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Job Description

Description :



Role Summary :



Were seeking a seasoned ML and Backend Developer with 5- 8 years of experience to design, build, and scale robust server-side systems.



You will own backend services end-to-endfrom architecture and APIs to data models, performance tuning, observability, and securitywhile collaborating closely with product, frontend, QA, DevOps, and data teams.



Required Skills :



- 5-8 years of professional experience building and operating backend systems at scale.



- 2-3 years of professional experience as an ML engineer embedding ML models in large scale applications at production scale.



- Strong understanding of distributed systems fundamentals (consistency, partitioning, concurrency, idempotency).



- Solid grasp of API design principles, versioning, pagination, error handling, and backward compatibility.



- Hands-on experience with :



1. Relational and non-relational databases, indexing, query optimization, and transactions.



2. Message queues/streams, job schedulers, and asynchronous processing.



3. Caching strategies (in-memory, edge, application-level) and performance tuning.



- Familiarity with containerization, orchestration, infrastructure-as-code, and cloud deployment concepts.



- Experience implementing secure coding practices and access controls.



- Proficiency with automated testing, CI/CD pipelines, and observability tools.



- Strong problem-solving skills, ownership mindset, and ability to mentor junior engineers.



- Exposure to LLMs, agentic AI frameworks, concepts around chunking, RAG preferred.



Preferred Experience :



- Microservice patterns where applicable.



- Feature flags, canary releases, and blue/green deployments.



- Domain-driven design and modular monolith to microservices transition experience.



- Data pipelines for analytics/ML integration and batch/stream processing.



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