Jr. Full Stack Engineer

Junior Full Stack Engineer

At Entertainment Partners and Central Casting, we are committed to creating an environment where every employee is seen, where ideas, thoughts and perspectives are shared openly, and where fearless innovation is encouraged. Weaving diversity, equity, and inclusion into who we are will drive our competitiveness by encouraging creativity and enhanced decision making.

We help to power Oscar-winning films, Emmy-winning shows, and Clio-winning commercials. Feel the satisfaction of doing work that directly impacts the most exciting industry in the world. EP is poised to redefine and evolve the back-office processes of the entertainment community with security at the core of what we do.

Are you looking for the next opportunity to revolutionize an industry? If so.…

Entertainment Partners (EP) is seeking a Junior Full Stack Engineer to join our technology organization as part of our commitment to growing the next generation of full stack engineering talent. This role is designed for early-career engineers who are strong in their fundamentals, eager to learn, and excited about building AI-powered products that serve the global entertainment industry. The Associate Software Engineer will work on defined feature tickets, grow their technical craft through hands-on delivery, paired code reviews, and mentorship from senior engineers, and contribute to a team that moves fast without sacrificing quality.

In addition to the following, other duties may be assigned to meet business needs.

Feature Development

• Implement well-scoped feature tickets across the frontend (React.js/Type Script) and backend (Python/FastAPI) stack.
• Build UI components using React.js following established design system and component library conventions.
• Write backend logic and REST API endpoints in Python/FastAPI under the guidance of senior engineers.
• Connect frontend and backend layers; understand how data flows through EP's application architecture.
• Follow existing code patterns, style guides, and engineering standards.
• Quality & Learning
• Write unit tests for your code; learn integration testing practices with support from senior teammates.
• Participate in code reviews — both receiving feedback on your own PRs and reviewing others' work as skill grows.
• Ask questions early and often; communicate blockers promptly to your Engineering Manager or tech lead.
• Actively participate in sprint ceremonies: standups, planning, retrospectives, and demos.
• Use EP's AI coding tools (Tabnine, Claude Code) to accelerate development and learn engineering patterns.

Growth & Contribution

• Take ownership of your personal development plan in partnership with your Engineering Manager.
• Engage with EP's internal learning resources, architecture brown bags, and code pairing sessions.
• Contribute ideas for improving the team's tooling, documentation, or engineering processes.
• Build familiarity with EP's AI product portfolio and the LLM integration patterns used across the stack.

Minimum qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a related field — or equivalent bootcamp/self-taught experience with demonstrated projects.
• 0–3 years of professional or internship software engineering experience.
• Working knowledge of Python or JavaScript/Type Script; ability to read and contribute to code in both.
• Basic familiarity with React.js; understanding of components, props, and state.
• Understanding of REST APIs — what they are, how to consume them, and how to think about designing them.
• Experience with Git — branching, committing, opening PRs, and resolving conflicts.
• Ability to write basic SQL queries and understand relational database concepts.
• Strong curiosity, willingness to learn, and ability to receive and apply feedback constructively.

Preferred qualifications:

• Academic or personal project experience with FastAPI, Flask, or Django on the backend.
• Experience building UI projects with React.js (class projects, hackathons, or personal portfolio work).
• Exposure to any cloud platform (AWS, Azure, GCP) through coursework or personal projects.
• Familiarity with AI/ML concepts or experience…