Senior Golang Engineer
Job Overview
The company is a long-standing client in the US logistics technology space, running a high-volume operational platform built on cloud-native, event-driven foundations. They are currently modernizing their backend stack.
Role Location
100% Remote (United States)
Required Skills
- At least 5 years of production Go in a backend or distributed-systems role
- gRPC, including schema design and breaking-change management
- Kafka in production
- AWS, with hands-on experience using the AWS SDK for Go
- Comfortable owning service design end to end and influencing engineers outside your team
- Nice to have: Exposure to AI/ML integration in backend services, Background in logistics, freight, supply chain, or other high-throughput operational platforms
Role Description
You will sit on a senior backend team owning core Go services that move large volumes of operational data through gRPC APIs and Kafka pipelines on AWS. The work spans system-level design decisions, performance tuning under sustained load, and lifting standards across the wider engineering org through reviews, mentorship, and architectural input. This is a hands-on senior seat - you will be writing code, but you will also be a technical reference point for engineers outside your immediate team.
Responsibilities
- Design and ship production Go services that run reliably at scale
- Own the backend API surface - gRPC contracts, message schemas, versioning
- Build and tune Kafka-based event pipelines (producers, consumers, ordering, replay)
- Build on AWS with a serverless-first lean where it makes sense, using the AWS SDK for Go
- Review code, mentor mid-level engineers, and shape engineering standards
- Drive incident retrospectives and feed the lessons back into platform practice
Requirements
- At least 5 years of production Go in a backend or distributed-systems role
- gRPC, including schema design and breaking-change management
- Kafka in production
- AWS, with hands-on experience using the AWS SDK for Go
- Comfortable owning service design end to end and influencing engineers outside your team
- Nice to have: Exposure to AI/ML integration in backend services, Background in logistics, freight, supply chain, or other high-throughput operational platforms
Benefits
Not specified
Pay
$70 - $80 per hour (W2)
Schedule
12+ months, long-term engagement