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
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
- 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
- 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
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
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