• Design and develop scalable backend services and APIs. • Drive architecture decisions and ensure high engineering standards. • Write production-ready code and actively use AI tools to accelerate development. • Solve complex technical challenges and improve system reliability. • Lead code reviews and maintain code quality across the team. • Mentor engineers and help increase team productivity. • Collaborate closely with Product, Design, and QA teams. • Continuously improve development processes and engineering practices.

• Technical Reference and Architecture: Design and evolve the architecture of distributed systems focused on high availability, low latency, and resilience. • Hands-on: Code, perform thorough code reviews, and take an active role in troubleshooting and debugging complex issues. • Incident Response: Lead the resolution of critical incidents, ensuring rapid response and creating action plans to prevent recurrence. • Technology Transition: Work effectively with our Elixir-based legacy systems while leading and supporting the development of new projects in Golang. (We expect someone open-minded and eager to learn new technologies.) • Observability Culture: Promote mature monitoring, messaging, and deep observability practices across our infrastructure. • Strategic Vision: Translate business risk-management challenges into robust technical solutions.

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions across the full stack, including both backend services and user-facing UI components. • Develop and maintain backend services and APIs in Java and JavaScript; build and maintain front-end features using Angular or other modern web application frameworks. • Work with SQL and Snowflake for data querying, transformation, and analysis; contribute to data ingestion and transformation pipelines supporting the Real World Data platform. • Leverage AI-driven development tools and practices to accelerate delivery, improve code quality, and solve complex engineering problems; stay current with emerging technologies and front-end development trends. • Support code reviews, testing, and release processes; contribute to a culture of engineering excellence and continuous improvement. • Set direction and goals for the team regarding project impact, product quality, and engineering efficiency; lead major initiatives, rollouts, and phased releases. • Provide mentorship to onboarding team members and enable successful ramp-up. • Participate in an on-call rotation to support critical issues outside standard business hours, ensuring timely response and resolution per defined SLAs. • Maintain compliance with Inovalon's policies, procedures and mission statement. • Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon'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 undertaking of the position.

• Designs, builds, and deploys production automations that integrate with internal APIs and third-party operational systems (browser-based UI automations where APIs are not available) • Builds and maintains step-level logging, alerting, and observability so automation failures, skips, and anomalies surface in real time rather than via downstream impact • Maintains, debugs, and enhances existing automations as operational requirements change and triages production incidents and resolve them within the internal fix path • Partners with operations stakeholders to translate process requirements into technical specifications, validates automation outputs during parallel-run periods, and defines acceptance criteria • Establishes and documents engineering standards for automation development, logging conventions, error handling patterns, configuration management, deployment processes • Evaluates, selects, and integrates tooling (including UI automation frameworks, observability platforms, and orchestration systems) that support the long-term automation roadmap • Documents automation logic, operational runbooks, and architectural decisions so that knowledge transfers cleanly across the engineering team