Deloitte

location-iconDeloitte

Senior Full Stack Developer

location-iconColorado Springs, CO, 80903

jobtype-iconPart Time, Full Time

estimated-salary-icon$106,427 per year

dateposted-iconPosted 8 days ago

Apply Now

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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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 are proficient in multiple programming languages, databases, and web technologies, enabling them to build and maintain the entire software stack of a web application.

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The term "best" is subjective and depends on various factors such as specific skills, experience, and cultural fit. However, a highly skilled Full Stack Developer is one who is proficient in both front-end and back-end technologies, has a strong problem-solving ability, excellent communication skills, and a passion for continuous learning.

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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 and a data analyst are two distinct roles with different focuses. A full stack developer works on both the front-end (user interface) and back-end (server-side) of software applications, while a data analyst focuses on interpreting and analyzing data to help businesses make informed decisions. The choice between these roles depends on individual interests and career goals.

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.

As a Full Stack Developer, your primary focus is on building both the front-end (user interface) and back-end (server, databases, and application logic) of web applications. While Data Science involves analyzing and interpreting complex data to make strategic decisions, it requires a strong background in statistics, mathematics, and programming. Both are valuable skills in the tech industry, but they serve different purposes. A Full Stack Developer's role is more about building the application, while a Data Scientist's role is more about analyzing and interpreting data to make informed decisions.

The salary for a Full Stack Developer can vary greatly depending on factors such as location, experience, and the specific industry. However, on average, in the United States, the annual salary can range from $70,000 to $120,000. In other countries, the salary can be lower or higher. For more accurate information, it's recommended to research local job market trends and salary data.

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.