--- title: 'SDET at CertifyOS' canonical: 'https://feeny.ai/job/sdet-certifyos-bengaluru-zb54k4thw5sx' type: 'job' last_seen: '2026-11-08' --- # SDET at CertifyOS - **Company:** CertifyOS - **Location:** Bengaluru, India - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-11-05 - **Last confirmed live:** 2026-11-08 - **Apply:** https://jobs.ashbyhq.com/certifyos/3ac954c0-376b-41ad-953b-e3df7e835114 ## Job description ## About CertifyOS CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale. Our vision is simple: One API. One provider ID. Frictionless provider data. We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients. ## About the Role We are looking for an AI-first Software Development Engineer in Test (SDET) to help us build reliable, scalable, and high-quality software. This role goes beyond traditional QA and test automation. You will leverage AI-assisted engineering and agentic workflows to accelerate test development, improve test coverage, automate quality checks, and identify performance and scalability issues. You will work closely with developers, product managers, and engineering leaders to embed quality throughout the software development lifecycle. We expect you to think like a software engineer, automate like an SDET, and use AI as a force multiplier. ## Key Responsibilities 1. AI-First Quality Engineering - Adopt AI-assisted and agentic approaches across the testing lifecycle. - Use AI coding agents to generate, execute, debug, and maintain automated tests. - Build AI-assisted workflows for test case generation from product specifications and acceptance criteria. - Explore agentic testing approaches that can independently execute workflows, identify failures, and report defects. - Use AI to analyse test failures, identify patterns, and suggest potential root causes. - Continuously identify opportunities to reduce manual effort through AI and automation. 1. Test Automation - Build and maintain scalable automation frameworks for UI, API, integration, and end-to-end testing. - Develop reusable test components and automation libraries. - Automate critical business workflows and regression suites. - Integrate automated testing into CI/CD pipelines. - Use Playwright, Cypress, Selenium, or equivalent frameworks. 1. Performance & Load Testing - Design and execute load, stress, spike, and endurance tests. - Simulate real-world traffic, concurrent users, and high-volume API requests. - Establish performance benchmarks and service-level objectives. - Identify bottlenecks across APIs, databases, microservices, and infrastructure. - Use tools such as k6, JMeter, Locust, or Gatling. - Analyse latency, throughput, resource utilisation, and error rates. - Work with developers to identify and resolve performance bottlenecks. 1. Scalability & Reliability Engineering - Validate application behaviour as traffic, data volume, and workloads increase. - Identify scalability limitations across distributed systems. - Test asynchronous workflows, queues, event processing, retries, and failure recovery. - Evaluate database performance and query efficiency under load. - Identify resource constraints and potential points of failure. - Contribute to capacity planning and reliability improvements. 1. Engineering Collaboration - Work with developers and product managers to identify quality risks early. - Participate in technical design and code reviews. - Define quality gates and automation standards. - Build a culture where quality is everyone’s responsibility. Required Skills & Experience - 3–6 years of experience in software testing and automation engineering. - Strong programming skills in Python, Java, or JavaScript/TypeScript. - Hands-on experience with Playwright, Cypress, or Selenium. - Strong API automation and backend testing experience. - Experience with performance testing tools such as k6, JMeter, or Locust. - Understanding of microservices and distributed systems. - Good knowledge of SQL and database testing. - Experience integrating automated tests into CI/CD pipelines. - Practical experience using AI coding assistants and AI agents. - Ability to analyse logs, metrics, and performance bottlenecks. AI & Emerging Engineering Practices We expect candidates to: - Be comfortable working with AI coding agents such as Claude Code, Cursor, or GitHub Copilot. - Use AI to generate test scenarios, automation scripts, and test data. - Understand how to validate AI-generated code and prevent unreliable tests. - Explore agentic workflows for autonomous test execution and failure analysis. - Build reusable AI-powered testing workflows rather than relying only on manual prompting. Good to Have - Experience with AWS or GCP. - Familiarity with Docker and Kubernetes. - Experience with Kafka or other messaging systems. - Exposure to Grafana, Prometheus, Datadog, or similar observability tools. - Knowledge of chaos engineering and resilience testing. - Experience with database performance tuning. What Success Looks Like - AI-assisted automation across critical product workflows. - Reduced manual testing and regression effort. - Faster feedback through automated quality gates. - Reliable performance benchmarks for critical APIs and workflows. - Early detection of performance and scalability bottlenecks. - Improved release confidence as product traffic and data volumes grow. - Continuous improvement in engineering productivity through AI adoption. ## Benefits of Working at Certify - At Certify, we’re building with intention and taking care of the people doing the work. - Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women. We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences. If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com. We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected. ## About