DeepIntent

Staff Software Engineer

DeepIntent
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1 day ago
Pune, IndiaStaff+

Responsibilities

  • Lead the technical direction and architecture of a backend product line, including service boundaries, data modeling, storage choices, scalability, and roadmap development.
  • Design multi-tenant, privacy-first data flows across services and environments while accounting for healthcare compliance.
  • Build and evolve data-intensive asynchronous systems using distributed query and processing engines, workflow orchestration, messaging, and datastores such as Redis.
  • Lead cross-team technical initiatives from design through rollout in partnership with Product, Infrastructure, and external partner teams.
  • Integrate LLM-powered features, agentic workflows, retrieval, MCP tool integrations, grounded outputs, human approval, cost controls, and measurable quality practices.
  • Establish standards for API design, code quality, testing, security, data privacy, observability, and responsible AI-assisted development.
  • Design metrics, logging, tracing, and alerting; investigate production issues and lead blameless postmortems.
  • Mentor senior and junior engineers through design reviews, code reviews, pair programming, documentation, forums, and internal talks.

Requirements

  • 8+ years of backend engineering experience delivering large-scale distributed systems in production.
  • Deep expertise in Java 17+ and the Spring ecosystem, including Spring Boot, Spring Data, JVM internals, concurrency, and performance tuning.
  • Experience with relational, NoSQL, or analytical databases such as MySQL, PostgreSQL, Cassandra, or ClickHouse, including schema design and query optimization.
  • Working knowledge of Redis beyond caching and its trade-offs at scale.
  • Experience with big-data or analytical query engines such as Spark and data lake storage, or strong willingness to develop that expertise.
  • Strong knowledge of microservices, REST and GraphQL API design, distributed systems fundamentals, consistency, idempotency, partitioning, and fault tolerance.
  • Strong security fundamentals covering authentication, authorization, tenant isolation, injection prevention, and sensitive-data handling.
  • Experience with messaging, streaming, workflow-orchestrated systems such as Kafka or Airflow, and resilient event-driven architectures.
  • Experience with GCP or AWS, Docker, Kubernetes, and owning CI/CD pipelines.
  • Practical AI engineering experience with LLM APIs, prompt and context engineering, agentic systems, RAG, MCP, and AI quality and reliability evaluation.
  • Daily hands-on use of AI coding tools such as Claude Code, GitHub Copilot, or Cursor, with appropriate human review judgment.
  • Demonstrated ability to lead technical work across teams, influence without direct authority, mentor senior engineers, and communicate trade-offs to technical and non-technical stakeholders.
  • Healthcare data platforms, data clean rooms, programmatic advertising, DSP/SSP, production LLM features, guardrails, AI cost and latency optimization, AI workload observability, Spark or Flink at scale, open-source contributions, technical writing, or speaking are preferred.

Benefits

  • US employees receive medical, dental, and vision insurance, a 401K match program, flexible PTO, paid holidays, remote-friendly flexible work options, career development and advanced education support, WFH and internet stipends, and additional benefits.
  • India employees receive medical insurance, paid holidays, hybrid-friendly flexible work options, professional development reimbursement, WiFi reimbursement, health and wellness allowance, and additional benefits.
  • Europe employees receive medical insurance, flexible PTO, hybrid-friendly flexible work options, professional development reimbursement, WiFi reimbursement, parental leave, and additional benefits.

Tech Stack

Apache AirflowApache CassandraApache FlinkApache KafkaApache SparkAWSClickHouseDockerGoogle Cloud PlatformGrafanaGraphQLJavaKubernetesMySQLPostgreSQLPrometheusRedisSpring Boot
DeepIntent

About DeepIntent

201-500 employees

DeepIntent builds a healthcare-focused demand-side platform that lets pharmaceutical brands and healthcare agencies plan, activate, and optimize programmatic advertising using privacy-safe clinical and identity data. The company generates revenue from platform and media-buying fees across display, video, CTV, and mobile channels. Founded in 2016 and headquartered in New York, DeepIntent is backed by private equity firm Vitruvian Partners.

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