Time since we first saw it
Day 2
Early. Similar jobs usually come down between day 5 and day 54.
From 10,704 similar postings that came down. Coming down is not always a hire.
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.
Hiring recordYour next step
Check the employer’s posting for the current role and application details.
Already applied? Track this application
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.
About the role
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
US government figures for database architects
- Median yearly pay, May 2025
- $139,500
- Expected change, 2025 to 2035
- 9.4% more jobsagainst 3.5% for all jobs
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Location not supplied.
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
AI answers unavailable
We couldn’t identify enough role detail in this saved description to support an AI answer. Read the full posting