Jobs · Management · California

Delivery Project Lead

Mphasis · California, United States · 1 wk ago
ManagementContract

About the role

We are seeking a highly skilled Senior Backend Engineer to join our Middle Office Core Platform team in Menlo Park, CA. This role focuses on driving product development and modernization initiatives by building scalable, high-performance systems that deliver strong business outcomes. The ideal candidate is a hands-on engineer with deep expertise in backend technologies, microservices architecture, and cloud-native development.

Responsibilities

  • Participate in technical discussions and architecture design, presenting ideas through whiteboarding and design reviews
  • Collaborate closely with cross-functional teams in a fast-paced agile environment
  • Design and develop scalable backend components and microservices
  • Ensure code quality through best practices, unit testing, and automation
  • Define interfaces and communication between system components
  • Contribute to build, release, and deployment pipelines
  • Continuously improve system performance, scalability, and reliability

Requirements

  • Bachelor’s degree in computer science, Engineering, or related STEM field
  • 7+ years of professional software engineering experience

Skills

  • Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns, and coding principles
  • Hands-on experience in microservices architecture and development
  • Experience with databases such as Oracle, MySQL, Sybase, PostgreSQL, etc.
  • 7+ years of experience in Java (Spring Framework) and/or Go
  • Preferred experience in Python scripting
  • Preferred experience in Service Mesh, Containers, and Kubernetes technologies
  • Hands-on experience in building cloud-based software leveraging cloud and open-source technology and frameworks
  • Experience in building scalable and highly available distributed systems
  • Expertise in assessing application performance and optimizing/improving it through design and best coding practices
  • Expert in core data structures and algorithms, able to implement them in the language of choice
  • Preferred understanding and experience in one of the public clouds (AWS, Azure) native services
  • Experience in agile software development
  • Containerization and orchestration (Docker, Kubernetes)
  • Service Mesh technologies
  • Cloud platforms such as AWS or Azure

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