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Senior Data DevOps Engineer
- 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 postingDesign deployment standards for data pipelines
Improve reliability and observability across the data platform
Maintain IaC modules and reusable infrastructure components
Support Kubernetes and cloud workloads in production
Mentor L1-L2 engineers and drive technical improvements
From the employer’s posting
Design deployment standards for data pipelines
Improvement of reliability and observability across the data platform
Maintenance of IaC modules and reusable infrastructure components
Support for Kubernetes and cloud workloads in production
Mentorship of L1-L2 engineers and driving technical improvements
What you’ll bring
All qualificationsCore experience
- 5+ years in DevOps, Platform Engineering, SRE or Cloud Engineering
- Strong production experience with cloud infrastructure
- Expertise in Kubernetes or managed container platform in production
- Advanced Terraform/IaC skills, including modules, state and policies
- English at B2 level or higher
Qualification wording
5+ years in DevOps, Platform Engineering, SRE or Cloud Engineering
Strong production experience with cloud infrastructure
Expertise in Kubernetes or managed container platform in production
Advanced proficiency in Terraform/IaC including modules, environments and state, policies and reviews
English proficiency at B2 level or higher
Tools in this posting
- Python
- SQL
- BigQuery
- Databricks
- dbt
- Kafka
- Kubernetes
- Redshift
- Snowflake
- Spark
- Terraform
- Airflow
Source — Tool mentions in context
We are looking for a Senior Data DevOps Engineer able to own a data platform area end-to-end. The role includes designing deployment standards for data pipelines, improving reliability and observability, maintaining IaC modules, supporting Kubernetes and cloud workloads, mentoring engineers and working directly with Data Engineering and Security teams. Responsibilities Design deployment standards for data pipelines Improvement of reliability and observability across the data platform Maintenance of IaC modules and reusable infrastructure components Support for Kubernetes and cloud workloads in production Mentorship of L1-L2 engineers and driving technical improvements Collaboration with Data Engineering and Security teams Advanced CI/CD management including templates, release gates and promotion flows SLO/SLA thinking, capacity planning and cost optimization Ownership of monitoring, alerting and incident management Requirements 5+ years in DevOps, Platform Engineering, SRE or Cloud Engineering Strong production experience with cloud infrastructure Expertise in Kubernetes or managed container platform in production Advanced proficiency in Terraform/IaC including modules, environments and state, policies and reviews Advanced CI/CD skills including templates, release gates and security checks Strong competency in monitoring, alerting and incident management Skills in Python automation and API integrations Knowledge of Linux, networking and IAM, secrets, certificates and DNS/VPC basics Understanding of SQL and operational data pipelines Familiarity with at least one data-platform technology such as Airflow, Spark or Kafka, Databricks, Snowflake or BigQuery, Redshift, EMR/Glue/Dataproc or dbt, warehouse/lake, ELT, analytics platform or ML platform English proficiency at B2 level or higher
Posting record
Report an errorActively 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
EPAM Systems is hiring
656 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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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.
Large employers often post one title for several teams, so these can be separate openings.
Job description
We are looking for a Senior Data DevOps Engineer able to own a data platform area end-to-end. The role includes designing deployment standards for data pipelines, improving reliability and observability, maintaining IaC modules, supporting Kubernetes and cloud workloads, mentoring engineers and working directly with Data Engineering and Security teams. Responsibilities Design deployment standards for data pipelines Improvement of reliability and observability across the data platform Maintenance of IaC modules and reusable infrastructure components Support for Kubernetes and cloud workloads in production Mentorship of L1-L2 engineers and driving technical improvements Collaboration with Data Engineering and Security teams Advanced CI/CD management including templates, release gates and promotion flows SLO/SLA thinking, capacity planning and cost optimization Ownership of monitoring, alerting and incident management Requirements 5+ years in DevOps, Platform Engineering, SRE or Cloud Engineering Strong production experience with cloud infrastructure Expertise in Kubernetes or managed container platform in production Advanced proficiency in Terraform/IaC including modules, environments and state, policies and reviews Advanced CI/CD skills including templates, release gates and security checks Strong competency in monitoring, alerting and incident management Skills in Python automation and API integrations Knowledge of Linux, networking and IAM, secrets, certificates and DNS/VPC basics Understanding of SQL and operational data pipelines Familiarity with at least one data-platform technology such as Airflow, Spark or Kafka, Databricks, Snowflake or BigQuery, Redshift, EMR/Glue/Dataproc or dbt, warehouse/lake, ELT, analytics platform or ML platform English proficiency at B2 level or higher
Source details
Source notes
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- Pay
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- Location & working pattern
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- Work authorization
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