Delivery Module Lead

Mphasis; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Mphasis in Menlo Park, CA is seeking a Senior Backend Engineer to join our Middle Office Core Platform team. You will design and build scalable backend components, microservices, and cloud-native solutions to deliver high-performance business outcomes.

The ideal candidate has 7+ years of software engineering experience, strong Java/Spring or Go skills, and hands-on experience with containers, Kubernetes, and cloud platforms such as AWS or Azure. Collaborative, Agile mindset required.

Qualifications

• Bachelor’s degree in computer science, engineering or related STEM field.
• 7+ years of professional software engineering experience.
• Experience with microservices and cloud-native development.
• Proficiency in Java (Spring) or Go.
• Scripting in Python is preferred.
• Experience with containers and Kubernetes.
• Familiarity with AWS or Azure services.

Responsibilities

• Participate in technical discussions and architecture design.
• Collaborate with cross-functional teams in an agile environment.
• Design and develop scalable backend components and microservices.
• Ensure code quality through testing and automation.
• Define interfaces between system components.
• Contribute to build, release, and deployment pipelines.
• Continuously improve system performance, scalability and reliability.

Skills

Microservices

Java / Spring

Go

Python scripting

Docker

Kubernetes

Cloud platforms (AWS/Azure)

Databases (Oracle/MySQL/PostgreSQL/Sy)

Object-Oriented Design

Software design patterns

Education

Bachelor's degree in CS/Engineering

Tools

Spring Framework

Docker

Kubernetes

AWS / Azure

Service Mesh

Databases (Oracle/MySQL/PostgreSQL/Sybase)

Job description

Job Description: Senior Backend Engineer
Location: Menlo Park, California, USA
Organization: Middle Office Core Platform
Role Overview
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.
Key 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

Basic Qualifications
Bachelor’s degree in computer science, Engineering, or related STEM field
7+ years of professional software engineering experience
Technical Qualifications
Strong knowledge of Object-Oriented Analysis and Design, Software Design Patterns and coding principlesHands‑on experience in microservices architecture and development, Databases such as Oracle MySQL, Sybase, PostgreSQL etc.
7 years or more experience in Java(Spring Framework) and or Go
Preferred experience in Python scripting
Preferred experience in ServiceMesh, Containers and Kubernetes technologies
Preferred 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
Experience in assessing application performance and optimizing/improving it through design and best coding practices
Be an expert in core data structures as well as algorithms and can implement them using language of choice
Preferred understanding and experience in one of the public clouds (AWS, Azure) native services
Experience in agile software development
Preferred Skills

• Python scripting experience
• Containerization and orchestration (Docker, Kubernetes)
• Service Mesh technologies
• Cloud platforms such as AWS or Azure