Description
This is an entry-level position and is anticipated to begin Summer 2026. The position is fully-remote from any U.S. location.
We are hiring a high-aptitude Associate Software Engineer who wants to become a strong full stack software engineer and is willing to put in the work to get there. This role is designed for someone early in their career, but the performance bar is not low. We will invest heavily in training, mentorship, and real engineering experience, and in return we want someone who learns fast, takes ownership, and grinds when the work demands it. This opportunity comes with serious growth potential, where you are the driver of your own success.
This person will be working primarily in a Python and Django stack, with meaningful exposure to frontend development with Vue.js, DevSecOps, cloud engineering in Azure, Kubernetes, Jenkins, Helm and modern engineering practices. Depending on business needs, the role may also expand into data engineering in Azure Databricks and adjacent platform work. This position involves hands-on development across the full stack of a premier enterprise solution, accelerating the experience needed to grow from an engineer to an architect.
What You'll Do
Build real application features in a Python/Django/Vue environment
Develop across the stack, including backend services, APIs, databases, and frontend components
Work on cloud-native deployment patterns in Azure and Kubernetes
Innovate with agentic AI development
Contribute to a premier project, building an industry leading enterprise data fabric platform built on Azure Databricks and related platform technologies
Support CI/CD pipelines using Jenkins and related tooling
Help manage and improve containerized deployments with Helm and Kubernetes
Troubleshoot production and non-production issues across application, infrastructure, and pipeline layers
Write clean, maintainable code and improve it through review and feedback
Create tests, debug failures, and help raise engineering quality across the stack
Produce solid technical documentation, implementation notes, and operational runbooks
Learn new tools, frameworks, and patterns quickly and apply them effectively
Step into adjacent areas such as platform engineering, automation, or data engineering when needed
What We're Looking For
We care most about raw aptitude, work ethic, coachability, and the willingness to push yourself. This is not a passive style role for someone who just wants exposure. It is for someone who wants to become a highly competent engineer, working on a premier project and is ready to earn that through consistent effort.
The ideal candidate typically demonstrates:
A strong aptitude for learning and a clear commitment to developing as a software engineer through continuous skill growth
The ability to perform effectively in a feedback-driven environment, using constructive input to improve performance and results
Analytical problem-solving skills, persistence in addressing complex challenges, and sound judgment
A track record of being reliable, accountable, and growth-oriented, with a proactive approach to professional development
Minimum Qualifications
By start date, a completed Bachelor's degree in Computer Science or a closely related technical field
U.S. citizenship required, and must be eligible to obtain and maintain a Public Trust/security clearance, as required by the federal government for this role
Preferred Qualifications
Strong academic foundation in programming, data structures, algorithms, and software development fundamentals
Experience coding in at least one language through coursework, projects, research, or internships
Comfortable learning new technologies quickly
Able to communicate clearly and work through technical problems methodically
Familiarity with Python, SQL, and data modeling, along with experience using Django or similar web frameworks
Exposure to web and backend development concepts, including APIs, databases, and command-line tools (e.g., Linux, Git, scripting)
Awareness of cloud and DevOps fundamentals, such as Docker, Kubernetes, CI/CD, Azure, or infrastructure automation
What the Candidate Will Learn
This role is intended to grow into a strong engineering foundation across:
Full-stack application development using Python and Django, including API design, backend architecture, and relational databases/data modeling
Cloud-native engineering on Azure, with hands-on experience in containers, Kubernetes, and Helm-based deployment patterns
Modern software delivery and DevOps practices, including CI/CD automation (e.g., Jenkins), operational troubleshooting, and engineering discipline
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 a workplace that allows everyone to thrive. We are an equal opportunity employer. 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 (https://www.icf.com/legal/equal-employment-opportunity) policy.
We will consider for employment qualified applicants with arrest and conviction records.
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 about? workplace?discrimination?righ t s or our benefit offerings which are included in the? Transparency in (Benefits) Coverage Act.
Candidate AI Usage Policy
At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.?
However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at? candidateaccommodation@icf.com . We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed. ?
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:
$61,232.00 - $104,094.00
Nationwide Remote Office (US99)
