Senior Software Engineer
Experience : 3 - 5 Years Location : Bangalore
Full-time Hybrid Role
As a Senior Software Engineer specializing in building data driven applications, you will play a key role in designing, building, Senseloaf AI-powered recruiting products. You’ll work closely with product, design, and engineering teams to turn complex recruiting workflows into simple, intelligent experiences.
Key Responsibilities:
● Develop, improve, and extend Senseloaf’s AI applications capabilities.
● Extend, architect and own the backend infrastructure.
● Build and scale integrations with a wide range of external platforms and tools.
● Design and implement REST APIs for our internal backend systems and third-party integrations.
● Build real-time data flows, event-driven pipelines, and high-performance API systems.
● Leverage cloud platforms like AWS, utilizing technologies like Docker and Kubernetes to deploy, manage, and scale services securely and efficiently.
● Rigorously test, validate, and optimize the performance and reliability of features to meet high standards of accuracy, latency, and scalability.
● Implement clean, maintainable system designs and contribute to a strong engineering culture with code reviews, documentation, and best practices.
● Set up and maintain CI/CD pipelines to enable fast, safe, and repeatable deployments
● Working with NoSQL database services like MongoDB and Vector Database.
● Mentor engineers, conduct code reviews, and shape engineering best practices.
● Implement SOC2-aligned authentication, encryption, and access control patterns.
● Lead experiments, prototypes, and rapid iterations on new capabilities. Required Skills & Qualifications:
● 3-5 years of hands-on experience building and scaling Data driven applications in production. ● Strong proficiency in Python, building REST APIs and WebSocket-based services, using asynchronous programming patterns and streaming architectures with FastAPI.
● Experience with scaling background tasks processing using Celery and Redis.
● Experience deploying Dockerized applications on AWS using services such as Lambda, EC2, EKS, or ECS.
● Strong familiarity with Git and platforms like Bitbucket.
● Solid understanding of NoSQL databases (MongoDB preferred) and experience working with vector databases.
● Ability to work with data for analysis and decision-making, including designing aggregation pipelines, searching and filters queries, writing analytical queries, and developing dashboards/ monitoring systems to derive actionable insights.
● Experience working with monitoring and logging framework/tools such as open telemetry, Grafana, CloudWatch, or equivalent.
● (Nice to have) Familiarity with RAG pipelines, prompt engineering, tool-calling/function-calling, and working with proprietary/ opensource LLM models.
Key Skills: Python, FastAPI, Celery, Redis, Mongodb, Oauth, Grafana, Prometheus, Websocket, Async programming, Streaming architecture, Vector Database, Docket, AWS, Kubernetes, integrations
Apply at https://freelancer.expertshub.ai/auth/sign-up?marketingCode=EXPMRJEN002