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About the Role

Build and scale modern DevOps capabilities that help clients accelerate delivery, improve reliability, and modernize engineering operations. As a Senior Consultant in Engineering Foundry, AI & E/EaaS - DevOps, you will support the design, implementation, and optimization of cloud, automation, and platform engineering solutions across complex environments. This role blends technical delivery, client collaboration, and operational improvement to help organizations strengthen software delivery performance and business outcomes.

Responsibilities

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

Requirements

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

Skills

DevOps
Platform Engineering
Site Reliability Engineering
Infrastructure Automation
Amazon Web Services
Microsoft Azure
Google Cloud Platform
Continuous Integration
Continuous Deployment
Infrastructure as Code
Terraform
AWS CloudFormation
Azure Resource Manager
Docker
Kubernetes
DevSecOps
Python
Bash
PowerShell
Splunk
Datadog
Prometheus
Grafana
Agile

Location

Atlanta, Georgia, United States
Austin, Texas, United States
Boston, Massachusetts, United States
Charlotte, North Carolina, United States
Chicago, Illinois, United States
Cincinnati, Ohio, United States
Cleveland, Ohio, United States
Columbus, Ohio, United States
Costa Mesa, California, United States
Dallas, Texas, United States
Denver, Colorado, United States
Detroit, Michigan, United States
Hartford, Connecticut, United States
Houston, Texas, United States
Indianapolis, Indiana, United States
Jacksonville, Florida, United States
Kansas City, Missouri, United States
Los Angeles, California, United States
McLean, Virginia, United States
Miami, Florida, United States
Minneapolis, Minnesota, United States
Morristown, New Jersey, United States
Nashville, Tennessee, United States
New York, New York, United States
Philadelphia, Pennsylvania, United States
Pittsburgh, Pennsylvania, United States
Raleigh, North Carolina, United States
Richmond, Virginia, United States
Rosslyn, Virginia, United States
Sacramento, California, United States
San Diego, California, United States
San Francisco, California, United States
San Jose, California, United States
Seattle, Washington, United States
St. Louis, Missouri, United States
Tampa, Florida, United States
Tempe, Arizona, United States

Work Type

Onsite

Experience Level

Senior
III

Education Level

Bachelor's degree in Computer Science, Engineering or a related discipline

Salary/Compensations

$116,200 to $229,100

Benefits

Discretionary annual incentive program
Professional development opportunities
On-the-job learning experiences
Formal development programs
Mentorship

About the Company

Deloitte is committed to providing reasonable accommodations for people with disabilities.
Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively.
Deloitte’s purpose is to make an impact that matters for our people, clients, and communities.
As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP.

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Qualified applicants with criminal histories, including arrest or conviction records, will be considered for employment in accordance with the requirements of applicable state and local laws, including the Los Angeles County Fair Chance Ordinance for Employers, City of Los Angeles’s Fair Chance Initiative for Hiring Ordinance, San Francisco Fair Chance Ordinance, and the California Fair Chance Act.
Deloitte considers candidates on merit and provides an equal opportunity to eligible applicants.