CertifyOS ## Company Overview - **One-liner**: CertifyOS provides a unified, API-first provider data platform that ingests, verifies, cleanses, and distributes healthcare provider information to reduce administrative costs and improve network accuracy. - **Entity Type**: Private (Series B, raised $59M total) - **Headquarters**: New York, New York, United States - **Founded**: 2021 - **Founders**: Anshul Rathi ## Core Business - **Primary industry**: Healthcare IT / Provider Data Infrastructure - **Target customers**: B2B – primarily US health plans (8 of the top 10 publicly listed health plans are clients), digital health companies, and healthcare organizations needing provider network management. - **Mission**: To change how the healthcare industry deals with provider data by creating a centralized, frictionless data infrastructure that reduces the cost of healthcare and removes administrative and regulatory burdens. ## Products & Services - **CertifyOS Provider Hub**: The core platform – a unified data engine that ingests data from rosters, 600+ primary sources, EMRs, and claims; AI-powered cleaning (deduplication, taxonomy mapping, address standardization); verification against thousands of sources; and delivery via one API, webhooks, or bulk exports. Supports credentialing, license management, roster reconciliation, and ongoing monitoring. - **Verify**: Intelligence layer that validates provider records against thousands of primary sources in real time. - **Cleanse**: Automated data cleansing with AI to resolve duplicates and standardize data. - **Map**: Models every entity type (solo practitioners to delegated groups) for accurate network modeling. - **Deliver**: Distributes a continuously updated golden record into directories, claims, analytics, and downstream workflows. All products are accessible via a single API and configurable to client workflows. ## Market Standing - **Valuation / Market Cap**: Not publicly disclosed - **Key Metric**: Annual Revenue ~$25M (2025 estimate); Total Funding ~$59M - **Notable Investors / Partners**: Transformation Capital (led Series B, $40M), General Catalyst (led Series A, $14.5M), Upfront Ventures (led Seed, $4.5M). Clients include 8 of the top 10 publicly listed US health plans. - **Growth Signals**: 227 employees (+24.8% YoY), operates in 9 countries, 136+ employees as of mid-2026 (LinkedIn shows 227, company careers page says 136+ – likely reflects recent growth). Achieved 75% reduction in re-credentialing costs, 50% fewer roster mismatches, and 10x faster provider onboarding for clients. Active job postings up 140% year-over-year. ## Competitive Advantages - **API-first, UI-agnostic platform**: Allows seamless integration into existing health plan systems without replacing them. - **Direct integrations with 600+ primary sources**: Uniquely positioned to validate provider data against authoritative sources in real time. - **End-to-end coverage**: Handles the entire provider data lifecycle – licensing, enrollment, credentialing, and network monitoring – in one platform. - **Proven results with major health plans**: Eight of the top ten publicly listed US health plans are clients, indicating strong trust and scale. - **Deep domain expertise**: Leadership team has 75+ years combined experience building provider data systems at large health plans and Oscar Health. ## Strategic Focus - **Becoming the "source of truth" for provider data**: CertifyOS aims to replace fragmented point solutions with a single, continuously updated provider data backbone. - **Powering AI automation and compliance**: The platform is designed to feed clean, verified data into AI-driven analytics, directories, and regulatory compliance workflows (e.g., CMS No Surprises Act). - **Expanding platform adoption**: Growing client base among both traditional health plans and digital health innovators, with an emphasis on reducing administrative waste and improving patient access. ## Why Work Here - **Remote-first culture**: Fully remote global team with employees in North America, India, Mexico, the Philippines, Canada, Europe, and Australia. Work-from-anywhere policy. - **Employee satisfaction**: 88% of employees report positive growth and development opportunities; 98% endorse leadership (2026 Employee Engagement Survey). Employer rating 3.8/5 on LinkedIn (44 reviews). - **Benefits**: Competitive health, vision, dental, and life insurance; flexible PTO; generous parental leave; company-sponsored 401k; equipment provided for your home office. - **Growth and impact**: Join a fast-growing company (140% YoY increase in job postings) tackling a critical, broken piece of healthcare infrastructure. Opportunities for mentorship and career development. - **Team**: 100+ employees (growing), with a collaborative, inclusive environment. Values include accountability, collaboration, being yourself, feedback, and results. ## Sources 1. [certifyos.com](https://www.certifyos.com/) – Company homepage, results and platform overview 2. [certifyos.com/company](https://www.certifyos.com/company) – About page, leadership, history, funding 3. [certifyos.com/careers](https://www.certifyos.com/company/careers) – Careers page, remote policy, benefits, employee stats 4. [certifyos.com/platform](https://www.certifyos.com/platform) – Platform details, features, client results 5. [linkedin.com/company/certifyos](https://www.linkedin.com/company/certifyos) – Employee count, growth, revenue, funding, departments, reviews 6. 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