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 [redacted] for assistance.

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:
$67,355.00 - $114,503.00

Nationwide Remote Office (US99)