Software Engineer

Job Summary Our media and entertainment client is seeking a Software Engineer to support the development of intelligent, scalable systems within the Studio Digital Supply Chain. This role is focused on hands‑on implementation of media workflows that blend deterministic orchestration with AI/ML-driven, agentic behaviors. The Software Engineer will contribute to the design and delivery of cloud‑native, event‑driven services that enable dynamic decision‑making, automation, and human‑in‑the‑loop processes. Ideal candidates have strong experience with distributed systems and cloud platforms, and are comfortable implementing systems that integrate machine learning, large language models, or decision engines into real‑world pipelines. Core Responsibilities Build features that support agentic behavior using AI/ML tools and APIs Integrate tools such as large language models (LLMs), decision engines, and semantic search Implement deterministic workflows using state machines or rules engines Build hybrid models that support both structured and adaptive logic Develop modular components within distributed systems Focus on reliability, observability, and performance at scale Contribute to platform infrastructure supporting media and content workflows Build services using Kafka, EventBridge, or SNS/SQS for asynchronous communication Ensure systems are resilient, loosely coupled, and scalable Deliver clean, well‑tested APIs and services in Java, Python, or Node.js Follow cloud‑native design principles with containerization and CI/CD pipelines Maintain clear service boundaries and operational consistency Work closely with product, engineering, and ML teams to implement solutions Translate defined requirements into production‑ready code Participate in sprint planning, standups, and delivery checkpoints Required Skills/Experience (Must‑Haves) 3+ years of experience building distributed, cloud‑native backend systems Experience integrating AI/ML tools, large language models (LLMs), or decision engines into applications Strong understanding of AWS services and event‑driven architecture Proficiency in Java or Node.js Python experience Familiarity with Docker, Kubernetes, and modern CI/CD workflows Strong communication skills with an emphasis on high‑quality, maintainable code Preferred Skills/Experience (Nice‑to‑Haves) Experience in Media or Entertainment, especially studio or post‑production environments Background in multi‑tenant platforms or shared infrastructure Hands‑on experience with machine‑learning systems, pipelines, or model integration in production environments Familiarity with Agile and DevOps methodologies Experience with Kafka, EventBridge, or SNS/SQS Experience implementing deterministic workflows using state machines or rules engines Experience contributing to platform infrastructure supporting media and content workflows Key Competencies & Behaviors Strong communication skills Focus on delivering high‑quality, maintainable code Ability to work closely with product, engineering, and ML teams Ability to translate defined requirements into production‑ready code Focus on reliability, observability, and performance at scale Ability to build resilient, loosely coupled, and scalable systems Comfortable working within Agile and DevOps methodologies Work Environment Location: onsite 4 days a week, Glendale, CA Not open to non‑local candidates. Compensation & Benefits Pay Range: The approximate pay range for this position is between $70 and $86. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums. Benefits: Medical, Dental, & Vision insurance plans Employee‑Owned Profit Sharing (ESOP) 401K offered #J-18808-Ljbffr KellyMitchell Group