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# Sr DevOps Engineer

- **Company:** Experis
- **Location:** Seattle, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $170,560.0 - $183,040.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Business Process Modeling, Cloud Engineering, Information Engineering, Data Governance, Data Infrastructure, Data Security, Identity and Access Management, Snowflake, Apache Spark, Data Lakes, Deployment Automation, Apache Kafka, Terraform, Databricks
- **Published:** October 13, 2026
- **Apply:** https://www.experis.com/en/job/409991/sr-devops-engineer

## About the Role

Our Client is seeking a Sr DevOps Engineer to join their team either in Denver or Seattle. As a Sr DevOps Engineer, you will be part of the Data Platform Operations team supporting data infrastructure and platform management. They will own and enhance the organization's Infrastructure-as-Code framework using Terraform, including provisioning, managing, and scaling cloud infrastructure, enforcing Terraform best practices, and maintaining reusable modules to ensure consistency, reliability, and governance across environments. The ideal candidate will have strong problem-solving skills, a collaborative mindset, and a proactive approach to operational excellence, which will align successfully in the organization., + * Proven experience working in software, platform, or Data Ops teams in a complex environment.

 * Expert-level Terraform knowledge with experience implementing Infrastructure-as-Code best practices in production environments. This is a key requirement for the role, as Terraform is the foundation of the team's infrastructure provisioning, management, and operational automation strategy.
 * Deep understanding of large-scale data platforms, data lakes, or distributed systems.
 * Deep understanding of IAM, data security, data governance, compliance, security controls, and audit requirements.
 * Experience driving cost optimization across storage, compute, and tooling.
 * Familiarity with SRE principles, deployment automation, monitoring, and incident management.
 * A strong automation mindset with a track record of improving operational efficiency.
 * Experience partnering effectively with cross-functional stakeholders and external technical teams.
 * Excellent communication, problem-solving, and strategic thinking skills.
Nice to Have:

 * Hands-on experience with Databricks, Snowflake, Apache Spark, Airflow, Kafka, Delta Lake, Iceberg, or similar technologies.
 * Strong expertise in GCP-based data platform operations and cloud-native architecture; AWS experience is considered an advantage.

## Description

+ Be a part of the Data Platform Operations team and contribute to the operational strategy for the Datalake and related data services. The infrastructure is being built and managed through Terraform so you will need to own the process.
 * Implement Infrastructure-as-Code (Terraform) and operational automation.
 * Drive data security and governance by improving access provisioning, enforcing compliance standards, and protecting data integrity.
 * Optimize storage, compute, and tooling usage to improve cost efficiency and eliminate waste.
 * Drive platform performance tuning and optimization across storage, compute, networking, and data processing workloads.
 * Partner with security teams to strengthen IAM, RBAC, secrets management, encryption, and audit compliance.
 * Apply SRE best practices to standardize deployments, improve resilience, and reduce downtime.
 * Strengthen monitoring and observability across the platform to improve reliability and incident response.
 * Oversee maintenance, scaling, and automation of operational workflows.
 * Introduce AI-driven optimization to improve performance, streamline processes, and support future growth
What's Needed?