Description
This Lead DevOps Engineer position is a key role within the SRC Team, facilitating adoption of standard DevOps toolsets and contributing to standard architecture patterns for onboarding applications into Cloud.
The role involves involvement throughout project lifecycle – from gathering Requirements to Production deployment, and interaction with a wide variety of teams to generate and refine resources including cloud patterns, templates for CI/CD pipelines, application builds, automated testing, code scanning to production deployments.
Responsibilities:
- Design and build code to provision the full stack from infrastructure through to application
- Participate in deep dive analysis and provide maturity assessments of current DevOps practices
- Develop CI/CD pipelines to orchestrate the promotion of code
- Integrate the application into the operations architecture such as Datadog, Control-M, Rubrik
- Support the project teams to ensure operational requirements are met and changes impacted and implemented
- Provide Technical expertise in resolving automation engineering, coding, and architecture issues
- Adhere to the appropriate group governance processes (Incident, Problem, Change, Release etc)
- Support development changes, provide accurate time estimates, attend project meetings and provide impact analysis for proposed project work and deliver to deadlines
- Provide technical advice and risk assessment based on knowledge of applications, databases and system software
- Take ownership of operational live service issues and drive resolution
- Identify industry trends and ensure that these are reflected in the resources provided to development teams
- Proactively identify operational risks and technical debt
- Contribute to creating educational materials and conducting training and mentoring sessions on DevOps-related subjects
Requirements:
- 5+ years in Building cloud native solutions via Infrastructure as Code (IAC) defining patterns and practices
- Experience with DevOps Automation across various Technologies such as Secrets Mgmt, Code/Binary Scans and other SDLC tools
- Working at scale in large enterprise organisations implementing niche, end-to-end advanced technology solutions
- Building CI/CD pipelines orchestrating the promotion of code using open source or COTS products
- Defining, implementing cloud native operational requirements
- Defining standards on observability and implementing cloud alerting solutions
- Cloud Technology across cloud service providers: Azure, AWS & GCP
- Relevant experience may include AWS, Linux/Unix, Kubernetes, Docker, Terraform, Ansible, Git-based source control, Jenkins or comparable CI/CD platforms, Python, Bash, PowerShell, Kafka, SQL/Oracle, Control-M, Rundeck, Datadog or similar observability platforms, Jira and Confluence
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