Senior Full Stack Software Engineer

Whip Media is transforming how the world's largest media and entertainment companies manage, distribute, and monetize content across the global streaming supply chain. Our flagship product, Helix, is an AI-native system designed to radically optimize content operations — enabling data-driven decisions that maximize revenue, streamline distribution, and scale profitable strategies. Trusted by top studios, networks, and streaming platforms, we sit at the intersection of media and technology, redefining the business of content.

Helix is our next-generation platform, built with long-term scale, efficiency, and operational excellence in mind, with Go as its primary codebase. Alongside it, we continue to run and evolve the established Java and Spring services that serve customers today, built on PostgreSQL, Python, and Amazon Web Services throughout. Our platform helps leading media and entertainment companies operate more efficiently, with greater visibility and control over digital distribution.

As a Senior Full Stack Software Engineer, you'll work on a small development team designing, building, and maintaining mission-critical web-based software for major film studios, TV broadcasters, and cable operators in a high-energy environment. You'll work across both worlds: building new services in Go on Helix, and supporting and migrating what's already in production in Java and Spring. You'll also build the front-end features that go with your APIs — data-dense interfaces where the challenge is making large, complex result sets fast and understandable.

We're also actively building AI into how we work and what we ship — agent-assisted development and LLM-powered features on top of our platform data. We're looking for someone who already works this way and can help set the bar for the rest of the team.

• Design and write new APIs and data processing code in Java or Python
• Build the front-end features that go with them — data-dense interfaces where the challenge is making large, complex result sets fast and understandable
• Create new data models to handle our ever-increasing data volume
• Devise algorithms to handle data synchronization across distributed systems
• Design and implement ETL processes that integrate with a variety of customer and third-party data sources
• Own features end to end: requirements, design, implementation, tests, deployment, and support
• Use AI tooling as a core part of your development workflow, and help establish what good practice looks like as agents write a meaningful share of the code
• Write technical requirements and design documents
• Work closely with a cross-functional team on the development of our new platforms and internal tools
• Mentor other engineers through design and delivery

• Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related field
• 5+ years of experience with software design and development in Java
• Experience with Spring and core Spring components, especially Spring Boot, Spring Security, Spring Data, and Spring Data REST
• Front-end experience with a modern component framework (Vue, React, or similar), including state management and async data loading
• Experience with data modeling in SQL, ideally PostgreSQL, and query tuning at scale
• Experience with AWS APIs and services (S3, Lambda, SNS, SQS)
• Experience with a scripting language, ideally Python
• Experience with event-driven architecture and messaging (Kafka, Kinesis, SNS/SQS)
• Hands-on experience developing with AI tooling — coding agents or assistants, and/or building features against LLM APIs — with a clear point of view on where it helps and where it doesn't
• Experience with web services (REST)
• Comfort working in a fast-moving environment
• Experience mentoring other engineers

• Production experience with Golang
• Experience with workflow orchestration, particularly Temporal — durable long-running workflows, activities, retries, idempotency, versioning, and testing. Airflow, Step Functions, or Cadence experience is relevant here as well
• Experience building AI-powered product features: retrieval/RAG, agents and tool use, evals, and managing cost and latency in…