Lead Systems Engineer - Data DevOps/MLOps

V2 Solutions; Chennai District; On-site; INR 3,580,000 - 4,060,000; Full time

Job summary

EPAM Systems in Chennai, India is seeking a Lead Systems Engineer with Data DevOps/MLOps expertise to drive scalable data and ML workflows from development to production. You will design and deploy CI/CD pipelines, build cloud-based infrastructure, automate data processing, and collaborate with data scientists to productionize models.

Emphasis on security, monitoring, and data lineage in large-scale systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field.
• 8+ years of Data DevOps/MLOps experience.
• Strong cloud expertise (Azure, AWS, or GCP).
• Experience with CI/CD and IaC tooling.

Responsibilities

• Design, deploy, and manage CI/CD pipelines for data and ML deployments.
• Build scalable infra for processing, training, and serving ML models on cloud.
• Automate data validation, transformation, and orchestration workflows.
• Collaborate with data scientists and engineers to productionize ML solutions.
• Improve model serving, monitoring, and reliability; ensure data versioning and lineage.

Skills

Leadership

Problem solving

Communication

Python programming

Education

Bachelor's/Master's in CS or related

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Git

MLflow

Job description

# Lead Systems Engineer - Data DevOps/MLOpsEPAM SystemsPosted on August 19, 2026---Experience8 - 13 yrsSalary (CTC)₹35.8L - ₹40.6LJob LocationChennai, IndiaVacancy1DesignationLead DevOps EngineerJob TypeONSITE---## Job DescriptionWe are seeking a skilled and passionate **Lead Systems Engineer** with Data DevOps/MLOps expertise to drive innovation and efficiency across our data and machine learning operations.Responsibilities* Design, deploy, and manage CI/CD pipelines for seamless data integration and ML model deployment* Establish robust infrastructure for processing, training, and serving machine learning models using cloud-based solutions* Automate critical workflows such as data validation, transformation, and orchestration for streamlined operations* Collaborate with cross-functional teams, including data scientists and engineers, to integrate ML solutions into production environments* Improve model serving, performance monitoring, and reliability in production ecosystems* Ensure data versioning, lineage tracking, and reproducibility across ML experiments and workflows* Identify and implement opportunities to improve scalability, efficiency, and resilience of the infrastructure* Enforce rigorous security measures to safeguard data and ensure compliance with relevant regulations* Debug and resolve technical issues in data pipelines and ML deployment workflowsRequirements* Bachelors or Masters degree in Computer Science, Data Engineering, or a related field* 8+ years of experience in Data DevOps, MLOps, or related disciplines* Expertise in cloud platforms such as Azure, AWS, or GCP* Skills in Infrastructure as Code tools like Terraform, CloudFormation, or Ansible* Proficiency in containerization and orchestration technologies such as Docker and Kubernetes* Hands-on experience with data processing frameworks including Apache Spark and Databricks* Proficiency in Python with familiarity with libraries including Pandas, TensorFlow, and PyTorch* Knowledge of CI/CD tools such as Jenkins, GitLab CI/CD, and GitHub Actions* Experience with version control systems and MLOps platforms including Git, MLflow, and Kubeflow* Understanding of monitoring and alerting tools like Prometheus and Grafana* Strong problem-solving and independent decision-making capabilities* Effective communication and technical documentation skillsNice to have* Background in DataOps methodologies and tools such as Airflow or dbt* Knowledge of data governance platforms like Collibra* Familiarity with Big Data technologies such as Hadoop or Hive* Showcase of certifications in cloud platforms or data engineering tools## Company DetailsEPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.