Deloitte

location-iconDeloitte

Senior Full Stack Developer

location-iconApache Junction, AZ, 85290

jobtype-iconPart Time, Full Time

estimated-salary-icon$106,427 per year

dateposted-iconPosted 6 days ago

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location-iconActively Hiring

About the Role

Join Deloitte's Government and Public Services (GPS) practice as an AI Software Engineer, driving transformative technology solutions for federal, state, and local government clients. Collaborate with cross-functional teams to develop innovative AI-powered products that redefine public sector capabilities. This role involves building scalable software solutions, leveraging cutting-edge technologies like Generative AI, LLMs, and advanced data engineering frameworks.

Work You’ll Do

  • Collaborate with full-stack engineers to design and develop AI-driven applications for public sector clients.
  • Implement solutions integrating LLMs (Large Language Models), Generative AI, and text vectorization/embedding.
  • Design and engineer application software using frameworks like Spring, JQuery, and web/application servers (Apache, Tomcat, JBoss, WebLogic).
  • Contribute to sprints, achieving goals alongside a team of world-class backend engineers.
  • Deliver innovative solutions aligned with Deloitte’s strategic vision for the public sector.

The Team

Deloitte’s GPS AI & Data Engineering team focuses on developing advanced analytics products that empower government and public sector organizations to anticipate disruptions and deliver impactful outcomes. From data collection and ETL to deploying machine learning models and AI-driven insights, our team brings expertise and fresh perspectives to mission-critical challenges.

Required Qualifications

  • Bachelor’s degree in a relevant field.
  • 5+ years of hands-on experience in front-end React development.
  • 5+ years of demonstrated backend expertise using Postgres.
  • Active TS/SCI Clearance.
  • Must be located or willing to relocate to the Greater Tampa, FL area.
  • Ability to work onsite in Tampa, FL.
  • Legal authorization to work in the U.S. without sponsorship.

Preferred Qualifications

  • Experience with tools and technologies like:
    • Docker, Git, Graph DB, Neo4j, Memgraph, OpenSearch, ElasticSearch, and MongoDB.
    • Python and cyber-based coding frameworks.
    • Datastacks and other scalable database solutions.
  • Proven ability to implement wireframes with flexible, well-structured code.
  • Creativity and eagerness to explore and learn new technologies.
  • Strong knowledge of coding best practices and ability to mentor peers through code reviews.
  • Experience collaborating with distributed teams.
  • Familiarity with Git or similar version control tools.

Compensation

Compensation will be competitive and tailored to the candidate's experience, qualifications, and geographic considerations.

Additional Information

For applicants requiring accommodations, visit: Assistance for Disabled Applicants.

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FAQ's

Find the answers for the most frequently asked questions below

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To become a Full Stack Developer, follow these steps: 1. Learn both front-end (HTML, CSS, JavaScript, React, Angular, Vue.js) and back-end (Node.js, Python, Ruby, PHP, .NET) technologies. 2. Gain experience with databases (SQL, MongoDB, PostgreSQL) and understand server architecture. 3. Build projects to showcase your skills and contribute to open-source projects to gain real-world experience.

A Full Stack Developer is a software engineer who can work on both the front-end (user interface) and back-end (server-side) of a web application. They have a broad skill set, including knowledge of databases, servers, client-side languages, and server-side languages.

A Full-Stack Developer is responsible for designing, developing, and maintaining both the front-end (user interface) and back-end (server-side) of a web application. They work on the full technology stack, from databases to servers, and client-side scripts.

A Full Stack Developer is responsible for designing, developing, and maintaining both the front-end (user interface) and back-end (server-side) of web applications. They work on the full technology stack, from databases to servers, and client-side scripts.

A Full Stack Developer and a Data Scientist are two distinct roles with different focuses. A Full Stack Developer is responsible for designing, building, and maintaining both the front-end (user interface) and back-end (server, databases) of a web application. A Data Scientist, on the other hand, uses statistical and machine learning techniques to analyze and interpret complex data to make predictions or inform business decisions. The "better" choice depends on individual interests, skills, and career goals.

Becoming a Full Stack Developer offers versatility and a broad skill set. It allows you to work on both the front-end (user interface) and back-end (server-side) of web applications, making you a valuable asset in a variety of tech projects. This comprehensive understanding of the entire development process can lead to increased job opportunities and career growth.

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A Full Stack Developer is a software engineer who can work on both the front-end (user interface) and back-end (server-side) of a web application. They have a broad skill set, including knowledge of databases, servers, client-side languages, and server-side languages.

A Full Stack Developer should learn a combination of front-end technologies (HTML, CSS, JavaScript, React, Angular, Vue.js) and back-end technologies (Node.js, Python, Ruby on Rails, .NET, Java), as well as databases (SQL, MongoDB, PostgreSQL) and DevOps tools (Docker, Kubernetes, AWS, Git). Familiarity with software design patterns and Agile methodologies is also beneficial.