos platform and help our customers unlock the full value of their data.
This role sits at the intersection of data science, product, and customer success. You’ll partner directly with health plans to understand their data, systems, workflows, and business challenges while working internally with Product, Engineering, and Clinical teams to shape the analytics, dashboards, and product capabilities that power the Onos platform.
Success in this role isn’t measured by how many machine learning models you build—it’s measured by your ability to turn complex healthcare data into products, insights, and measurable outcomes that customers trust.
You’ll serve as one of Onos’ analytical leaders, helping customers answer difficult questions, developing rigorous methodologies to measure ROI and clinical impact, identifying new product opportunities, and ensuring our platform continues to evolve around real customer needs.
Partner with Customers
Work directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives.
Help customers understand and validate the insights generated by the Onos platform.
Design and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact.
Present methodologies, findings, and recommendations to both technical and executive audiences.
Serve as a trusted analytical partner during implementations, pilots, and ongoing customer engagements.
Shape Product & Data Strategy
Partner with Product and Engineering to determine how new data sources—including claims, clinical documentation, authorizations, and operational data—should be integrated into the platform.
Help define the dashboards, reporting, metrics, and analytics that customers use every day.
Translate customer questions and analytical needs into scalable product capabilities.
Identify opportunities to leverage customer data to create new products, insights, and decision-support tools.
Drive Analytics & Insight Generation
Explore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies.
Design rigorous analytical methodologies for measuring clinical appropriateness, quality, program integrity, and financial impact.
Build statistical models and analytical frameworks that support product development and customer decision-making.
Apply machine learning where it meaningfully improves customer outcomes and platform capabilities.
Collaborate Across the Company
Work closely with Product, Engineering, Clinical Operations, and Customer Success to solve complex customer problems.
Help prioritize analytical initiatives and influence product direction.
Serve as the company’s subject matter expert on healthcare data, analytics, and measurement.
8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field.
Deep experience working with healthcare claims, clinical, authorization, eligibility, or operational healthcare data.
Strong SQL and Python skills for exploratory analysis, statistical modeling, and data validation.
Strong foundation in statistics, experimental design, causal inference, predictive modeling, and analytical methodology.
Experience designing analyses that measure clinical, operational, or financial outcomes.
Ability to translate complex analytical concepts into clear, actionable business insights.
Excellent communication and presentation skills, with the ability to engage both technical teams and executive stakeholders.
Experience working directly with customers or external stakeholders is strongly preferred.
Product-minded, with an interest in turning analytical insights into scalable software capabilities.
Comfortable working in ambiguity and excited to help build processes, products, and best practices from the ground up.
Healthcare payer, provider, or health technology experience strongly preferred.
Exceptional references from colleagues and former managers.
At Onos, data science isn’t an isolated research function. You’ll help customers answer their hardest analytical questions, influence the direction of our product, define how healthcare data is transformed into actionable intelligence, and play a central role in building one of the most ambitious AI platforms in healthcare.
If you enjoy solving messy problems, working directly with customers, and seeing your work shape both products and real-world healthcare decisions, we’d love to talk.
Flexible hybrid arrangement (~3 days/week in our San Francisco office)
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build both the product and company
Regular team events and off-sites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at Onos. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic.
