Staff Software Engineer
Inovalon
| Company | Inovalon |
| Category | Engineering |
| Location | Gurugram |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 30 Jan 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building.
Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Overview: The Staff Engineer L6 will lead development for various Inovalon products and platforms, innovating to overcome current technology and bring in solutions which solve resiliency, scale, security in a completely different level. This position brings subject matter expertise as a functional lead and is tasked with ensuring a high level of discipline and productivity.
Duties and Responsibilities:
Design, build and maintain scalable data pipelines and access patterns related to Healthcare;
Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing in AWS;
Document and estimate technical scope and design as needed;
Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem;
Involve and drive a culture of collaborative reviews of designs, code and test plans;
Work with business stake holders and architecture engineering leads to ensure quality solutions are implemented and engineering standard methodologies adhered to;
DevOps Focus – Utilize and advance continuous integration and deployment frameworks;
Solve complex data issues and perform root cause analysis;
Work across teams to resolve operational & performance issues;
Provide strong technical leadership, raise the technical bar, maintain data and results-driven culture, nurture a team culture of high collaboration and trust;
Communicate effectively and partner well with other disciplines of the project team to deliver high quality solutions from ideas to production code;
Facilitate alignment and clarity across teams on goals, outcomes, and timelines;
Influence and coach junior engineers both within and outside of your team; be a role model for an open, honest, and inclusive approach to problem solving;
Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’s Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the scope of work; and
Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.
On Call Policy : Participate in an on-call rotation to support critical issues, including outside standard business hours (evenings, weekends, and holidays), ensuring timely response and resolution as per defined SLAs.
Job Requirements:
Experience: 12+ years in software engineering with deep experience in full-stack or platform development for high-scale, distributed systems (virtualization, multi-tenant, high-performance computing) with health care systems.
Architecture & Systems: Strong background in system design, security fundamentals, reliability engineering, and automation.
Programming & Frameworks: Expertise with .NET 8/C# , Node.js , Angular 18+ and scripting languages ( Python, TypeScript )
Cloud & DevOps: Production experience on AWS ; Azure DevOps for CI/CD; infrastructure as code and modern observability practices.
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