Lead Software Engineer ML Ops & System Engineering

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

As a Lead Software Engineer at our company, you will be responsible for designing, building, and scaling high-performance infrastructure with expertise in ML Ops, distributed systems, and platform engineering. Your key responsibilities will include: - Designing and developing scalable, secure, and reliable microservices using Golang and Python. - Building and maintaining containerized environments using Docker and orchestrating them with Kubernetes. - Implementing CI/CD pipelines with Jenkins for automated testing, deployment, and monitoring. - Managing ML workflows with MLflow to ensure reproducibility, versioning, and deployment of machine learning models. - Leveraging Temporal for orchestrating complex workflows and ensuring fault-tolerant execution of distributed systems. - Working with AWS cloud services (EC2, S3, IAM, basics of networking) to deploy and manage scalable infrastructure. - Collaborating with data science and software teams to bridge the gap between ML research and production systems. - Ensuring system reliability and observability through monitoring, logging, and performance optimization. - Mentoring junior engineers and leading best practices for ML Ops, DevOps, and system design. To be successful in this role, you should have: - Minimum 5+ years of experience. - Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. - Strong programming skills in Golang and Python. - Hands-on experience with Kubernetes and Docker in production environments. - Proven experience in microservices architecture and distributed systems design. - Good understanding of AWS fundamentals (EC2, S3, IAM, networking basics). - Experience with MLflow for ML model tracking, management, and deployment. - Proficiency in CI/CD tools (preferably Jenkins). - Knowledge of Temporal or similar workflow orchestration tools. - Strong problem-solving and debugging skills in distributed systems. - Excellent communication and leadership skills with experience mentoring engineers.,

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