Senior Software Engineer (Go) - Worldwide, Remote
TypeFull-time job
LocationUnited States
Posted2 hours ago
Senior Software Engineer (Go) - Full-Time, High-Impact Role
Help us build the future of supply chain intelligence.
We're a small, fast-moving team building a next-generation supply chain AI platform. As a startup, we prioritize development speed and iteration. Creating solid and clean building blocks while delivering meaningful features is top of mind right now.
Were well-funded, having already secured several million dollars in backing. Our funding team has a strong track record, having previously built multiple successful startups, including several that scaled to hundreds of millions in valuation. Theyve raised significant venture capital and launched industry-leading products in their respective domains.
We need a Senior Backend Engineer with a strong focus on Go who can architect scalable systems, ship production-ready code, and own the entire deployment pipeline from local development to cloud infrastructure.
What You'll Do
Design and implement high-performance backend services in Go
Build and maintain cloud infrastructure across AWS, GCP, and Azure
Own the DevOps pipeline from CI/CD to monitoring and alerting
Lead our SOC 2 compliance efforts, implementing security best practices
Create robust APIs that power our AI-driven supply chain platform
Optimize for performance, reliability, and cost across cloud providers
Automate infrastructure provisioning and deployment processes
Collaborate with frontend engineers to design efficient data flows
Make architectural decisions that balance speed of delivery with long-term maintainability
You Should Have
5-10 years of backend development experience
Strong Go programming skills (minimum 2+ years preferred)
Proven experience with AWS, GCP, and Azure not just one cloud provider
Deep understanding of cloud-native architectures and microservices
Hands-on DevOps experience (Docker, Kubernetes, Pulumi, etc.)
Security-first mindset with understanding of compliance frameworks
Self-driven approach with ability to own projects end-to-end
Experience shipping production systems that scale
Bonus Points
SOC 2 compliance experience you've been through the audit process
Built AI/ML infrastructure or data pipelines at scale
Experience with multi-cloud deployments and cost optimization
Track record of improving developer velocity through tooling and automation
Background in supply chain, logistics, or enterprise software
Why Join Us?
You'll have direct impact this isn't a cog-in-the-machine role
Own the entire backend architecture and infrastructure decisions
Work with a lean team where your decisions shape the product and culture
Build fast, experiment often, and learn from real users
High ownership with the flexibility to work where and when you're most productive
Join early, grow with the company, and help define engineering excellence
To Apply
Tell us about a backend system you built that balanced rapid development with production reliability. We'd love to hear about a time you improved deployment speed, reduced cloud costs, or implemented security controls without slowing down the team. Bonus if you can share architecture diagrams or performance metrics.
Originally posted on Himalayas
Help us build the future of supply chain intelligence.
We're a small, fast-moving team building a next-generation supply chain AI platform. As a startup, we prioritize development speed and iteration. Creating solid and clean building blocks while delivering meaningful features is top of mind right now.
Were well-funded, having already secured several million dollars in backing. Our funding team has a strong track record, having previously built multiple successful startups, including several that scaled to hundreds of millions in valuation. Theyve raised significant venture capital and launched industry-leading products in their respective domains.
We need a Senior Backend Engineer with a strong focus on Go who can architect scalable systems, ship production-ready code, and own the entire deployment pipeline from local development to cloud infrastructure.
What You'll Do
Design and implement high-performance backend services in Go
Build and maintain cloud infrastructure across AWS, GCP, and Azure
Own the DevOps pipeline from CI/CD to monitoring and alerting
Lead our SOC 2 compliance efforts, implementing security best practices
Create robust APIs that power our AI-driven supply chain platform
Optimize for performance, reliability, and cost across cloud providers
Automate infrastructure provisioning and deployment processes
Collaborate with frontend engineers to design efficient data flows
Make architectural decisions that balance speed of delivery with long-term maintainability
You Should Have
5-10 years of backend development experience
Strong Go programming skills (minimum 2+ years preferred)
Proven experience with AWS, GCP, and Azure not just one cloud provider
Deep understanding of cloud-native architectures and microservices
Hands-on DevOps experience (Docker, Kubernetes, Pulumi, etc.)
Security-first mindset with understanding of compliance frameworks
Self-driven approach with ability to own projects end-to-end
Experience shipping production systems that scale
Bonus Points
SOC 2 compliance experience you've been through the audit process
Built AI/ML infrastructure or data pipelines at scale
Experience with multi-cloud deployments and cost optimization
Track record of improving developer velocity through tooling and automation
Background in supply chain, logistics, or enterprise software
Why Join Us?
You'll have direct impact this isn't a cog-in-the-machine role
Own the entire backend architecture and infrastructure decisions
Work with a lean team where your decisions shape the product and culture
Build fast, experiment often, and learn from real users
High ownership with the flexibility to work where and when you're most productive
Join early, grow with the company, and help define engineering excellence
To Apply
Tell us about a backend system you built that balanced rapid development with production reliability. We'd love to hear about a time you improved deployment speed, reduced cloud costs, or implemented security controls without slowing down the team. Bonus if you can share architecture diagrams or performance metrics.
Originally posted on Himalayas
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