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 - Software Engineer III on the AI & Engineering team, you will be responsible for: • Support the implementation of Azure API Management in a hybrid multi-cloud environment • Lead client discussions on the design of technical environments and integration architecture • Stand up data integrations across cloud and enterprise platforms • Define and implement enterprise integration patterns using Microsoft Azure integration services • Mentor and support junior team members 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 or equivalent experience and 8+ years of Information Technology experience, including 5+ years in enterprise integration architecture and 5+ years of experience with Azure Cloud • Hands-on experience with Microsoft integration services, including Azure API Management, Service Bus, Event Grid, Logic Apps, and Functions • Experience designing and implementing hybrid and multi-cloud integration architectures • Ability to obtain Microsoft Azure Solutions Architect Expert (AZ-305) and Microsoft DevOps Engineer Expert (AZ-400) certifications • Must be able to obtain and maintain the required clearance for this role • Ability to travel 10%, 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 Azure networking and security services supporting application programming interface (API) and integration architectures • Experience building continuous integration and continuous deployment pipelines for cloud integration solutions • Experience supporting government or public sector technology environments

Requirements

Must-haves

Work you'll do
As a Project - Software Engineer III on the AI & Engineering team, you will be responsible for:
Support the implementation of Azure API Management in a hybrid multi-cloud environment
Lead client discussions on the design of technical environments and integration architecture
Stand up data integrations across cloud and enterprise platforms
Define and implement enterprise integration patterns using Microsoft Azure integration services
Mentor and support junior team members
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
Bachelor’s degree or equivalent experience and 8+ years of Information Technology experience, including 5+ years in enterprise integration architecture and 5+ years of experience with Azure Cloud
Hands-on experience with Microsoft integration services, including Azure API Management, Service Bus, Event Grid, Logic Apps, and Functions
Experience designing and implementing hybrid and multi-cloud integration architectures
Ability to obtain Microsoft Azure Solutions Architect Expert (AZ-305) and Microsoft DevOps Engineer Expert (AZ-400) certifications

Nice-to-haves

Experience with Azure networking and security services supporting application programming interface (API) and integration architectures
Experience building continuous integration and continuous deployment pipelines for cloud integration solutions
Experience supporting government or public sector technology environments

Application prep

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

Keywords to mirror

aiazureapi

Platform: avature
Effort: medium