# Senior Staff Software Engineer - Backend at DeepIntent

> India · Staff · Backend · open. Source: https://alderhq.app/jobs/greenhouse%3Adeepintent%3A5688687004 (read 2026-11-10).

## Facts (observed)

- Company: [DeepIntent](https://alderhq.app/companies/deepintent)
- Location text: Pune, India; DeepIntent - India
- Where it can be done from (inferred): India (evidence: "Location lists "pune"")
- Posted: 2025-10-27 (379 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/deepintent/jobs/5688687004
- Skills listed (inferred): Java, PostgreSQL, MySQL, Redis, Kafka, AWS, GCP, Kubernetes, Docker, LLMs, Distributed systems

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (India, n 8): p25 ₹20.3L, median ₹55L, p75 ₹82.3L

## Description (the employer's text)

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 www.deepintent.com.

What You'll Do:

- Provide technical leadership across multiple teams and backend systems, owning the architecture of high-throughput, low-latency services built primarily on Java and Spring Boot.
- Drive architecture decisions for distributed systems, including service boundaries, data modelling, storage choices, and scalability, so the platform stays future-proof as volume and complexity grow.
- Tackle the most complex architectural challenges in your area, and partner with Tech Leads and Engineering Managers to shape the technical vision and roadmap.
- Lead critical cross-team technical initiatives end to end, from design through rollout, aligning engineering work with product and business goals.
- Act as the technical lead for your product line, breaking down complex problems into well-defined work, providing clear technical guidance, and unblocking engineers.
- Mentor senior and junior engineers through design reviews, code reviews, and pair programming, raising the technical bar and fostering a culture of ownership and continuous learning.
- Design and build systems that make effective use of Redis across a range of patterns, such as caching, real-time counters, rate limiting, distributed locking, pub/sub, and streams, alongside other datastores.
- Build and evolve event-driven and asynchronous systems using messaging and streaming platforms such as Kafka.
- Lead the integration of AI into our products and engineering workflows, including LLM-powered features, agentic workflows, retrieval-augmented generation (RAG), and tool integrations via the Model Context Protocol (MCP).
- Champion AI-assisted software development across the team, setting standards for how engineers use coding agents and AI tools responsibly to improve speed and quality.
- Establish and enforce engineering best practices around API design, code quality, testing, security, and data privacy, with healthcare compliance expectations in mind.
- Design observability strategies (metrics, logging, tracing, alerting) using tools such as Grafana and Prometheus to proactively identify bottlenecks and ensure production stability.
- Lead deep-dive investigations into complex production issues and drive root-cause fixes and blameless postmortems.
- Drive knowledge sharing across engineering through technical 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.
- Deep expertise in Java (17+) and the Spring ecosystem (Spring Boot, Spring Cloud, Spring Data), including a solid understanding of JVM internals, concurrency, and performance tuning.
- Strong working knowledge of Redis, including its data structures, persistence and clustering models, and how to apply it to problems beyond caching, with a clear understanding of its trade-offs at scale.
- Solid experience with relational and NoSQL databases (e.g., MySQL, PostgreSQL, Aerospike, Cassandra or similar), including query optimisation and schema design.
- Experience with messaging and streaming systems such as Kafka, and with designing resilient, idempotent, event-driven architectures.
- Strong grounding in microservices, REST/gRPC API design, and distributed systems fundamentals (consistency, partitioning, fault tolerance).
- Experience with cloud platforms (GCP or AWS), containerisation (Docker, Kubernetes), and owning CI/CD pipelines.
- Working knowledge of current AI trends and their practical engineering application: LLM APIs, prompt and context engineering, agentic systems, RAG and vector databases, MCP, and evaluation of AI system quality and reliability.

---
Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Adeepintent%3A5688687004 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.