01Key Responsibilities
Core DevOps, DevSecOps & CI/CD
Act as the DevOps specialist, leveraging DevOps and DevSecOps expertise to design, build, and maintain CI/CD pipelines for cloud data warehouse and analytics ecosystem platforms.
Develop automation and processes that enable teams to deploy, manage, configure, scale, and monitor applications efficiently.
Monitor and maintain the stability, performance, and reliability of CI/CD environments.
Automating build processes using GitHub, GitHub Actions
Integrate security and quality controls into CI/CD pipelines, including CodeQL, Veracode, and Sonar.
Develop custom Python based checks and validations and integrate them into CI/CD workflows to enforce standards and reduce risk.
Cloud Platform Engineering & Collaboration & Continuous Improvement
Deliver solutions in complex, distributed system environments, with a strong focus on Google Cloud Platform and enterprise data ecosystems, including ETL, BI, and data governance platforms.
Manage and maintain build and deployment infrastructure, including Bamboo agents, SDKs, service accounts, and keys on Unix based build servers.
Collaborating with other members of the DevOps team to achieve common goals
Drive continuous improvements to deployment processes, platform reliability, security, and operational efficiency.
Stay current with emerging DevOps, SRE, and cloud technology trends; evaluate and adopt new tools and practices where appropriate.
Required Qualifications:
Required Experience
5+ years of experience in DevOps, platform engineering, cloud automation, or software delivery for enterprise platforms.
3+ years designing and operating CI/CD pipelines at enterprise scale using Bamboo and/or Jenkins, with demonstrated modernization experience toward GitHub-based delivery.
2+ years of hands-on experience with GitHub, including GitHub Actions and enterprise repository and pipeline standards.
2+ years building automation using Ansible, Python, and shell scripting across provisioning, deployment, configuration, and compliance use cases.
1+ years supporting software platforms within large-scale data ecosystems, including exposure to enterprise ETL and data integration environments (e.g., SSIS, SSIL, Informatica PowerCenter, IICS, Talend, Erwin).
Demonstrated experience in creating automation for databases Google Big Query, Oracle, MySQL, SQL Server
Demonstrated experience implementing database change and versioning governance using Liquibase.
Experience implementing CICD for enterprise job scheduling and orchestration using Control-M and/or Autosys.
Experience with production monitoring and observability ecosystems Yo
