Senior Staff Software Engineer
Technical lead for a backend product line of DeepIntent's healthcare data & analytics platform: owns architecture of high-throughput Java/Spring Boot services, multi-tenant privacy-first data flows, Kafka/Redis data systems, and LLM-powered AI features, while mentoring engineers and driving cross-team initiatives. Based in Pune, India.
- Compensation
- Not disclosed
- Location
- Pune, India
- Work setup
- Not specified
- Seniority
- Staff
- Employment
- Not specified
- Experience
- 8+ years
- Category
- Software engineering
- Posted
Skills
Must have
- 8+ years of backend engineering experience with large-scale distributed systems in production
- Deep expertise in Java 17+ and Spring ecosystem (Spring Boot, Spring Data), JVM internals, concurrency, performance tuning
- Relational and NoSQL/analytical databases (MySQL, PostgreSQL, Cassandra, ClickHouse), schema design and query optimisation
- Working knowledge of Redis beyond caching, with trade-offs at scale
- Experience with big-data/analytical query engines (e.g. Spark) and data lake storage, or willingness to go deep
- Microservices, API design (REST and GraphQL), distributed systems fundamentals (consistency, idempotency, partitioning, fault tolerance)
- Strong security fundamentals: authn/authz, tenant isolation, injection prevention, safe handling of sensitive data
- Experience with messaging, streaming and workflow orchestration (Kafka or Airflow), event-driven architectures
- Experience with cloud platforms (GCP or AWS), Docker, Kubernetes, and owning CI/CD pipelines
- Practical AI engineering: LLM APIs, prompt/context engineering, agentic systems, RAG, MCP, evaluating AI quality
- Daily pair programming with AI coding tools (Claude Code, GitHub Copilot, Cursor) with ownership of review/debugging
- Has shipped features using AI pair programming, not just experimented
- Security and data-privacy guardrails while using AI
- Proven ability to lead technical work across teams, influence without authority, mentor senior engineers
- Clear communicator of trade-offs to technical and non-technical stakeholders
Nice to have
- Experience with healthcare data platforms, data clean rooms or ad tech (programmatic, DSP/SSP)
- Production LLM features: guardrails, cost and latency optimisation, AI observability
- Familiarity with Spark or Flink at scale
- Open-source contributions, technical writing or speaking
Full description
DeepIntent is the leading healthcare marketing platform, purpose-built to help marketers plan, activate, and optimize data-driven campaigns with speed and precision. Trusted by the world’s top healthcare brands and their agencies, DeepIntent uniquely unites media, identity, and real-world clinical data to power privacy-safe, omnichannel marketing across every screen. Backed by patented technology and proven outcomes, DeepIntent’s platform delivers measurable audience quality and script lift at scale. Learn more at .
What You'll Do:
You'll be the technical lead for a backend product line in our data and analytics platform. The platform lets healthcare marketers and analysts work with privacy-protected real-world data, run queries at scale, build audiences and use AI-assisted workflows. You will own the architecture of high-throughput, secure backend services built on Java and Spring Boot, and help shape the technical roadmap.
- Provide technical leadership for your product line. Own the architecture of backend services, including service boundaries, data modelling, storage choices and scalability.
- Design multi-tenant, privacy-first data flows across services and environments, with healthcare compliance in mind.
- Lead cross-team initiatives end to end, from design through rollout, working closely with Product, Infrastructure and partner teams.
- Build and evolve data-intensive and asynchronous systems using distributed query and processing engines, workflow orchestration and messaging platforms such as Kafka. Use datastores like Redis (caching, counters, rate limiting, locking, pub/sub) where they fit, alongside relational and analytical stores.
- Lead the integration of AI into our products and engineering workflows. This includes LLM-powered features, agentic workflows, retrieval over metadata or documents, and tool integrations via the Model Context Protocol (MCP). Design for grounded output, human approval, cost control and measurable quality.
- Establish engineering best practices for API design, code quality, testing, security and data privacy.
- Design observability (metrics, logging, tracing, alerting) with tools such as Grafana and Prometheus. Lead deep-dive investigations into production issues and run blameless postmortems.
- Mentor senior and junior engineers through design reviews, code reviews and pair programming.
- Champion responsible AI-assisted development and set standards for how engineers use coding agents and AI tools.
- Drive knowledge sharing through documentation, design forums and internal talks.
Who You Are:
- 8+ years of backend engineering experience, with a track record of designing and delivering large-scale distributed systems in production.