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Open nowPosted 259 days ago

DevOps Engineer

247Hire

Where
Burbank
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Your applicationOpen nowDevOps Engineer247Hire · Burbank

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This job: posted 259 days ago

The posting

Job Description – add details here

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.

Responsibilities 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. 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. 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. 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. 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. 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.

Requirements 10+ years of Python experience 5+ years of experience with Kubernetes 5+ years of Terraform experience 5+ years of experience with Docker or Ansible, for seamless deployment 3+ years of experience with Splunk or Datadog

Preferred AWS Certifications (Solution Architect, DevOps Engineer, Developer, CloudOps) Experience with MLOps Managed Streaming for Kafka Experience with deploying machine learning models on AWS SageMaker Integration with AWS Lambda or CloudWatch

Technology Python, Kubernetes and Terraform Docker or Ansible Splunk or Datadog Deep hands-on expertise with AWS DevOps (Pipelines, Repos, Artifacts, Boards) for CI/CD automation and code deployment. Strong experience with build tools for Java, JavaScript, Maven, NPM. Strong experience developing build scripts using the tools that integrate well with AWS. Skilled in AWS infrastructure administration, including resource groups, networking, security, scaling, and monitoring. Interfacing with MySQL and Snowflake, and can script tools to manage them, move data, and maintain scalable playbooks. Strong skills in scripting various actions for deployment processes - data pipelines, managing servers. Strong experience in using and integrating with Git processes, scripting with it. Strong experience with managing backups, multi-region hosting – familiarity with various DR tools. Strong grasp of ITIL change management, DevSecOps principles, and release governance frameworks.

Soft Skills Proven experience managing end-to-end release cycles for enterprise-scale solution implementations or global rollouts. Excellent communication and stakeholder coordination skills, with the ability to manage global release calendars across vendors and regions.

Skills and Requirements – add details here

Requirements 10+ years of Python experience 5+ years of experience with Kubernetes 5+ years of Terraform experience 5+ years of experience with Docker or Ansible, for seamless deployment 3+ years of experience with Splunk or Datadog

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