","descriptionPlain":"ABOUT ONOS HEALTH\n\nOnos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.\n\n\n\nOnos is addressing this by building the largest AI-driven healthcare data platform. Our model enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives outcomes while making healthcare more affordable.\n\n\n\nCome join a category-defining company and transform how healthcare is managed in the U.S.\n\n\n\n\nWHY ONOS?\n\n - Meaningful impact: Help solve one of healthcare’s biggest challenges by improving quality while reducing waste.\n\n - Ownership: Take on significant responsibility from day one and shape a rapidly growing company.\n\n - Direct collaboration: Work alongside experienced founders with deep expertise in healthcare, AI, and product development.\n\n - High-performing team: Join a transparent, collaborative, and execution-focused culture.\n\n - Build something new: Help define the next generation of AI-powered healthcare analytics.\n\n\n\n\nTHE ROLE\n\nWe’re looking for a Lead Data Scientist to own the analytical strategy behind the Onos platform and help our customers unlock the full value of their data. \n\n\n\nThis role sits at the intersection of data science, product, and customer success. You’ll partner directly with health plans to understand their data, systems, workflows, and business challenges while working internally with Product, Engineering, and Clinical teams to shape the analytics, dashboards, and product capabilities that power the Onos platform.\n\n\n\nSuccess in this role isn’t measured by how many machine learning models you build—it’s measured by your ability to turn complex healthcare data into products, insights, and measurable outcomes that customers trust.\n\n\n\nYou’ll serve as one of Onos’ analytical leaders, helping customers answer difficult questions, developing rigorous methodologies to measure ROI and clinical impact, identifying new product opportunities, and ensuring our platform continues to evolve around real customer needs.\n\n\n\n\nWHAT YOU’LL BE DOING\n\nPartner with Customers\n\n - Work directly with payer analytics, clinical, operational, and executive teams to understand their data, systems, and business objectives.\n\n - Help customers understand and validate the insights generated by the Onos platform.\n\n - Design and execute analyses that quantify ROI, clinical outcomes, operational improvements, and program impact.\n\n - Present methodologies, findings, and recommendations to both technical and executive audiences.\n\n - Serve as a trusted analytical partner during implementations, pilots, and ongoing customer engagements.\n\nShape Product & Data Strategy\n\n - Partner with Product and Engineering to determine how new data sources—including claims, clinical documentation, authorizations, and operational data—should be integrated into the platform.\n\n - Help define the dashboards, reporting, metrics, and analytics that customers use every day.\n\n - Translate customer questions and analytical needs into scalable product capabilities.\n\n - Identify opportunities to leverage customer data to create new products, insights, and decision-support tools.\n\nDrive Analytics & Insight Generation\n\n - Explore complex healthcare datasets to identify utilization patterns, quality opportunities, provider variation, and operational inefficiencies.\n\n - Design rigorous analytical methodologies for measuring clinical appropriateness, quality, program integrity, and financial impact.\n\n - Build statistical models and analytical frameworks that support product development and customer decision-making.\n\n - Apply machine learning where it meaningfully improves customer outcomes and platform capabilities.\n\nCollaborate Across the Company\n\n - Work closely with Product, Engineering, Clinical Operations, and Customer Success to solve complex customer problems.\n\n - Help prioritize analytical initiatives and influence product direction.\n\n - Serve as the company’s subject matter expert on healthcare data, analytics, and measurement.\n\n\n\n\nWHAT WE’RE LOOKING FOR\n\n - 8+ years of experience in healthcare analytics, data science, biostatistics, or a related quantitative field.\n\n - Deep experience working with healthcare claims, clinical, authorization, eligibility, or operational healthcare data.\n\n - Strong SQL and Python skills for exploratory analysis, statistical modeling, and data validation.\n\n - Strong foundation in statistics, experimental design, causal inference, predictive modeling, and analytical methodology.\n\n - Experience designing analyses that measure clinical, operational, or financial outcomes.\n\n - Ability to translate complex analytical concepts into clear, actionable business insights.\n\n - Excellent communication and presentation skills, with the ability to engage both technical teams and executive stakeholders.\n\n - Experience working directly with customers or external stakeholders is strongly preferred.\n\n - Product-minded, with an interest in turning analytical insights into scalable software capabilities.\n\n - Comfortable working in ambiguity and excited to help build processes, products, and best practices from the ground up.\n\n - Healthcare payer, provider, or health technology experience strongly preferred.\n\n - Exceptional references from colleagues and former managers.