Full Stack Developer – Remote / Hybrid

ICF is growing and we’re currently seeking a Mid-Level Full Stack Developer to support the exploration and testing of new innovative technologies and software architectures that have an impact on public health. As a member of the ICF’s Health Data Insights Team, you will support the CDC research in data science.

You will collaborate with solution architects and data scientists to provide system development support for user interfaces, application, and data storage solution development while adding surge support for Artificial Intelligence functionality. We are looking for someone with a very large curiosity in learning new technologies/languages and a self-directed learner who is resourceful and will find solutions to difficult problems.

This role can be fully remote or can work in hybrid work setting in one of our many office locations if preferred.

Key Responsibilities:

• Operate in Agile/Scrum environment for fulfilling user-stories and delivering within sprints
• Participate in the design and creation of scalable software
• Present and justify design with team and stakeholders
• Write clean, functional code on the front- and back-end
• Implement CI/CD pipelines for automated testing and application deployment
• Implement testing frameworks such as Jest, Selenium
• Ensure the best possible performance, quality, and responsiveness of code and applications
• Help maintain code quality and organization
• Document features based on project specifications
• Provide application support on an as-needed basis

What we need you to have (Required Qualifications):

• 5+ years of full stack development experience in:
  • Full stack web development experience in MERN (MongoDB, Express, React, and Node.js)
  • .NET Framework for API and back-end services
  • SQL and No-SQL databases (Graph, Vector, Document, etc.)
  • Docker container configuration and deployment
  • Experience with Git/version control
  • Experience with command-line / Linux
• The ability to obtain and maintain a Public Trust

What we like you to have (Preferred Qualifications):

• Understanding of basic Machine Learning algorithms and their use cases
• Understanding of Neural Networks and their use cases
• Experience or familiarity with Palantir technologies and web3 architecture
• Experience with Python
• Experience with building GenAI-powered processes (more than just using the ChatGPT UI)
• Experience with Data Engineering/Processing in Cloud Services (Azure, AWS, GCP)
• Experience with Spark/Databricks

Working at ICF

ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world’s toughest challenges by building an inclusive workplace that allows everyone to thrive. We are an equal opportunity employer, committed to hiring regardless of any protected characteristic, such as race, ethnicity, national origin, color, sex, gender identity/expression, sexual orientation, religion, age, disability status, or military/veteran status. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO & AA policy.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. Read more here: Requesting an Accommodation for the ICF interview process.

Read more about workplace discrimination rights, the Pay Transparency Statement, or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act.

 

Pay Range – There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$84,533.00 – $143,706.00

Nationwide Remote Office (US99)