Senior Systems Engineer - Data DevOps/MLOps

TymblHub; Chennai; On-site; INR 2,050,000 - 2,260,000; Full time

Job summary

EPAM Systems in Chennai, India seeks a Senior Systems Engineer specializing in Data DevOps/MLOps to design and manage scalable data and ML pipelines. You will build cloud-based infra, automate data workflows, and collaborate across teams to deploy models in production.

The role emphasizes data integrity, reproducibility, and robust monitoring, with opportunities to optimize deployment and scaling in a dynamic environment.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Minimum 5 years of experience in Data DevOps, MLOps, or a similar role.
• Hands-on experience with Azure, AWS, or GCP cloud platforms.
• Proficiency with IaC tools like Terraform, CloudFormation, or Ansible.
• Strong skills in Docker and Kubernetes for containerized workloads.

Responsibilities

• Design CI/CD pipelines for data integration and ML model deployment.
• Build and maintain cloud-based infrastructure for data processing and model training.
• Automate data validation, transformation, and workflow orchestration.
• Collaborate with data scientists, software engineers, and product teams to deploy ML models.
• Improve model serving and monitoring for performance and reliability.
• Maintain data versioning, lineage, and reproducibility across ML experiments.

Skills

Cloud platforms

CI/CD

Python programming

Data pipeline design

ML model deployment

Education

Bachelor's or Master's in CS/Data Engineering

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Apache Spark

Databricks

MLflow

Kubeflow

Jenkins

GitHub Actions

Prometheus

Grafana

Job description

# Senior Systems Engineer - Data DevOps/MLOpsEPAM SystemsPosted on October 22, 2026---Experience5 - 8 yrsSalary (CTC)₹20.5L - ₹22.6LJob LocationChennai, IndiaVacancy1DesignationSenior Devops EngineerJob TypeNot specified---## Job DescriptionWe're seeking a motivated and detail-oriented **Senior Systems Engineer** who specializes in Data DevOps/MLOps to join our team.The successful candidate will have in-depth knowledge of data engineering, data pipeline automation, and the integration of machine learning models into production systems. We're looking for a collaborative team player skilled at building, deploying, and managing scalable data and ML pipelines that support strategic goals.**Responsibilities*** Design CI/CD pipelines for data integration and machine learning model deployment* Build and maintain cloud-based infrastructure for data processing and model training* Automate data validation, transformation, and workflow orchestration processes* Work closely with data scientists, software engineers, and product teams to deploy ML models into production* Improve model serving and monitoring processes to boost performance and reliability* Maintain data versioning, lineage tracking, and reproducibility across ML experiments* Spot opportunities to improve deployment processes, scalability, and infrastructure resilience* Apply security protocols to protect data integrity and ensure compliance* Troubleshoot and resolve issues throughout the data and ML pipeline lifecycle**Requirements*** Bachelor's or Master's degree in Computer Science, Data Engineering, or a similar field* At least 5 years of experience working in Data DevOps, MLOps, or a comparable role* Hands-on experience with cloud platforms such as Azure, AWS, or GCP* Experience using Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or Ansible* Strong skills in containerization and orchestration tools such as Docker and Kubernetes* Experience working with data processing frameworks like Apache Spark or Databricks* Strong Python skills, along with experience using data manipulation and ML libraries such as Pandas, TensorFlow, or PyTorch* Experience with CI/CD tools such as Jenkins, GitLab CI/CD, or GitHub Actions* Familiarity with version control systems like Git and MLOps platforms such as MLflow or Kubeflow* Working knowledge of monitoring, logging, and alerting tools like Prometheus or Grafana* Solid problem-solving skills and the ability to work both independently and as part of a team* Strong communication and documentation abilities**Nice to have*** Experience with DataOps practices and tools such as Airflow or dbt* Familiarity with data governance frameworks and tools like Collibra* Exposure to Big Data technologies such as Hadoop or Hive* Certifications related to cloud platforms or data engineeringAbout the company## EPAM SystemsIT Services & Consulting · Foreign MNCEPAM Systems delivers digital transformation and product engineering solutions, addressing complex challenges in diverse industries through innovative technology.Newtown, Pennsylvania, United Stateswelcome.epam.in