Lead Software Engineer ML Ops & System Engineer

As a Lead Software Engineer specializing in ML Ops and System Engineering, your role will involve designing, building, and scaling high-performance infrastructure while leading initiatives in software engineering, system reliability, and machine learning operations to deliver robust, production-ready solutions. Key Responsibilities: - Design and develop scalable, secure, and reliable microservices using Golang and Python. - Build and maintain containerized environments using Docker and orchestrate them with Kubernetes. - Implement CI/CD pipelines with Jenkins for automated testing, deployment, and monitoring. - Manage ML workflows with MLflow, ensuring reproducibility, versioning, and deployment of machine learning models. - Leverage Temporal for orchestrating complex workflows and ensuring fault-tolerant execution of distributed systems. - Work with AWS cloud services (EC2, S3, IAM, basics of networking) to deploy and manage scalable infrastructure. - Collaborate with data science and software teams to bridge the gap between ML research and production systems. - Ensure system reliability and observability through monitoring, logging, and performance optimization. - Mentor junior engineers and lead best practices for ML Ops, DevOps, and system design. Qualifications Required: - 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.,