01-Software Development Engineer - III

●      Design, build, and ship complex, critical components of Innovaccer's platform — backend services, APIs, and data pipelines — writing high-quality production code yourself.

●      Build AI/ML-powered product features end to end: integrating models, designing the systems and data flows around them, and ensuring they perform reliably in production.

●      Drive technical design for systems within your team or domain, making hands-on decisions for scalability, performance, security, and cost, then implementing them.

●      Model engineering best practices across the SDLC — code quality, testing, security, observability, and operational excellence — and raise the bar through the code you write and review.

●      Build resilient, well-tested services that integrate cleanly across products and with external healthcare systems.

●      Ensure the software you build complies with healthcare and data-protection requirements, including HIPAA and GDPR, embedding compliance and security into the implementation.

●      Debug, profile, and harden production systems, taking ownership of reliability and incident response for the systems you build.

●      Provide hands-on technical mentorship to engineers through design reviews, pairing, and code review.

●      Partner with product and clinical stakeholders to turn real-world needs into well-scoped, technically sound designs you can deliver.

●      Evaluate and recommend technologies, frameworks, and tooling for your team, balancing capability, cost, risk, and time-to-value.

●      Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.

●      5+ years of software engineering experience with a strong track record of personally building and shipping production systems.

●      Deep, current, hands-on coding expertise in one or more modern languages (e.g., Python, Java, Go, or similar) — this role writes code daily.

●      Strong software design skills across distributed systems, backend services, APIs, and data-intensive architectures.

●      Experience building and integrating AI/ML into products — connecting models to real systems, handling data flows, and operationalizing them in production (you don't need to be a research scientist, but you should be comfortable building AI/ML-powered features).

●      Hands-on experience operating production systems: CI/CD, infrastructure-as-code, monitoring, performance tuning, and incident response.

●      Familiarity with healthcare data standards (e.g., FHIR, HL7) and regulatory compliance (HIPAA, GDPR), or the ability to ramp quickly on a regulated domain.

●      Strong problem-solving skills and clear communication, with the ability to align engineers and stakeholders around a technical approach.

●      Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization/orchestration (Docker, Kubernetes).