Senior Systems Engineer - Data DevOps/MLOps

EPAM Systems; Gurugram District; On-site; INR 2,800,000 - 4,600,000; Full time

Benefits offered by this job

Health benefits

Retirement benefits

Paid time off

Flexible benefits

Job summary

EPAM Systems, Inc. is seeking a Senior Systems Engineer with deep Data DevOps and MLOps expertise to design, deploy, and manage large-scale data and ML pipelines. You will collaborate with data scientists and software engineers to productionize models and ensure robust CI/CD, monitoring, and governance.

The role requires hands-on experience with cloud platforms (Azure/AWS/GCP), IaC, containerization, and big data processing tools, enabling scalable, secure data workflows across geographies.

Qualifications

• 5+ years of experience in Data DevOps, MLOps or related roles.
• Experience with cloud platforms Azure, AWS, or GCP.
• Strong knowledge of CI/CD and IaC practices.

Responsibilities

• Develop, deploy, and manage CI/CD pipelines for data and ML workloads.
• Set up infrastructure for data processing and model training on cloud resources.
• Automate data validation, transformation, and workflow orchestration.
• Collaborate with data scientists and engineers to productionize ML models.
• Enhance model serving, monitoring, and reliability.
• Manage data versioning, lineage, and experiment reproducibility.
• Implement security protocols and regulatory compliance.
• Troubleshoot data and ML pipelines end-to-end.

Skills

Azure

AWS

GCP

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Apache Spark

Databricks

Python

Pandas

TensorFlow

PyTorch

Jenkins

GitLab CI/CD

GitHub Actions

MLflow

Kubeflow

Prometheus

Grafana

Airflow

dbt

Collibra

Hadoop

Hive

Education

Bachelor’s or Master’s degree in Computer Science/Data Engineering

Tools

Terraform

CloudFormation

Ansible

Docker

Kubernetes

Databricks

MLflow

Kubeflow

Prometheus

Grafana

Airflow

dbt

Hadoop

Hive

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.We are looking for a dedicated and proficient Senior Systems Engineer with extensive Data DevOps/MLOps knowledge to enhance our team.The ideal candidate should possess a comprehensive knowledge of data engineering, data pipeline automation, and machine learning model operationalization. The role demands a cooperative professional skilled in designing, deploying, and managing extensive data and ML pipelines in alignment with organizational objectives.ResponsibilitiesDevelop, deploy, and manage Continuous Integration/Continuous Deployment (CI/CD) pipelines for data integration and machine learning model deploymentSet up and sustain infrastructure for data processing and model training through cloud-based resources and servicesAutomate processes for data validation, transformation, and workflow orchestrationWork closely with data scientists, software engineers, and product teams for a smooth integration of ML models into productionEnhance model serving and monitoring to boost performance and dependabilityManage data versioning, lineage tracking, and the reproducibility of ML experimentsActively search for enhancements in deployment processes, scalability, and infrastructure resilienceImplement stringent security protocols to safeguard data integrity and compliance with regulationsTroubleshoot and solve issues throughout the data and ML pipeline lifecycleRequirementsBachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field5+ years of experience in Data DevOps, MLOps, or similar rolesProficiency in cloud platforms such as Azure, AWS, or GCPBackground in Infrastructure as Code (IaC) tools like Terraform, CloudFormation, or AnsibleExpertise in containerization and orchestration technologies including Docker and KubernetesHands-on experience with data processing frameworks such as Apache Spark and DatabricksProficiency in programming languages including Python with an understanding of data manipulation and ML libraries like Pandas, TensorFlow, and PyTorchFamiliarity with CI/CD tools including Jenkins, GitLab CI/CD, and GitHub ActionsExperience with version control tools and MLOps platforms such as Git, MLflow, and KubeflowStrong understanding of monitoring, logging, and alerting systems including Prometheus and GrafanaExcellent problem-solving abilities with capability to work independently and in teamsStrong skills in communication and documentationNice to haveBackground in DataOps concepts and tools such as Airflow and dbtKnowledge of data governance platforms like CollibraFamiliarity with Big Data technologies including Hadoop and HiveCertifications in cloud platforms or data engineeringWe offerOpportunity to work on technical challenges that may impact across geographiesVast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certificationsOpportunity to share your ideas on international platformsSponsored Tech Talks & HackathonsUnlimited access to LinkedIn learning solutionsPossibility to relocate to any EPAM office for short and long-term projectsFocused individual developmentBenefit package:Health benefitsRetirement benefitsPaid time offFlexible benefitsForums to explore beyond work passion (CSR, photography, painting, sports, etc.)