Senior Software Engineer Go

Centrum-AI; Remote; PLN 240,000 - 320,000; Full time

Job summary

A forward-thinking tech company is seeking a Senior Software Engineer (Go) to design high-performance backend services and maintain cloud infrastructure. The ideal candidate will have 5-10 years of backend development experience, strong skills in Go, and familiarity with cloud environments like AWS, GCP, and Azure. This position offers a unique opportunity to lead DevOps processes and contribute significantly to building an AI-driven supply chain platform in a startup environment.

Benefits

High ownership in a lean team

Flexibility in work location and hours

Opportunity for growth with the company

Qualifications

• 5-10 years of backend development experience.
• Strong Go programming skills (minimum 2+ years preferred).
• Proven experience with cloud providers (AWS, GCP, Azure).

Responsibilities

• Design and implement high-performance backend services in Go.
• Build and maintain cloud infrastructure across AWS, GCP, Azure.
• Own the DevOps pipeline from CI/CD to monitoring.

Skills

Go programming skills

Backend development experience

AWS

GCP

Azure

Cloud-native architecture

Job description

About the job Senior Software Engineer (Go) - Remote

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.

We're 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. They've 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
• 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.