Platform Engineer

Platform Engineer STS Digital (stsdigital.io) is a leading regulated digital asset trading firm specialising in OTC trading and market making. While trading is headquartered in Bermuda, technology development is provided by a vibrant global technology team. We are seeking a Platform Engineer to join the Platform team. This role owns and operates the core cloud infrastructure, developer tooling, and automation that underpin the company's engineering operations. It's a hands-on engineering role — you'll build and run infrastructure as code, improve CI/CD and developer experience, eliminate operational toil through automation, and help the team put AI/LLM tooling to work across our platforms and workflows. You'll play a key part in maintaining the reliability, security, and scalability of a mission-critical trading platform. The role reports to the Platform Team Lead. English is the company language. Responsibilities Build, operate, and maintain cloud infrastructure across AWS (EKS, EC2, networking, IAM). Develop and maintain Infrastructure as Code (Terraform), configuration management, and environment automation. Build and improve CI/CD pipelines and deployment workflows in collaboration with engineering teams. Own system monitoring, logging, alerting, and operational health checks. Participate in incident response, troubleshooting, and remediation. Write and maintain tooling, automation, and internal services to improve reliability and developer experience. Identify and eliminate operational toil through code rather than manual process. Use AI/LLM tooling to accelerate engineering work and integrate it into internal platforms and workflows where it adds value. Apply security best practices across infrastructure, and support patching, access reviews, and operational controls. Maintain documentation, runbooks, and platform standards to support reliability and consistency. Qualifications & Experience Essential 5+ years' total experience in software engineering. Of these, 3+ years in a Platform, SRE, or Infrastructure Engineering role, with demonstrated ability to own and drive work independently (scope problems, make decisions, deliver with minimal oversight). Hands-on production experience with Kubernetes and containerised workloads (deploying, operating, and troubleshooting, not just familiarity). Strong AWS experience across core services (EKS, EC2, networking, IAM). Practical Infrastructure as Code experience with Terraform. Experience building and maintaining CI/CD pipelines — GitHub Actions preferred, or equivalent (GitLab CI, Jenkins, etc.). Real, demonstrable coding ability — able to write, read, and maintain non-trivial code, not just glue scripts. (Go, .NET/C#, or Python a strong bonus.) Comfortable using AI tools in day-to-day engineering work (coding assistants, agentic workflows, etc.) and doing so effectively. Strong troubleshooting skills and a pragmatic, service-oriented mindset. Fluent in English, both written and spoken. Desirable Working knowledge of AI/LLM tooling beyond end-user consumption — e.g. building or integrating with LLM APIs, agent frameworks, RAG pipelines, MCP servers, prompt/eval tooling, or self-hosted model infrastructure. Exposure to SRE practices: monitoring, logging, alerting, and incident management. Knowledge of security fundamentals in cloud and enterprise environments. Experience supporting fast-paced engineering or financial services / trading teams. Some exposure to corporate IT / end-user systems (Office 365, Entra, identity and access management) — occasional support of these is part of the role, but it's a small slice, not the focus. Our Tech Stack Infrastructure: AWS (EKS, EC2), Terraform CI/CD & Version Control: GitHub, GitHub Actions Backend: C#, Python Frontend: React Databases: PostgreSQL, DynamoDB Why Join Us This role offers the opportunity to work on the core infrastructure and systems that underpin a mission-critical digital asset trading platform. You will collaborate closely with engineering, trading, and security teams, gain deep exposure to cloud infrastructure and modern AI-enabled engineering practices, and play a key role in ensuring the reliability, security, and scalability of a growing technology organisation.