DevOps Engineer - Delivery Management Engineer 2

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.

Work you'll do

As a Delivery Management Engineer II on the Deloitte AI & Engineering team, you will be responsible for…

• Deploy, configure, integrate, and maintain mission-critical toolchains.
• Collaborate with enterprise software engineering and development, security, and operations (DevSecOps) teams on multidisciplinary engineering efforts.
• Deliver robust, cloud-hosted engineering applications that meet project requirements.
• Automate infrastructure provisioning and application delivery through infrastructure as code and continuous integration/continuous delivery pipelines.
• Monitor, troubleshoot, and improve the reliability, security, and performance of engineering platforms.

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 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 Hybrid Cloud Infrastructure offering provides specialized engineering capabilities to design, implement, manage, and operate hybrid cloud environments, modernize networks and AI infrastructure from the core to the edge, and incubate new infrastructure and device services to help clients stay ahead with the latest technology advances.

Qualifications

Required:

• Bachelor’s degree
• 3+ years of experience in a cloud environment
• Experience with infrastructure as code (IaC), including Terraform or AWS CloudFormation, and continuous integration/continuous delivery (CI/CD) pipeline development using Jenkins, GitLab, or GitHub Actions
• Experience with application programming interface (API) integrations
• Active Secret security clearance required
• You must reside within a commutable distance of your assigned office with the ability to commute daily, if required, without the need for overnight accommodations.
• 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 Web Services (AWS)
• Experience with Python or Java
• Experience working on a Digital Engineering team

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $97,700 to $162,800.

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.