DevOps Engineer | SDE - 1 | SDE - 2
Role: Senior Backend Engineer (Java / Spring Boot)
Function: Backend Engineering / Software Engineering
Location: Mumbai / Bangalore
Type: Full-time
Compensation: Competitive compensation with the backing of a high-scale ecosystem
Industry: Artificial Intelligence, Consumer Technology, Software
About Company
The company is building the AI layer for Bharat at India-scale. Backed by partnerships with global tech leaders like Meta and Google, it creates AI that serves the entire Indian user base.
The platform is engineered from day one for 100M+ users and 1B-ready constraints on latency, cost, reliability, and safety. The culture emphasises engineering excellence, strong collaboration, and tangible impact.
Small pods, high autonomy, and fast iteration define how the team works.
Position Overview
We are looking for a Backend Engineer with deep Java and Spring Boot expertise to build and own mission-critical microservices that power our consumer AI platform. You will design scalable, high-availability systems handling massive traffic at India scale. This role spans L5 (senior IC owning complex service systems) and L6 (architect-level, defining platform scalability strategy).
Role & Responsibilities
- Design, build, and deploy production-grade microservices using Java and Spring Boot with high availability and data consistency guarantees
- Develop reliable REST and async APIs supporting complex, high-traffic consumer AI workflows
- Optimize system performance through latency reduction, throughput improvements, and efficient asynchronous processing pipelines
- Identify and resolve scaling bottlenecks in production distributed environments serving 100M+ users
- Own end-to-end production services — from architecture and implementation to monitoring, alerting, and incident resolution
Must Have Criteria
- 5+ years of backend engineering experience with Java as the primary language
- 3+ years of hands-on experience building production microservices with Spring Boot
- Proven experience designing and operating distributed systems handling high-traffic workloads (specify scale in resume)
- Demonstrated track record of optimizing API latency and throughput in production environments
- Experience with asynchronous processing systems (e.g., Kafka or similar message queues)
- Hands-on ownership of production services including on-call, incident response, and root cause analysis
- Independently owns complex service systems, driving technical design and delivery end-to-end
- Architects backend platforms, defines scalability strategies, and leads cross-team initiatives for platform evolution
Nice to Have
- Experience building backend systems for consumer-facing apps at 10M+ user scale
- Exposure to AI/ML platform backends — model serving, inference APIs, or orchestration layers
- Prior experience at a high-growth startup or scaleup with fast iteration cycles
- Familiarity with observability tooling (e.g., Prometheus, Grafana, distributed tracing)
What We Offer
- Opportunity to build the core intelligence infrastructure for India's largest consumer AI platform
- Small, high-autonomy pods with direct ownership and fast iteration loops
- Work alongside engineers solving 1B-scale constraints in latency, cost, and reliability
- Competitive compensation with the backing of a high-scale ecosystem
FAQs
Are there any additional costs for payroll processing in multiple countries?
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