Lead Software Engineer - ML Ops & System Engineering

5 - 10 years

8 - 13 Lacs

Posted:5 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

About the Role:
    • We are looking for a Lead Software Engineer with strong expertise in ML Ops, distributed systems, and platform engineering to design, build, and scale high-performance infrastructure. You will lead initiatives across software engineering, system reliability, and machine learning operations to deliver robust, production-ready solutions.
Key Responsibilities
    • Design & 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.
Required Skills & Experience:
    • 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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Appzen

Financial Services/Technology

San Francisco

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