4540-Staff Software Engineer
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Key skills for this role
Role Overview
Innovaccer is seeking a Staff Software Engineer who remains deeply hands-on while setting technical direction for a team or domain.
The role involves building scalable platform software, backend services, data pipelines, and AI/ML-powered healthcare product features.
The engineer will work with product, clinical, and engineering peers to deliver robust software for healthcare use cases.
Key Skills for This Role
Full Job Posting
About the role
Innovaccer is seeking a Staff Software Engineer who remains deeply hands-on while setting technical direction for a team or domain.
The role involves building scalable platform software, backend services, data pipelines, and AI/ML-powered healthcare product features.
The engineer will work with product, clinical, and engineering peers to deliver robust software for healthcare use cases.
Responsibilities
- Design, build, and ship complex platform components, backend services, APIs, and data pipelines.
- Build AI/ML-powered features end to end, including model integration, data flows, and production operation.
- Drive technical decisions for scalability, performance, security, and cost.
- Apply best practices for code quality, testing, security, observability, and operational excellence.
- Build resilient services that integrate across products and with external healthcare systems.
- Embed healthcare and data-protection compliance, including HIPAA and GDPR, into implementations.
- Debug, profile, and harden production systems and own reliability and incident response.
- Mentor engineers through design reviews, pairing, and code reviews.
- Partner with product and clinical stakeholders on technically sound designs.
- Evaluate technologies, frameworks, and tooling based on capability, cost, risk, and time to value.
Required qualifications
- Bachelor's, Master's, or Ph.D. in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
- At least 7 years of software engineering experience building and shipping production systems.
- Hands-on coding expertise in one or more modern languages, such as Python, Java, or Go.
- Strong design skills across distributed systems, backend services, APIs, and data-intensive architectures.
- Experience integrating AI/ML into products and operationalizing AI/ML-powered features in production.
- Hands-on experience with CI/CD, infrastructure as code, monitoring, performance tuning, and incident response.
- Strong problem-solving and communication skills.
Additional qualifications
- Familiarity with healthcare data standards such as FHIR or HL7 is desirable, with ability to ramp quickly on regulated domains accepted.
- Experience with AWS, GCP, or Azure and Docker and Kubernetes is required.
Workplace
- The posting identifies the workplace as on-site.
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