The Senior DevOps Engineer partners with software engineering to ensure that our platforms can be deployed and operated at scale. The candidate will aWe are looking for a software development engineers who excel in team environments and are excited about building cloud native platforms that can scale with the demand of our business.
SCOPE & RESPONSIBILITIES
Evangelize and cultivate adoption of Analytics Platform, open source software and Dev Ops principles within the organization
Ensure solutions are designed and developed using a scalable, highly resilient cloud native architecture
Participate in the utilization of a fully automated self-service platform in AWS that could also work in a hybrid cloud environment
Ensure product and technical features are delivered to spec and on-time
Develop tools and frameworks to improve security, reliability, maintainability, availability and performance for the technology foundation of our platform
Build Data pipelines, data validation frameworks, Job Scheduling with emphasis on automation and scale
Lead next generation big data analytics platform in the cloud, with emphasis on automation and scale
Be a key contributor to overall architecture, framework and design of Data & Analytics Platform
utomate operational processes including building and maintaining tools for deployment, monitoring and operations where they don't already exist.
SCOPE & RESPONSIBILITIES
Lead improvement of technical processes across Product teams to improve delivery, availability, and production readiness for platforms.
Develop and follow operational best practices for tools and automation development. Including: Style guides, versioning practices, source control, branching and merging patterns and advising other engineers on development standards
Develop and advocate for Operations best practices, standards and processes
Provide support to the Operations team to support, maintain and upgrade the existing configuration management environment
Help evaluate, build and deploy tools to assist with deployment framework required for each EP platform
Develop solutions in alignment with departmental goals, SLA's for availability, scalability and resiliency
Help develop strategies for zero down time deployments and patching
Work with teams to identify bottlenecks and opportunities for improvement in the deployment and build processes
Practice and mentor other engineers in continuous improvement, identifying and remediating manual actions and processes
Help troubleshoot issues and work with the team to address root cause to minimize the chance of a second occurrence.
Find opportunities to automate as part of the problem management process, creating automation to avoid issues.
Masters' or Bachelors' degree in Computer Science or a related field
10+ years of experience in large-scale software development
5+ years of experience architecting and building scalable data architecture
4+ years of Hands-on experience with AWS, Azure or GCP
Experience with both relational and No-SQL databases
Exposure to Docker, Kubernetes or other container technologies
Experience with participating in projects in a highly collaborative, multi-discipline development team environment
Exposure to Agile and test-driven development
Exposure to hierarchical and distributed code repository management tools like GIT
Great communications skills
Job ID: 00382431