Job description

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 Project - Lead Software Engineer II on the AI & Engineering team, you will be responsible for: • Collaborating with data scientists, developers, domain specialists, and end users to operationalize analytic methodologies into deployed applications • Developing, deploying, and supporting solutions across on-premises and cloud environments • Contributing to software engineering activities that support project delivery objectives • Working in a collaborative delivery environment that uses Agile methods • Providing guidance and mentorship to junior engineers 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 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 • 3+ years of experience with continuous integration and continuous delivery tools, including Jenkins, GitHub, and Helm • 3+ years of experience with container technologies, including Docker and Kubernetes • Experience working on Agile software development teams • Active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance • Ability to work on-site in downtown Tampa, Florida up to 5 days per week • 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 Terraform, Puppet, or other infrastructure as code or configuration management tools • Experience scripting with PowerShell • Experience working in Linux environments • Experience working in high-side environments 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.

Requirements

Must-haves

Work you'll do
As a Project - Lead Software Engineer II on the AI & Engineering team, you will be responsible for:
Collaborating with data scientists, developers, domain specialists, and end users to operationalize analytic methodologies into deployed applications
Developing, deploying, and supporting solutions across on-premises and cloud environments
Contributing to software engineering activities that support project delivery objectives
Working in a collaborative delivery environment that uses Agile methods
Providing guidance and mentorship to junior engineers
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
Bachelor’s degree
3+ years of experience with continuous integration and continuous delivery tools, including Jenkins, GitHub, and Helm
3+ years of experience with container technologies, including Docker and Kubernetes

Nice-to-haves

Experience with Terraform, Puppet, or other infrastructure as code or configuration management tools
Experience scripting with PowerShell
Experience working in Linux environments
Experience working in high-side environments

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagiledockerkubernetes

Platform: avature
Effort: medium