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Senior Backend Engineer

United States, Glendale Employment contract 160000.00 - 180000.00 USD / Year · Job Posted May 29, 2026
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Job Description

The Senior Backend Engineer will design and build scalable, production-grade systems that power a next-generation platform. This role is highly technical and hands-on, focused on backend architecture, distributed systems, and API development, with a strong emphasis on integrating AI-driven capabilities. You will play a key role in shaping system design, driving engineering excellence, and delivering high-performance services at scale.

Job Responsibility

  • Design, develop, and maintain scalable backend services and APIs that power core business functionality
  • Build and operate event-driven, distributed systems supporting high-throughput data processing
  • Develop RESTful and/or GraphQL APIs for real-time data access and system integration
  • Integrate backend systems with AI/ML models, data pipelines, and workflow automation systems
  • Architect microservices and ensure systems are reliable, observable, and performant at scale
  • Implement and optimize data pipelines for ingestion, transformation, and delivery
  • Collaborate with cross-functional teams to translate system design into working solutions
  • Lead technical discussions, contribute to architecture decisions, and guide system design best practices
  • Mentor engineers through code reviews, knowledge sharing, and technical leadership
  • Identify and resolve performance bottlenecks, system issues, and technical debt

Requirements

  • 5–8+ years of backend or full-stack software engineering experience
  • Strong proficiency in Node.js, Python, Go, or similar backend languages
  • Experience building and maintaining RESTful and/or GraphQL APIs
  • Hands-on experience with event-driven architectures (e.g., Kafka, RabbitMQ, SQS)
  • Strong understanding of microservices design and distributed systems
  • Experience working with cloud platforms (e.g., AWS) and modern deployment practices
  • Strong knowledge of relational and NoSQL databases and data modeling
  • Demonstrated ability to build scalable, production-grade systems

Nice to have

  • Experience integrating AI or machine learning models into backend systems
  • Familiarity with data pipelines, workflow orchestration, or MLOps practices
  • Experience in high-growth or startup environments
  • Proven track record of mentoring engineers and elevating team standards
  • Strong understanding of system performance tuning and observability tools

What we offer

  • Comprehensive medical coverage with high employer contribution
  • Retirement savings plan
  • Generous paid time off policy
  • Additional employee perks including wellness initiatives and team-provided meals

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