Senior Software Engineer

0 years

7 - 11 Lacs

Posted:2 months ago| Platform: Naukri logo

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Full Time

Job Description

Job Description We are looking for a skilled Senior Software Engineer to contribute to the development of AI and machine learning (ML) integrations and back-end solutions using Python. You will play a key role in developing our AI-powered SaaS solutions Heka.ai, collaborating with cross-functional teams to solve data-centric problems. This position emphasizes Python back-end development, with additional involvement in AI and ML model integration and optimization. Key Responsibilities Back-End Development: Design, develop, and optimize back-end services using Python, focusing on microservices and data-centric applications. AI ML Models: Work closely with data scientists to integrate AI and ML models into back-end systems and ensure seamless performance of the applications. Containerization Orchestration: Deploy and manage containerized applications using Docker and Kubernetes. Database Management: Manage SQL (PostgreSQL) and NoSQL (MongoDB) databases, ensuring high performance and scalability. Infrastructure as Code (IaC): Use Terraform and Helm to manage cloud infrastructure. Cloud Infrastructure CI: Work with GCP / AWS / Azure for deploying and managing applications in the cloud. Management of continuous software integration (tests writing, artifacts building, etc.) Cross-Functional Collaboration: Collaborate with DevOps, Data Scientists, and Data Engineers to build scalable AI solutions. Contribution to the back end, front-end and software architecture of applications Qualifications Education: Bachelor s/masters degree in computer science, Software Engineering, or a related field. Experience: 3-6 years of experience in software development, with a focus on Python back-end development. Skills: Strong proficiency in Python and experience with frameworks like Flask. Experience with C#, as well as with ReactJs for front-end development is a plus. Extensive experience with cloud platforms (GCP, AWS) and microservices architecture. Working knowledge of Docker, Kubernetes, CI/CD pipelines (GitLab) and ability to write unit tests. Database management with PostgreSQL / MongoDB. Experience mentoring and leading engineering teams.

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