Apply now: Technical Lead, location is Hybrid (Burbank, CA). The start date is August 18, 2025 or two weeks from offer for this 1-year contract position with potential extension or conversion.
Job Title: Technical Lead
Location-Type: Hybrid Burbank, CA (Tues–Thurs onsite, Remote Monday/Friday)
Start Date Is: August 18, 2025 or two weeks from offer
Duration: 1 year (Contract, potential extension and conversion)
Compensation Range: $80.00/hr – $95.00/hr W2
Job Description:
Lead the design, development, and delivery of modular, scalable, AWS-native solutions, while mentoring engineering teams, driving DevOps best practices, and ensuring performance, reliability, and operational readiness.
Day-to-Day Responsibilities:
Architect & Evolve Solutions: Define and evolve architecture aligned to enterprise patterns, emphasizing modularity, composability, and scalability
Drive Engineering Excellence: Lead coding standards, code reviews, automated testing, CI/CD workflows, and infrastructure as code practices
Mentor and Empower Engineers: Act as a player-coach, mentoring team members in modern development and technical decision-making
Ensure Quality and Reliability: Enforce non-functional requirements, surface technical risks early, and embed monitoring and alerting into the SDLC
Partner Across Product and Platform: Collaborate with product owners, platform, and DevOps teams to align on shared services, environments, and deployment pipelines
Requirements:
Must-Haves:
8 years in full-stack development (Java/Spring Boot and Angular/React/Vue)
Strong experience building distributed systems with AWS-native architectures (Lambda, API Gateway/AppSync, Step Functions, EventBridge, DynamoDB/RDS, S3)
8 years of CI/CD fluency with GitHub Actions, AWS CodePipeline, or similar tools
Hands-on expertise in Infrastructure as Code (CloudFormation, CDK, Terraform)
Proven ability to lead teams through DevOps transformations and maintain stability across environments
Nice-to-Haves:
Experience in proof-of-concept development and rapid prototyping
Background in performance tuning and fault tolerance for large-scale systems
Familiarity with microservices and event-driven architecture patterns