Staff Software Engineer L6

Inovalon; Hyderabad; Remote; INR 11,299,000 - 16,949,000; Full time

Job summary

Inovalon is seeking a Staff Software Developer L6 to drive the technical design and execution of core data platforms and full-stack applications. You will bridge data engineering with frontend/backend development, ensuring highly observable, resilient systems.

You will lead technical decisions, mentor engineers, and responsibly integrate AI-driven tools into daily workflows. You will design scalable data pipelines, own system design across AWS and Snowflake, and promote secure, compliant

Qualifications

• 10+ years of professional software engineering experience.
• Experience leading technical designs and engineering choices for a team.
• Strong experience with cloud data warehouse architectures and SQL tuning.
• Experience with distributed data processing frameworks or managed data integration tools.
• Hands-on with container orchestration, serverless computing modules, state machines, and cloud storage solutions.

Responsibilities

• Design and build reliable, scalable data pipelines and architectures across AWS and Snowflake.
• Develop Java backends, Python services, and UI components.
• Translate vague requirements into concrete, well-documented designs for the team.
• Optimize data pipelines using Spark, EMR, and Glue for healthcare data.
• Promote AI development tools to speed up prototyping, testing, and debugging.
• Mentor senior and mid-level engineers through design reviews and pair programming.
• Build end-to-end observability with metrics, logs, and distributed tracing.
• Improve CI/CD pipelines and infrastructure-as-code.

Skills

System Design

Distributed Data

Full-stack Dev

Java

Python

UI Frameworks

Observability

AI Tools

Mentorship

Autonomy

Tools

Snowflake

AWS

Spark

EMR

Glue

Datadog

OpenTelemetry

Prometheus

ELK

GitHub Copilot

Job description

The Staff Software Developer L6 will drive the technical design and execution of our core data platforms and full-stack applications. In this role, you will bridge data engineering (Snowflake, AWS) with full-stack development (Java, Python, UI) while ensuring our applications are highly observable and resilient. As an L6 engineer, you will look beyond individual features to design systems that handle complex data scenarios, lead team technical choices, and safely integrate AI-driven development tools into our daily coding workflows.

Responsibilities

Technical Design & Execution

• System Design: Design and build reliable, scalable distributed data pipelines and full-stack application architectures across AWS and Snowflake.

• Full-Stack Development: Write clean, high-performance code across the entire stack—from Java and Python backends to user-facing UI components.

• Solve Ambiguous Technical Challenges: Take vague or complex product requirements and turn them into concrete, well-documented technical designs that the team can execute.

• Modernize Data Pipelines: Optimize big data processing systems using Spark, EMR, and Glue to process healthcare data efficiently.

AI-Driven Development & Team Mentorship

• Practical AI Adoption: Actively use and promote modern AI development tools (like GitHub Copilot, Claude Code etc) to speed up prototyping, testing, and debugging.

• Code Quality & Validation: Establish guidelines so that the team uses AI tools responsibly, ensuring all AI-generated code is thoroughly reviewed, tested, and secure.

• Technical Mentorship: Mentor senior and mid-level engineers through design reviews and pair programming, helping them level up their engineering practices.

Observability & Operations

• Build for Reliability: Implement end-to-end observability frameworks (metrics, logs, and distributed tracing) to ensure deep system visibility and quick incident resolution.

• Automation: Improve CI/CD pipelines and infrastructure-as-code to make deployments seamless and automated.

• Security & Healthcare Standards: Ensure all designs and implementations strictly adhere to healthcare data security requirements and HIPAA compliance.

Qualifications

Core Engineering Experience

• Proven Track Record: 10+ years of professional software engineering experience, with experience leading technical designs and engineering choices for a team.

• Data Ecosystems: Strong experience with modern cloud data warehouse architectures, advanced SQL performance tuning, and distributed data processing frameworks or managed data integration tools.

• Cloud Infrastructure: Hands-on experience building scaleable systems utilizing container orchestration frameworks, serverless computing modules, state machine orchestrators, and cloud object storage solutions.

Polyglot Full-Stack Capabilities

• Backend Mastery: Strong programming expertise in Java and Python for building APIs, microservices, and data scripts.

• UI Exposure: Practical experience with modern UI frameworks (e.g., React or Angular) to effectively connect front-end interfaces with heavy data engines.

• Observability Foundations: Practical experience setting up monitoring and tracing platforms (e.g., Datadog, OpenTelemetry, Prometheus, or ELK) to manage production health.

AI & Leadership Qualities

• AI Innovations: Hands‑on experience architecting retrieval‑augmented generation (RAG) pipelines, managing vector embeddings, and integrating large language models.

• AI Tooling Comfort: Hands‑on experience using generative AI tools inside your daily development workflows, with a mature view on where they help and where they introduce risks.

• Autonomy: Comfort working independently, setting evaluation criteria for project results, and taking ownership of technical outcomes.

• Compliance & Domain: Familiarity with building software in regulated environments (such as healthcare, HIPAA, or finance) is highly preferred.

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)

If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.

By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.

Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement.

To review the legal requirements, including all labor law posters, please visit this link

To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link

Work Location: If the US position is listed as remote, employees who reside within a 40-mile radius of one of our office locations in Tampa, FL; Canonsburg, PA; or Bowie, MD will follow a hybrid work schedule and are expected to work in the office two days per week (Tuesdays and Wednesdays).