DevOps Engineer III
Indexed description
Recruiting for this role ends on 11/01/2026.
Work you'll do
As a Senior Consultant, Engineering Foundry, AI & E/EaaS - DevOps on the AI & Engineering team, you will be responsible for...
- Designing, implementing, and supporting DevOps pipelines, infrastructure automation, and continuous integration and continuous deployment practices across client environments
- Collaborating with client and Deloitte teams to assess current-state engineering processes and define target-state DevOps operating models, tooling, and workflows
- Building and maintaining cloud infrastructure, platform services, and deployment automation using infrastructure as code and configuration management tools
- Monitoring application and platform performance, identifying issues, and implementing improvements to reliability, scalability, security, and release quality
- Contributing to project deliverables, technical documentation, environment standards, and implementation plans while supporting client-facing discussions and delivery milestones
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to provide clear guidance to others
- Bachelor's degree in Computer Science, Engineering or a related discipline
- 6+ years of experience with DevOps engineering, platform engineering, site reliability engineering, or infrastructure automation
- 6+ years of experience with at least one major cloud platform, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- 4+ years of experience building and maintaining continuous integration and continuous deployment pipelines
- 4+ years of experience using infrastructure as code tools, such as Terraform, AWS CloudFormation, or Azure Resource Manager
- 4+ years of experience with container platforms and orchestration technologies, such as Docker and Kubernetes
- Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
- 4+ years of experience supporting DevSecOps practices, including security scanning and policy enforcement in deployment pipelines
- 4+ years of experience with scripting languages, such as Python, Bash, or PowerShell
- 4+ years of experience with monitoring and observability tools, such as Splunk, Datadog, Prometheus, or Grafana
- 4+ years of experience working in consulting, professional services, or client-facing delivery environments
- Experience supporting Agile delivery models and cross-functional product or engineering teams
- Experience with release management, environment strategy, and production support processes
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
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