Backend Software Engineer

Software Engineer (Backend / Distributed Systems)

Location: Foster City, CA (Onsite) Terms: Contract (3–6 Months) Pay Rate: $100 to 112 per hour (W2) Industry: Autonomous Mobility / Transportation Technology

Note: NOT OPEN on Corp-to-Corp (C2C)

Professional Summary:

We are seeking an experienced Software Engineer to help build and scale backend infrastructure supporting next-generation autonomous fleet operations. This role focuses on designing highly available distributed systems, modernizing cloud infrastructure, and developing scalable backend services used in production environments.

The ideal candidate has strong experience building large-scale backend platforms, cloud-native infrastructure, and resilient microservices architectures in AWS environments.

What You’ll Do:

• Modernize and migrate backend data infrastructure, including PostgreSQL to DynamoDB migrations
• Design and implement scalable distributed systems and sharded database architectures
• Build and maintain highly available cloud infrastructure using Terraform and AWS best practices
• Develop and optimize Kotlin- and Python-based microservices
• Support production services running in Kubernetes and Docker environments
• Improve system resiliency, scalability, and performance while eliminating single points of failure
• Contribute to long-term architecture strategy and technical roadmap planning
• Collaborate cross-functionally with engineering, product, and program management teams
• Troubleshoot and resolve complex production and infrastructure issues

Required Qualifications:

• BS/MS in Computer Science or related field, or equivalent practical experience
• 7+ years of experience building and shipping large-scale backend platforms/services
• Strong proficiency with:
• Kotlin
• Spring Boot
• REST API design
• Distributed systems architecture
• Database technologies and caching strategies
• Hands-on experience with:
• AWS (IAM, DynamoDB, PostgreSQL)
• Kubernetes
• Docker
• Terraform
• Experience designing highly available, multi-region cloud systems
• Strong debugging, troubleshooting, and performance optimization skills

Preferred Qualifications:

• Experience in autonomous vehicles, robotics, transportation, or logistics environments
• Familiarity with gRPC and Protocol Buffers (Protobuf)
• Experience using AI-assisted development tools such as Claude Code or similar LLM-based coding tools
• Knowledge of observability and monitoring frameworks such as OpenTelemetry and Grafana

Why Apply?

• Opportunity to work on cutting-edge autonomous mobility technology
• High-impact engineering role with large-scale distributed systems challenges
• Collaborative, fast-paced engineering environment