About Job Role We are on a mission to build scalable, high-performance systems, and were looking for a Backend Engineer (SDE II) who can design, build, and maintain services that power our core platform. Key Responsibilities Architect and implement scalable backend systems using Python (Django/FastAPI) and TypeScript (Node.js). Lead system design discussions and own the design of backend modules and infrastructure. Design and optimize PostgreSQL schemas and queries for performance and reliability. Build microservices and deploy them using Docker and Kubernetes. Drive DevOps best practices including CI/CD, infrastructure automation, and cloud deployment. Integrate and manage RabbitMQ for asynchronous processing and event-driven workflows. Set up and manage log aggregation, monitoring, and alerting using tools like Prometheus, Grafana, ELK stack. Conduct code reviews, share knowledge, and mentor junior engineers and interns. Proactively monitor and improve the reliability, scalability, and performance of backend systems. Collaborate with cross-functional teams on features, architecture, and tech strategy. Experience & Qualifications 36 years of experience in backend development with strong command of Python and TypeScript. Expertise in building web services and APIs using Django, FastAPI, or Node.js. Strong knowledge of relational databases, particularly PostgreSQL. Solid experience with Kubernetes and Docker for deploying and managing microservices. Experience in DevOps operations, CI/CD pipelines, and infrastructure as code. Proficiency in RabbitMQ or similar message queue technologies. Hands-on experience with monitoring, logging, and alerting stacks (e.g., ELK, Prometheus, Grafana). Strong system design skills able to design scalable, fault-tolerant, and maintainable systems. Familiarity with Git workflows, agile processes, and collaborative software development. Good To Have Experience with cloud platforms like AWS, Azure, or GCP. Knowledge of Helm, Terraform, or similar IaC tools. Understanding of GraphQL and streaming data pipelines (Kafka, Redis streams, etc.). Exposure to event-driven architectures and distributed systems. Publicly available GitHub contributions or tech blog posts. (ref:hirist.tech) Show more Show less