Software Development Engineer - III (Backend + AI)
Innovaccer Inc.Match Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessKnown healthtech firm, common backend+AI title, 5+ requirement, and metro location increase competition.
Core backend and cloud skills are transferable, but healthcare regulatory and FHIR/GDPR requirements raise domain specificity.
Explicit 5+ years plus mandatory backend, AI integration, cloud, Kubernetes, and compliance skills enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and ship complex backend services, APIs, data pipelines, and AI/ML-powered product features personally, ensuring high-quality production code.
Lead technical design decisions for scalability, performance, security, and cost within the team or domain, including architecture shaping and compliance with healthcare regulations (HIPAA, GDPR).
Provide hands-on mentorship to engineers, own reliability and incident response for production systems, and collaborate with product and clinical stakeholders to deliver technically sound solutions.
Minimum Requirements
Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or equivalent practical experience.
5+ years of software engineering experience with a track record of building and shipping production systems.
Proficient in coding with modern languages like Python, Java, or Go, and strong software design skills for distributed systems, backend services, APIs, and data-intensive architectures.
Experience integrating AI/ML into products, operating production systems (CI/CD, infrastructure-as-code, monitoring, incident response), and familiarity with healthcare data standards (FHIR, HL7) and regulatory compliance or ability to ramp quickly.
Ideal Candidate Profile
Senior technical leader who prefers hands-on coding and ownership of complex backend and AI/ML systems in regulated healthcare environments.
Experienced in end-to-end design, development, and operationalizing AI/ML-powered features and backend systems within cloud platforms (AWS, GCP, Azure) using containerization (Docker, Kubernetes).
Able to lead by example through mentorship, enforcing engineering best practices, and collaborating cross-functionally with product and clinical teams to deliver scalable, secure software.