Our Deloitte AI & Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.
As a DevOps Engineer, you will help clients design, automate, and secure modern software delivery environments. You will build and maintain tools that scan source code, application dependencies, infrastructure configurations, and container images, while integrating application security controls into continuous integration and continuous delivery pipelines. You will work across development, cloud, platform, and cybersecurity teams to improve the speed, quality, and security of application deployments. The role requires strong hands-on experience with AWS, Python, Bash, CI/CD pipeline engineering, and GitHub-based development workflows. Work you'll do As a PROJECT - Engineering Delivery Manager II on the Government & Public Services Engineering as a Service team, you will be responsible for: Design, build, and maintain secure continuous integration and continuous delivery pipelines for application and infrastructure delivery across cloud and hybrid environments. Develop Python and Bash automation to support deployment orchestration, environment validation, security testing, remediation workflows, and operational reporting. Apply cloud security practices across identity and access management, network security, encryption, logging, monitoring, configuration management, and vulnerability remediation. Configure and administer GitHub repositories, branching strategies, pull request workflows, automated actions, and containerized delivery processes using Docker and Kubernetes. Integrate application security tools into the software development lifecycle, support remediation of security findings, and troubleshoot pipeline, deployment, security control, and environment issues. A successful candidate would possess these skills: 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 mentor and provide clear guidance to others The team Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. Our Engineering as a Service offering provides end-to-end design, implementation, and technology operations, leveraging our core engineering expertise. We help transform engineering teams, modernize technology, & deliver complex programs with a product engineering mindset. Our flexible delivery models- traditional teams, pools, or pods, are tailored for each client's needs, offering engineering-led Advise, Implement, & Operate capabilities to accelerate innovation. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals. Qualifications Required: Bachelor's degree in computer science, information technology, cybersecurity, or computer engineering, or equivalent professional experience 8+ years of experience implementing DevSecOps practices across cloud or hybrid environments and 8+ years of experience in cloud engineering, security engineering, or software engineering 8+ years of experience building or administering continuous integration and continuous delivery pipelines using GitLab CI, SonarQube, GitHub Actions, or Jenkins 4+ years of experience with Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP), and infrastructure as code using Terraform, AWS CloudFormation, or Ansible 4+ years of experience integrating application security testing, dependency scanning, secrets scanning, or container security controls into continuous integration and continuous delivery pipelines, and experience developing automation using Python and Bash Active Secret security clearance required Ability to travel 0-25%, 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. Preferred: Experience with Amazon Elastic Container Service (Amazon ECS), Amazon Elastic Kubernetes Service (Amazon EKS), Docker, and Kubernetes Experience with vulnerability management, cloud security posture management, or security orchestration tools Experience applying National Institute of Standards and Technology (NIST), Federal Risk and Authorization Management Program (FedRAMP), or Zero Trust frameworks in public sector environments Relevant certifications such as AWS Certified Developer, AWS Certified Security, AWS Certified Solutions Architect, CompTIA Security+, Certified Information Systems Security Professional (CISSP), Certified Cloud Security Professional (CCSP), HashiCorp Terraform Associate, or Certified Kubernetes Security Specialist 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.