\n\n\n\n\nWHY THIS ROLE IS UNIQUE\n\nAt Onos, data science isn’t an isolated research function. You’ll help customers answer their hardest analytical questions, influence the direction of our product, define how healthcare data is transformed into actionable intelligence, and play a central role in building one of the most ambitious AI platforms in healthcare.\n\n\n\nIf you enjoy solving messy problems, working directly with customers, and seeing your work shape both products and real-world healthcare decisions, we’d love to talk.\n\n\n\n\nBENEFITS & PERKS\n\n - Flexible hybrid arrangement (~3 days/week in our San Francisco office)\n\n - Unlimited vacation policy\n\n - Paid parental leave\n\n - Medical, dental, and vision insurance\n\n - Pre-tax commuter benefits\n\n - 401(k)\n\n - Significant equity as an early employee\n\n - Direct mentorship from experienced founders\n\n - Ground-floor opportunity to help build both the product and company\n\n - Regular team events and off-sites\n\n - Company-provided equipment and home office setup\n\n\n\nWe are an equal opportunity employer and value diversity at Onos. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other protected characteristic."},{"id":"58d36bae-5153-471a-9c8c-2094339be001","title":"Forward Deployed Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-07-28T02:54:25.434+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/onoshealth/58d36bae-5153-471a-9c8c-2094339be001","applyUrl":"https://jobs.ashbyhq.com/onoshealth/58d36bae-5153-471a-9c8c-2094339be001/application","descriptionHtml":"Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.
Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
We're seeking an experienced Forward Deployed Engineer, someone who is product minded and customer oriented to join and be our technical lead to interface directly with clients. As an early team member, you'll work closely with our founding team while helping to build and lead a growing engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.
Work directly with health plan customers to understand their claims workflows, data formats, and pain points, then translate that into working software
Be the primary technical point of contact during integrations and rollouts of the Onos platform for new enterprise customers, and provide actionable insights and recommendations to health plan administrators
Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes
Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy
Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines
Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations
Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers
Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements
At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.
Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform
Languages/Frameworks
Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs
Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse
Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk
5+ years experience building software applications
Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems
Customer obsessed and motivated to make an impact in the healthcare space
A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code
Worked with machine learning and large language models for end-user applications
Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files
Flexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
","descriptionPlain":"ABOUT ONOS HEALTH\n\nOnos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.\n\nOnos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.\n\nOnos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.\n\n\n\n\nWHY ONOS?\n\n - Meaningful impact: Help fix what is fundamentally broken in healthcare\n\n - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise\n\n - Culture: Join a high-performing, transparent, and results-oriented team\n\n - Ownership: Significant responsibility and autonomy from day one\n\n - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company\n\n\n\n\nTHE ROLE\n\nWe're seeking an experienced Forward Deployed Engineer, someone who is product minded and customer oriented to join and be our technical lead to interface directly with clients. As an early team member, you'll work closely with our founding team while helping to build and lead a growing engineering team. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.\n\n\n\n\nWHAT YOU'LL BE DOING AT ONOS:\n\n - Work directly with health plan customers to understand their claims workflows, data formats, and pain points, then translate that into working software\n\n - Be the primary technical point of contact during integrations and rollouts of the Onos platform for new enterprise customers, and provide actionable insights and recommendations to health plan administrators\n\n - Own end-to-end development of new features and functionality for the Onos platform, including requirements gathering, scoping, architecting, implementation and testing to deliver timely and high quality outcomes\n\n - Shape our technical roadmap, make key architectural decisions, and influence the company's product and technical strategy\n\n\n\n\nTECHNICAL CHALLENGES AT ONOS:\n\n - Develop an intelligent engine that ingests complex medical standards of care documents and evaluates provider adherence to guidelines\n\n - Design and implement robust and extensible systems to easily support many different kinds of enterprise workflows and integrations\n\n - Build AI/ML pipelines to analyze handwritten clinical notes, accurately extract important medical information, and automate recommendations for clinical reviewers\n\n - Scale our systems to process millions of healthcare records while maintaining strict security and compliance requirements\n\n\n\n\nTECH STACK:\n\nAt Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.