icf

Junior Software Engineer (Entry level - Remote US)

icf

Reston · Posted Sep 16

Software Engineering Onsite
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Location: Reston, VA

Role Overview We are hiring a high-aptitude Computer Science graduate 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.

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 internship-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 right candidate will usually look like this:

Smart, driven, and highly trainable

Serious about becoming an excellent engineer

Willing to put in extra effort to close skill gaps quickly

Comfortable being challenged and held to a high standard

Able to take feedback directly and improve fast

Strong problem solver who does not quit when things get hard

Accountable, reliable, and hungry to grow

Required Qualifications:

Bachelor’s degree in Computer Science or a closely related technical field

1 year of relevant experience through internships, research, academic projects, or professional software development work.

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

No significant professional experience required

Preferred Qualifications:

Exposure to Python

Exposure to web development concepts

Exposure to backend development, APIs, or databases

Exposure to Linux, scripting, Git, or command-line tooling

Exposure to cloud or DevOps concepts

Exposure to Docker, Kubernetes, CI/CD, Azure, or infrastructure automation

Exposure to Django or similar web frameworks

Exposure to SQL and data modeling

What the Candidate Will Learn This role is intended to grow into a strong engineering foundation across:

Python and Django application development

Full stack software engineering

API design and backend architecture

Relational databases and data modeling

Azure cloud engineering

Containers and Kubernetes

Jenkins and CI/CD automation

Helm-based deployment patterns

Data fabric architecture

Operational troubleshooting and engineering discipline

Modern software delivery practices

Consulting Mindset

Bot and Third-Party Applications

Please note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration.  Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact [email protected] for assistance.

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 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 [email protected] 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 rights or our benefit offerings which are included in the Transparency in (Benefits) Cover

What they are looking for

Python Django Vue.js Azure Kubernetes

Details

Work type
Onsite
Remote eligible
No

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