Sr. DevOps Engineer

Job Location – Burbank, CA / Hybrid – Tues, Wed, Thurs. onsite

Type – Contract (12 Months with Possible Extension)

Pay Rate – $90.00 – $100.00 Per Hour

W2 Candidates Only

As a Senior DevOps Engineer, you will own the end to end release management lifecycle for monetization platforms, defining release strategy, environment management, and deployment governance. You will ensure code, configuration, and data changes move safely and consistently from development through production, maximizing platform stability and minimizing risk. This role blends hands on DevOps engineering with AWS infrastructure and deployment leadership, serving as a central coordination point across engineering, architecture, and program management to deliver reliable, secure, and scalable enterprise platforms.

Job Responsibilities

Release Governance & Planning

• Define and own release management framework, including deployment calendar, release cadence, quality gates, and approval workflows.
• Establish and enforce release governance processes, ensuring all code/config changes are reviewed, tested, and signed off prior to deployment.
• Coordinate with delivery leads, solution architects, and functional consultants to align release schedules with project milestones and business readiness.
• Manage cutover planning, go-live execution, and post-release validation activities.
• Serve as the single point of accountability for all releases across multiple environments and systems.

DevOps & Automation

• Design, build, and manage AWS DevOps pipelines for Monetization business applications and integrations.
• Implement CI/CD automation for build, package, deploy, and regression testing across environments.
• Govern branching, merging, and build strategies in AWS based Repos or Git-based source control systems.
• Collaborate with development teams to define automated testing and quality validation processes.
• Maintain deployment scripts, tools, and templates to accelerate and standardize releases.

Environment & Infrastructure Management

• Oversee all environments—Development, SIT, UAT, Pre-Prod, and Production—ensuring consistency and version alignment.
• Manage environment refreshes, data masking, configuration migration, and database backups in collaboration with infrastructure and engineering teams.
• Coordinate with AWS Infrastructure teams to manage resource provisioning, scaling, and monitoring for the AWS based data and web applications.
• Ensure high availability and disaster recovery readiness through AWS-based resilience strategies. Follow principles of AWS Well-Architected Framework.
• Collaborates well with the Studio Infrastructure Group to maintain company-wide standards for Cloud Engineering.

Technical Leadership & Collaboration

• Partner with Solution and Technical Architects to define and implement DevSecOps best practices.
• Act as the technical authority for release and deployment decisions—balancing speed, quality, and control.
• Collaborate with AWS Service teams, Snowflake vendor teams, Managed Services, and SI partners to resolve release issues and adopt platform best practices.
• Provide mentoring, knowledge transfer, and upskilling for internal DevOps and support teams.

Quality, Security & Compliance

• Ensure releases adhere to internal IT governance, SOX, GDPR, and change management controls.
• Implement automated compliance validation and reporting within AWS DevOps pipelines.
• Maintain complete audit trails and release documentation for traceability and operational assurance.
• Define rollback and contingency strategies for high-risk releases.

Continuous Improvement

• Monitor deployment metrics (frequency, lead time, failure rate) and drive ongoing improvements in release efficiency and quality.
• Evaluate new AWS, Docker, Kubernetes related features, proposing enhancements to existing toolchains and workflows.
• Champion a culture of automation, reliability, and transparency in delivery practices.

Must Have Skills / Requirements

• Python Experience – a. 10+ years of experience
• Kubernetes Experience – 5+ years of experience
• Terraform Experience – 5+ years of experience; Docker or Ansible for seamless deployment.
• SPLUNK or Datadog Experience – 3+ years of experience

Nice to Have Skills / Preferred Requirements

• Preferred to have AWS Certifications – Solution Architect, DevOps Engineer, Developer, CloudOps
• Experience with ML Ops.
• Managed Streaming for Kafka
• Experience with deploying machine learning models on AWS Sagemaker
• Integrating with AWS Lambda or CloudWatch.