\n\n - Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Docker, Github Actions, Terraform\n\n - Languages/Frameworks\n \n - Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants\n \n - Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs\n\n - Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse\n\n - Development Tools: Github, Jira, Claude Code, CoderabbitAI, Tusk\n\n\n\n\nWHAT WE'RE LOOKING FOR:\n\n - 5+ years experience building software applications\n\n - Strong product sense and system design skills with a track record of defining clear requirements, test scenarios, and acceptance criteria for complex systems\n\n - Customer obsessed and motivated to make an impact in the healthcare space\n\n - A hands-on technical leader who can architect robust and extensible systems, establish best practices with AI coding tools, and ship high quality production code\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - Worked with machine learning and large language models for end-user applications\n\n - Hands-on experience navigating healthcare data formats such as EDI X12, HL7, FHIR, and custom payer flat files\n\n\n\n\nBENEFITS AND PERKS\n\n - Flexible hybrid arrangement: 3 days/week at San Francisco office (Financial District), remote-first culture\n\n - Unlimited vacation policy\n\n - Paid parental leave\n\n - Medical, dental, and vision insurance\n\n - Pre-tax commuter benefits\n\n - 401(k)\n\n - Significant equity as an early employee\n\n - Direct mentorship from experienced founders\n\n - Ground-floor opportunity to help build a team and culture\n\n - Regular team events and offsites\n\n - Company-provided equipment and home office setup\n\n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."},{"id":"cdebee3f-b0b8-4816-8d9b-649199bb1dfa","title":"Lead Infrastructure Engineer","department":"Engineering","team":"Engineering","employmentType":"FullTime","location":"San Francisco","secondaryLocations":[],"publishedAt":"2026-08-26T14:31:13.524+00:00","isListed":true,"isRemote":true,"workplaceType":"Hybrid","address":{"postalAddress":{"addressRegion":"California","addressCountry":"United States","addressLocality":"San Francisco"}},"jobUrl":"https://jobs.ashbyhq.com/onoshealth/cdebee3f-b0b8-4816-8d9b-649199bb1dfa","applyUrl":"https://jobs.ashbyhq.com/onoshealth/cdebee3f-b0b8-4816-8d9b-649199bb1dfa/application","descriptionHtml":"Onos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.
Onos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.
Onos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.
Meaningful impact: Help fix what is fundamentally broken in healthcare
Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise
Culture: Join a high-performing, transparent, and results-oriented team
Ownership: Significant responsibility and autonomy from day one
Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company
We're seeking an experienced infrastructure engineer to become our first dedicated platform hire and the owner of the infrastructure the Onos platform runs on. Onos is in production with the nation's largest health plans, which comes with contractual uptime SLAs, disaster recovery commitments, and a security bar (SOC 2, HIPAA) our clients audit. Until now this has been carried collectively by our product engineers and founders — you'll own it end to end. We build heavily with AI coding agents, so much of your leverage will come from specifying work well and directing agents rather than typing every line yourself; prior tech lead or engineering management experience translates directly. As an early team member, you'll set the patterns every future platform engineer at Onos inherits. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.
Own our availability, disaster recovery, and backup commitments to enterprise clients — multi-region failover architecture and the recovery exercises that prove it
Stand up production monitoring, alerting, SLOs, and our on-call rotation and incident response process
Own the technical controls behind SOC 2 and HIPAA: cloud security posture (AWS org guardrails, IAM least-privilege, KMS/encryption), vulnerability remediation, and continuous audit evidence through Vanta, with a path toward HITRUST
Build the CI/CD pipelines, Terraform/IaC foundations, preview environments, and test infrastructure the whole team ships on
Build the guardrails that let AI coding agents ship safely — policy-as-code, deploy verification, and agent-operated operations tooling
Set the strategy and operating rhythm for platform work: priorities, status, and what we deliberately defer
Architect AI SRE agents to ensure up-to-date compliance and reliability, enabling engineers to work more effectively and strategically
Right-size enterprise-grade reliability: SLOs and alerting you can trust without drowning a small team in pager noise
Turn compliance into continuously verified infrastructure — security controls and audit evidence as code
Scale a CI/CD and environments platform where AI agents, not just humans, are the primary users
Support multi-region disaster recovery with defined RTO/RPO targets and immutable, restore-tested backups for a multi-tenant healthcare platform
At Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.
Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Langfuse, Terraform
Languages/Frameworks
Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants
Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs
Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse
Development Tools: Github, Linear, Claude Code, Codex, CoderabbitAI
Deep AWS experience — you've owned production cloud infrastructure end to end (IAM, networking, KMS, containers, managed databases)
Strong Terraform/IaC and CI/CD expertise; you treat pipelines and environments as products with users
Taken a company through at least one SOC 2 (or HITRUST/ISO 27001) audit cycle with your hands on the technical controls
SRE fundamentals — SLOs, incident management, DR design — with the judgment to right-size reliability for a startup with enterprise contracts
Prior experience leading engineering teams as a tech lead or engineering manager — you can break down ambiguous goals, delegate (to humans or AI agents), and communicate crisply with non-technical stakeholders
Customer obsessed and motivated to make an impact in the healthcare space
Significant experience in healthcare or another regulated industry, with HIPAA fluency
Policy-as-code (OPA, Kyverno) or compliance automation (e.g., Vanta, Drata) experience
Been the first infrastructure hire, or helped found or lead a platform team
Built internal tooling or infrastructure for LLM/agent systems
Hybrid arrangement: 3 days/week at San Francisco office (Financial District)
Unlimited vacation policy
Paid parental leave
Medical, dental, and vision insurance
Pre-tax commuter benefits
401(k)
Significant equity as an early employee
Direct mentorship from experienced founders
Ground-floor opportunity to help build a team and culture
Regular team events and offsites
Company-provided equipment and home office setup
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
","descriptionPlain":"ABOUT ONOS HEALTH\n\nOnos Health’s mission is simple but ambitious: ensure every healthcare dollar goes toward delivering the highest quality care. Today, 30% of total U.S. healthcare spending is wasted due to ineffective care and administrative burden caused by misalignment between providers and payers.\n\nOnos is addressing this by building the largest AI-driven healthcare data platform. Our models enables payers to make faster, more accurate decisions across their populations. By guiding members to the right care, Onos is channeling more dollars to high-quality care that drives better outcomes while making healthcare more affordable.\n\nOnos is well-funded by some of the best healthcare investors and is working with the nation’s largest health plans. Come join a category-defining company and help reimagine healthcare for the better.\n\n\n\n\nWHY ONOS?\n\n - Meaningful impact: Help fix what is fundamentally broken in healthcare\n\n - Direct collaboration: Work alongside experienced founders with deep healthcare and data expertise\n\n - Culture: Join a high-performing, transparent, and results-oriented team\n\n - Ownership: Significant responsibility and autonomy from day one\n\n - Opportunity: Play a pivotal role in building a fast-growing, category-defining healthcare AI company\n\n\n\n\nTHE ROLE\n\nWe're seeking an experienced infrastructure engineer to become our first dedicated platform hire and the owner of the infrastructure the Onos platform runs on. Onos is in production with the nation's largest health plans, which comes with contractual uptime SLAs, disaster recovery commitments, and a security bar (SOC 2, HIPAA) our clients audit. Until now this has been carried collectively by our product engineers and founders — you'll own it end to end. We build heavily with AI coding agents, so much of your leverage will come from specifying work well and directing agents rather than typing every line yourself; prior tech lead or engineering management experience translates directly. As an early team member, you'll set the patterns every future platform engineer at Onos inherits. This role is a hybrid role based in San Francisco, where you'll be expected to work at our office in person 3 times a week.