Our AI & Engineering team helps transform technology platforms, drive innovation, and deliver meaningful impact for clients. In this role, you will work with professionals who are reimagining and reengineering business-critical operations and processes. Your contributions can help clients improve financial performance, launch new digital ventures, and fuel growth through innovation. Work you'll do As a Software Engineer II on the Engineering as a Service team, you will be responsible for:
- Assist development teams in delivering technical solutions using software development life cycle methodologies, including Scrum and Agile
- Design, develop, and enhance software systems and custom components using modern development tools and frameworks
- Analyze user requirements, system flows, data usage, and performance standards to define technical designs and identify problem areas
- Integrate existing software into new or modified systems and develop and execute test procedures for software components
- Plan, track, and manage deliverables across short-term sprints and long-term software deployments
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.
Qualifications
Required:
- Bachelor’s degree, preferably in Computer Science, Engineering, or Management Information Systems
- 2+ years of full-stack software development experience
- 2+ years of experience with Modern Full Stack languages (Java, Python, React, Angular, etc.)
- Experience orchestrating in cloud and/or serverless environments
- Experience with Relational and Non-relational DBs (Postgres, SQL, MongoDB, DynamoDB, etc.)
- Ability to travel 15%, 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 Gen AI, Agentic AI, ML/NLP environments and tools
- Major Cloud provider certifications (AWS, Azure, GCP, OCI)
- AI related certifications (Anthropic, Github, etc.)
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 $102,500 to $170,900. 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.