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EPAM Systems

Senior Data DevOps Engineer

Hungary

Actively hiring, first seen by us 2 days ago
Pay
Pay not listed
Work setting
Remote — work setting source
Work setup in the employer’s posting: TELECOMMUTE
From the employer’s posting
Employment
Not stated

What you’ll work on

Full posting

  • Support data engineering and machine learning teams with production-ready infrastructure

  • Automate build, deployment, and operational processes

  • Ensure reliability, performance, security, and observability of systems

  • Troubleshoot production issues and collaborate with development teams

From the employer’s posting
Support data engineering and machine learning teams with production-ready infrastructure
Automate build, deployment, and operational processes
Ensure reliability, performance, security, and observability of systems
Troubleshoot production issues and collaborate with development teams

What you’ll bring

All qualifications

Core experience

  • At least 4 years in DevOps, cloud or data platform roles
  • Bachelor's degree in Computer Science or equivalent practical experience
  • Strong Linux/Unix administration, networking and performance tuning
  • Experience designing and operating production-grade systems
  • Python, at least 2 years hands-on
Qualification wording
Minimum 4 years of professional experience in DevOps / Cloud / Data Platform roles
Bachelor’s degree in Computer Science or equivalent practical experience
Strong Linux/Unix administration, networking, troubleshooting, performance tuning, and optimization skills
Experience designing and operating production-grade systems
Python (minimum 2 years hands-on experience)

Tools in this posting

  • Bash
  • Python
  • AWS
  • Azure
  • BigQuery
  • Databricks
  • Datadog
  • Delta Lake
  • Docker
  • Elasticsearch
  • GCP
  • Grafana
  • Hadoop
  • Kafka
  • Kubernetes
  • MLflow
  • Prefect
  • Redshift
  • S3
  • SageMaker
  • Spark
  • Terraform
  • Airflow
Source — Tool mentions in context
We are seeking a Senior Data DevOps Engineer to design, build and operate robust cloud-based data platforms, supporting data engineering and machine learning teams with scalable, production-ready infrastructure. Technologies we are interested in... Cloud Platforms · AWS: EC2, S3, IAM, VPC; Glue, Redshift, EMR, Kinesis; SageMaker · Azure: VM, Storage, RBAC, Networking; Synapse, Data Factory, Event Hubs; Azure ML · GCP (basic): BigQuery, Pub/Sub, Dataflow Infrastructure, Containers & Automation · Infrastructure as Code: Terraform (AWS & Azure), Terragrunt, ARM / Bicep · Containers & orchestration: Docker, Kubernetes (EKS / AKS), Helm · Configuration management: Ansible, Chef, Puppet or similar · CI/CD: Jenkins, TeamCity, Bamboo, GoCD or similar Data, Streaming & ML Platforms · Apache Spark, Apache Kafka · Delta Lake / Lakehouse architectures · Databricks · Workflow orchestration: Airflow or Prefect · MLOps & ML platforms: MLflow, Feature Stores (Feast), Model Serving (KFServing, TorchServe) Big Data, Monitoring & Security · Hadoop: HDFS, YARN; Cloudera or Hortonworks; Ambari, Cloudera Manager; Hive, HUE, Spark; Hadoop Security (intermediate) · Monitoring & observability: Prometheus, Grafana, Datadog, Zabbix, Nagios · Search & analytics: Elasticsearch (intermediate) · Security best practices and authentication/authorization: LDAP, Kerberos, SAML Programming · Python (minimum 2 years hands-on experience) · One scripting language: Bash, Perl, or Groovy Responsibilities Design, build, and operate highly available, scalable cloud-based data platforms Support data engineering and machine learning teams with production-ready infrastructure Automate build, deployment, and operational processes Ensure reliability, performance, security, and observability of systems Troubleshoot production issues and collaborate with development teams Create and maintain technical documentation, procedures, and knowledge transfers Requirements Bachelor’s degree in Computer Science or equivalent practical experience Minimum 4 years of professional experience in DevOps / Cloud / Data Platform roles Strong Linux/Unix administration, networking, troubleshooting, performance tuning, and optimization skills Experience designing and operating production-grade systems Strong analytical, problem-solving, and communication skills Ability to visualize and explain architectures English B2 or higher
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Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 1, 20262 days ago
Recorded sightings
4
Last seen by us
Nov 4, 2026
Employer says posted
Sep 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 68.

From 4,292 similar postings that came down. Coming down is not always a hire.

EPAM Systems is hiring

656 open jobs

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Hiring record

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Has EPAM Systems posted this job before?

Yes. We’ve followed 5 other Senior Data DevOps Engineer jobs there since November 2026. All 5 are still up.

  1. Place not statedStill up after 3 days, first seen Nov 1
  2. Place not statedStill up after 3 days, first seen Nov 1
  3. Place not statedStill up after 3 days, first seen Nov 1
  4. Place not statedStill up after 3 days, first seen Nov 1
  5. This jobUp 3 days so far, first seen Nov 1
  6. Place not statedStill up after 0 days, first seen Nov 4

Large employers often post one title for several teams, so these can be separate openings.

Job description

View original posting ↗

We are seeking a Senior Data DevOps Engineer to design, build and operate robust cloud-based data platforms, supporting data engineering and machine learning teams with scalable, production-ready infrastructure. Technologies we are interested in... Cloud Platforms · AWS: EC2, S3, IAM, VPC; Glue, Redshift, EMR, Kinesis; SageMaker · Azure: VM, Storage, RBAC, Networking; Synapse, Data Factory, Event Hubs; Azure ML · GCP (basic): BigQuery, Pub/Sub, Dataflow Infrastructure, Containers & Automation · Infrastructure as Code: Terraform (AWS & Azure), Terragrunt, ARM / Bicep · Containers & orchestration: Docker, Kubernetes (EKS / AKS), Helm · Configuration management: Ansible, Chef, Puppet or similar · CI/CD: Jenkins, TeamCity, Bamboo, GoCD or similar Data, Streaming & ML Platforms · Apache Spark, Apache Kafka · Delta Lake / Lakehouse architectures · Databricks · Workflow orchestration: Airflow or Prefect · MLOps & ML platforms: MLflow, Feature Stores (Feast), Model Serving (KFServing, TorchServe) Big Data, Monitoring & Security · Hadoop: HDFS, YARN; Cloudera or Hortonworks; Ambari, Cloudera Manager; Hive, HUE, Spark; Hadoop Security (intermediate) · Monitoring & observability: Prometheus, Grafana, Datadog, Zabbix, Nagios · Search & analytics: Elasticsearch (intermediate) · Security best practices and authentication/authorization: LDAP, Kerberos, SAML Programming · Python (minimum 2 years hands-on experience) · One scripting language: Bash, Perl, or Groovy Responsibilities Design, build, and operate highly available, scalable cloud-based data platforms Support data engineering and machine learning teams with production-ready infrastructure Automate build, deployment, and operational processes Ensure reliability, performance, security, and observability of systems Troubleshoot production issues and collaborate with development teams Create and maintain technical documentation, procedures, and knowledge transfers Requirements Bachelor’s degree in Computer Science or equivalent practical experience Minimum 4 years of professional experience in DevOps / Cloud / Data Platform roles Strong Linux/Unix administration, networking, troubleshooting, performance tuning, and optimization skills Experience designing and operating production-grade systems Strong analytical, problem-solving, and communication skills Ability to visualize and explain architectures English B2 or higher
Source details

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Pay

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Location & working pattern

Hungary

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Work authorization

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Open source at careers.epam.com ↗Read the full description ↓
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