- 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.
- Hands-on experience using AI coding tools (such as Claude Code, GitHub Copilot, or Cursor) in day-to-day development, with a clear view of where they help and where human judgment is essential.
- Proven ability to lead technical work across multiple teams, influence architectural decisions without direct authority, and mentor senior engineers.
- Clear communicator who can explain complex technical trade-offs to both technical and non-technical stakeholders.
- Experience in ad tech (programmatic advertising, RTB, DSP/SSP systems) or healthcare data platforms is a plus.
- Experience building production LLM features, including guardrails, cost and latency optimisation, and observability for AI workloads, is a plus.
- Familiarity with big data processing frameworks such as Spark or Flink is a plus.
- Contributions to open-source projects, or experience with technical writing or speaking, are a plus.
We believe great work starts with great support. That’s why DeepIntent offers a competitive, holistic benefits package designed to empower you both professionally and personally.
Here’s what you can expect when you join our team based in the US: Competitive base salary plus performance based bonus or commission, comprehensive medical, dental, and vision insurance, 401K match program, flexible PTO policy and paid holidays, remote friendly culture with flexible work options, career development and advanced education support, WFH and internet stipends, plus many more perks and benefits!
Here’s what you can expect when you join our team based in India: Competitive base salary plus performance based bonus, comprehensive medical insurance, and paid holidays. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement and health and wellness allowance plus many more perks and benefits!
Here's what you can expect when you join our team based in Europe: Competitive base salary plus performance-based bonus, comprehensive medical insurance, and flexible PTO. Hybrid-friendly culture with flexible work options, professional development reimbursement, WiFi reimbursement, and parental leave plus many more perks and benefits!
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