Staff Software Engineer - Backend
DeepIntent1 day ago
Pune, IndiaStaff+
Responsibilities
- Provide technical leadership across multiple teams and own the architecture of high-throughput, low-latency backend services.
- Drive distributed-systems architecture decisions involving service boundaries, data modeling, storage, scalability, and performance.
- Lead cross-team technical initiatives from design through rollout and align engineering work with product and business goals.
- Act as technical lead for a product line by decomposing complex problems, guiding engineers, and removing blockers.
- Mentor senior and junior engineers through design reviews, code reviews, and pair programming.
- Design and build Redis-based systems for caching, counters, rate limiting, distributed locking, pub/sub, and streams.
- Build event-driven and asynchronous systems using messaging and streaming platforms such as Kafka.
- Lead the integration of LLM-powered features, agentic workflows, RAG, and MCP-based tool integrations.
- Establish standards for responsible use of coding agents and AI development tools.
- Set engineering practices for API design, code quality, testing, security, privacy, observability, and healthcare compliance.
- Design observability strategies using metrics, logging, tracing, alerting, Grafana, and Prometheus.
- Investigate complex production issues, drive root-cause fixes, and lead blameless postmortems.
- Promote technical documentation, design forums, internal talks, and knowledge sharing.
Requirements
- 8+ years of backend engineering experience designing and delivering large-scale distributed systems in production.
- Deep expertise in Java 17+ and the Spring ecosystem, including Spring Boot, Spring Cloud, and Spring Data.
- Strong understanding of JVM internals, concurrency, and performance tuning.
- Strong experience with Redis data structures, persistence, clustering, trade-offs, and non-caching use cases.
- Experience with relational and NoSQL databases such as MySQL, PostgreSQL, Aerospike, or Cassandra, including query optimization and schema design.
- Experience with Kafka, resilient event-driven architectures, and idempotent systems.
- Strong grounding in microservices, REST/gRPC API design, consistency, partitioning, and fault tolerance.
- Experience with GCP or AWS, Docker, Kubernetes, and owning CI/CD pipelines.
- Working knowledge of LLM APIs, prompt and context engineering, agentic systems, RAG, vector databases, MCP, and AI-system evaluation.
- Hands-on experience with AI coding tools such as Claude Code, GitHub Copilot, or Cursor.
- Ability to lead technical work across multiple teams, influence architecture without direct authority, and mentor senior engineers.
- Clear communication skills for explaining technical trade-offs to technical and non-technical stakeholders.
- Experience in ad tech or healthcare data platforms is preferred.
- Production LLM feature experience, including guardrails, cost and latency optimization, and AI-workload observability, is preferred.
- Familiarity with Spark or Flink is preferred.
- Open-source contributions, technical writing, or speaking experience is preferred.
Benefits
- US employees receive medical, dental, and vision insurance, a 401(k) match, 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, and a health and wellness allowance.
- Europe employees receive medical insurance, flexible PTO, hybrid-friendly flexible work options, professional development reimbursement, WiFi reimbursement, parental leave, and additional benefits.
- Compensation includes a competitive base salary and performance-based bonus; US postings also mention performance-based commission.
Tech Stack
Apache CassandraApache FlinkApache KafkaApache SparkAWSDockerGoogle Cloud PlatformGrafanagRPCJavaKubernetesMySQLPostgreSQLPrometheusRedisSpring Boot
Categories
About DeepIntent
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.