Junior Software Engineer (Entry level - Remote US)
About The Position
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.
Requirements
- 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- ICF is an equal opportunity employer.
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
