Job Title: Software Engineer Salary: 4-6.5 Lakhs per Annum Location: Onsite (Okhla Phase 1, Delhi) Work from Home: No Will be required to travel to various locations for user interaction and deployment. Application Form - Apply in LinkedIn and fill the following google form: https://docs.google.com/forms/d/e/1FAIpQLSdeOjf3Hjy_QOOZQHa_tSnEc01Zwel9rlwT5FweI1zVzCtR7A/viewform?usp=pp_url Joining: Immediate Evaluation and Screening will be carried out in multiple phases: online test, interview and HR round. Role Overview As a Backend Engineer on our offline, real-time training simulation platform, you will be the driving force behind our core services. You’ll architect, develop, and maintain high-performance system. Beyond pure backend coding, you will collaborate across teams to integrate your services into the larger system, propose and refine architectural designs, and drive end-to-end solutions from back end to frontend and DevOps. Drive backend development for our offline, real‑time training simulation platform. You’ll build high‑performance services that ingest serial data, process event streams, and stream map‑based updates to clients. Requirements Algorithmic Thinking: Solve ~1400 Codeforces‑level problems; write clean, efficient Python/C++/Java code. Streaming & Messaging: Develop Kafka producers/consumers; maintain low‑latency WebSocket servers. Quality & Ops: Write unit/integration tests; set up logging, monitoring, CI/CD; ensure system reliability. Collaboration: Document APIs; participate in design/code reviews; work closely with UI and DevOps teams. System Administration: Familiarity with Linux/Unix environments, shell scripting, and performance tuning. Key Responsibilities Backend Development & Architecture Design and implement scalable microservices in Python Define clear service interfaces (REST/WebSocket/gRPC) and data schemas Ensure offline-first operation—no external dependencies or cloud calls Integration & Design Collaboration Work closely with frontend, mapping, and DevOps teams to integrate your APIs and streaming endpoints Participate in regular architecture/design reviews; propose improvements to data flow, fault tolerance, and performance Contribute to system-level design documents, API specifications, and integration test plans Streaming & Messaging Build and maintain Kafka producers/consumers; design topics and partitioning for throughput and low latency Implement Faust stream-processing pipelines for real-time transformations and filtering Optimize WebSocket servers for efficient map-update broadcasts to multiple clients Quality, Testing & Reliability Write thorough unit and integration tests Set up CI/CD pipelines (GitHub Actions, Jenkins) for automated builds, tests, and deployments to Docker/Kubernetes System Administration & Performance Tuning Manage Linux/Unix servers: write shell scripts, schedule cron jobs, and tune kernel/network settings for high-throughput I/O Profile and optimize CPU, memory, and network usage in your services Troubleshoot production incidents and perform root-cause analysis