\n\n\n\n\nWHAT YOU'LL BE DOING AT ONOS:\n\n - Own our availability, disaster recovery, and backup commitments to enterprise clients — multi-region failover architecture and the recovery exercises that prove it\n\n - Stand up production monitoring, alerting, SLOs, and our on-call rotation and incident response process\n\n - Own the technical controls behind SOC 2 and HIPAA: cloud security posture (AWS org guardrails, IAM least-privilege, KMS/encryption), vulnerability remediation, and continuous audit evidence through Vanta, with a path toward HITRUST\n\n - Build the CI/CD pipelines, Terraform/IaC foundations, preview environments, and test infrastructure the whole team ships on\n\n - Build the guardrails that let AI coding agents ship safely — policy-as-code, deploy verification, and agent-operated operations tooling\n\n - Set the strategy and operating rhythm for platform work: priorities, status, and what we deliberately defer\n\n\n\n\nTECHNICAL CHALLENGES AT ONOS:\n\n - Architect AI SRE agents to ensure up-to-date compliance and reliability, enabling engineers to work more effectively and strategically\n\n - Right-size enterprise-grade reliability: SLOs and alerting you can trust without drowning a small team in pager noise\n\n - Turn compliance into continuously verified infrastructure — security controls and audit evidence as code\n\n - Scale a CI/CD and environments platform where AI agents, not just humans, are the primary users\n\n - Support multi-region disaster recovery with defined RTO/RPO targets and immutable, restore-tested backups for a multi-tenant healthcare platform\n\n\n\n\nTECH STACK:\n\nAt Onos, we work with a modern tech stack where we continuously evaluate and adopt cutting-edge technologies as we scale.\n\n - Infrastructure/Systems: AWS (ECS, Bedrock, Glue, etc.), Langfuse, Terraform\n\n - Languages/Frameworks\n \n - Backend: Python, Django, Celery / Celery Beat, django-ninja, django-tenants\n \n - Frontend: NextJS, Typescript, Tanstack Query, Shadcn UI, Zod, Nuqs\n\n - Database/Storage: PostgreSQL (AWS RDS), S3, Clickhouse\n\n - Development Tools: Github, Linear, Claude Code, Codex, CoderabbitAI\n\n\n\n\nWHAT WE'RE LOOKING FOR:\n\n - Deep AWS experience — you've owned production cloud infrastructure end to end (IAM, networking, KMS, containers, managed databases)\n\n - Strong Terraform/IaC and CI/CD expertise; you treat pipelines and environments as products with users\n\n - Taken a company through at least one SOC 2 (or HITRUST/ISO 27001) audit cycle with your hands on the technical controls\n\n - SRE fundamentals — SLOs, incident management, DR design — with the judgment to right-size reliability for a startup with enterprise contracts\n\n - Prior experience leading engineering teams as a tech lead or engineering manager — you can break down ambiguous goals, delegate (to humans or AI agents), and communicate crisply with non-technical stakeholders\n\n - Customer obsessed and motivated to make an impact in the healthcare space\n\n\n\n\nBONUS POINTS IF YOU HAVE:\n\n - Significant experience in healthcare or another regulated industry, with HIPAA fluency\n\n - Policy-as-code (OPA, Kyverno) or compliance automation (e.g., Vanta, Drata) experience\n\n - Been the first infrastructure hire, or helped found or lead a platform team\n\n - Built internal tooling or infrastructure for LLM/agent systems\n\n\n\n\nBENEFITS AND PERKS\n\n - Hybrid arrangement: 3 days/week at San Francisco office (Financial District)\n\n - Unlimited vacation policy\n\n - Paid parental leave\n\n - Medical, dental, and vision insurance\n\n - Pre-tax commuter benefits\n\n - 401(k)\n\n - Significant equity as an early employee\n\n - Direct mentorship from experienced founders\n\n - Ground-floor opportunity to help build a team and culture\n\n - Regular team events and offsites\n\n - Company-provided equipment and home office setup\n\n\n\nWe are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status."}],"apiVersion":"1"}