Software Engineer Jobs in Glendale, CA

Design, implement, and maintain scalable platform services and data pipelines supporting media workflows. Build media processing, security, and content-management solutions on cloud infrastructure. Collaborate with cross-functional teams, provide production support, and mentor junior engineers to improve reliability, performance, and automation of content supply-chain systems.

Design and implement a reusable, feature-rich media playback library for Apple platforms. Collaborate across product, design, and backend teams to define APIs, research playback solutions, estimate projects, write maintainable code, build and run tests/CI, troubleshoot cross-platform issues, and specialize in Apple technologies (UIKit, SwiftUI, AVKit, StoreKit) to deliver consistent streaming experiences.

As a Senior Software Engineer, design and develop automation solutions leveraging AI, integrate AI-driven components, and maintain backend systems while collaborating cross-functionally to improve workflows.

Lead the design and operation of Moon's core platform: identity, tenancy, entitlements, payments/financing APIs, messaging and communication services, and database architecture. Ensure reliability, enforce contract-first APIs and engineering standards, mentor engineers, and encode business invariants into CI.

Designs and builds AI-driven distributed systems for streaming observability and reliability. Develops agentic systems, machine learning models, real-time telemetry pipelines, scalable APIs, anomaly detection, predictive insights, and automated root cause analysis. Partners cross-functionally to integrate AI into incident response and operational workflows, contributes to architecture and code reviews, establishes engineering standards, owns production components, and mentors junior engineers.

Design and build AI-powered automation systems, backend services, intelligent agents, and workflow integrations. Develop Python APIs, integrate AI models with internal and external services, create scalable microservices, and support production deployments. Collaborate with technical and operational teams to identify automation opportunities, write reliable tests, participate in architecture decisions, and monitor system performance. The role involves prototyping and productionizing solutions using LLMs, NLP, OCR, RPA, and workflow orchestration technologies.

As a Senior Software Engineer, you will enhance platform capabilities focusing on computer vision and machine learning workflows, develop scalable systems and data pipelines, ensure platform stability, and mentor junior engineers.

Lead backend development for ticketing products: design, build, test, deploy, monitor Java-based services on AWS. Drive code quality, mentor engineers, own projects end-to-end, collaborate with product and TPMs, and improve performance and scalability.

Design and build AI-driven observability systems and autonomous agentic pipelines that turn telemetry and logs into automated detection, root-cause analysis, and proactive insights. Ship production-grade front-end and back-end services, optimize AI model usage/cost, modernize unfamiliar codebases, and mentor teams while ensuring scalability, reliability, and security.

Design, develop, and deploy scalable data and application integration solutions (MuleSoft) and AI/ML-driven licensing workflows. Own full SDLC, collaborate with product and data science teams, build LLM-based applications (prompt engineering, fine-tuning), implement RAG and vector DB solutions, optimize complex SQL, mentor engineers, and drive cloud-native, containerized deployments with CI/CD.

The Senior Software Engineer will design and develop tooling infrastructure for CI/CD processes, maintain critical systems, and collaborate with development teams.

As a Senior Software Engineer, you will design, build, and deploy scalable backend solutions while mentoring junior engineers and collaborating with cross-functional teams to enhance Disney's content delivery platform.

The Senior Cloud Platform Engineer focuses on designing and supporting automation tools in AWS, ensuring security compliance, and advising development teams on best practices.

Lead quality engineering across streaming, data, and advertising systems, driving test automation strategy, architecture, and mentorship while ensuring product quality and operational efficiency.

Lead and develop quality engineering teams, define strategic roadmaps, oversee automation architecture, and ensure quality governance across products.

Design, implement, and maintain multi-layered distributed systems and shared service platforms to support content delivery at scale. Collaborate on troubleshooting, APIs, service performance, scalability, and event planning. Enforce development best practices, review code, mentor team members, and research new technologies to advance Disney's media supply chain and content delivery products.