BHARTIA STOCK BROKING PRIVATE LIMITED · KL, India
Skills: React, TypeScript, HTML/CSS, Python, SQL, AWS, Docker, CI/CD
Backend & Data Infrastructure Engineer At Fingent, we believe that technology can make a meaningful difference to the lives around us. The lives of those who use it, the lives of those who build it and to society at large. We create and provide software which is beautiful, usable and compelling, to solve complex business challenges. We nurture smart people who bring out the best in themselves, their peers, and their clients. About the Role We are looking for a Hybrid Backend & Data Infrastructure Engineer to architect and scale the backend services and high-throughput data platforms that power our core products and analytical insights. In this role, you will bridge the gap between software engineering, distributed systems, and data infrastructure. You will design high-performance microservices and APIs, orchestrate complex streaming and batch pipelines, automate cloud-native infrastructure, and solve hard distributed-systems challenges—such as multi-replica race conditions, state synchronization, and sub-second data processing. Key Roles & Responsibilities 1. Backend & Microservices Engineering ○ Architect, build, and deploy low-latency, scalable APIs and microservices using modern Python (FastAPI, FastMCP, uv). ○ Integrate foundational AI/LLM models and external services (e.g., AWS Bedrock). ○ Define resilient service interfaces, API schemas, and data contracts between internal engineering teams. 2. Distributed Systems & Concurrency Management ○ Design robust state-management patterns to handle high-concurrency race conditions across worker pools, message queues, and database rows. ○ Implement distributed synchronization mechanisms (e.g., distributed locks/mutexes, idempotency keys, and optimistic/pessimistic locking strategies). ○ Ensure reliable execution, deduplication, and zero-data-loss guarantees across asynchronous task workers. 3. Data Infrastructure & Orchestration ○ Develop and maintain scalable job orchestration workflows for streaming and batch processi…
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