Backend Engineer at Weekday AI

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Backend Engineer at Weekday AI. This role is for one of the Weekday's clients. Salary range: Rs 1000000 - Rs 1800000 (ie INR 10-18 LPA). Min Experience: 2 years. JobType: full-time. Join a fast-growing fintech startup that’s revolutionizing secured lending infrastructure for leading financial institutions. This platform is designed to scale—handling millions of requests, deeply integrated with lenders and banking systems, and optimized for speed, security, and stability. Backend engineering is the heart of this mission, solving real-world problems in credit infrastructure.. What You’ll Do:. . Build and maintain . FastAPI-based microservices. for core lending workflows . . Own and optimize . PostgreSQL databases. for scale and performance . . Develop and integrate secure, high-throughput . REST APIs. . . Deploy and monitor services on . AWS. (App Runner, Lambda, RDS, etc.) . . Collaborate with product, design, and frontend teams to deliver new features . . Drive backend code quality through . testing. , . code reviews. , and . clean architecture. . . Ensure data integrity, system security, and performance under load . . Contribute to backend roadmap, CI/CD automation, and internal tooling . . What We’re Looking For:. . 2+ years of backend development experience in a . production-grade environment. . . Deep expertise in . Python. (FastAPI preferred) . . Hands-on experience with . AWS services. (Lambda, App Runner, RDS, S3, etc.) . . Strong knowledge of . PostgreSQL. , schema design, and query optimization . . Experience building and consuming . REST APIs. and integrating with 3rd-party APIs . . Proficiency with . Git. , . Docker. , and cloud-first engineering workflows . . Strong fundamentals in . system design. , . performance tuning. , and . security. . . Familiarity with . async patterns. , caching, and distributed systems . . Startup mentality: bias for action, ownership, and a collaborative attitude . . Nice to Have:. . Experience with . event-driven architectures. (Kafka, SNS/SQS) . . Familiarity with . CI/CD. (GitHub Actions, CodePipeline) . . Prior experience in . fintech. or regulated environments . . Exposure to observability tools (Datadog, CloudWatch, Prometheus). . Company Location: India.