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Software Engineer
Application Development & Engineering
Glendale, California, 92101
Contract
Ref.: 141829
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
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
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
- 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
- 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
- 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
- Location: onsite 4 days a week Glendale, CA
- Not open to non-local candidates
- 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.
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy