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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Backend Engineer, Platform - **Company:** APAL INC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Databases, Continuous Integration, Cursor, DevOps, Distributed Systems, PostgreSQL, Scrum Methodology, RabbitMQ, Azure Service Bus, Data Logging, GitHub Copilot, Backend, Cloudformation, Integration Tests, Kubernetes, Apache Kafka, Amazon Simple Queue Service (SQS), Terraform, Stream Processing, GPT, Docker - **Published:** October 20, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/psza3303zp ## About the Role * 5+ years of backend development experience, with a track record of owning significant technical work from ambiguity through to completion. * Substantial hands-on ownership of infrastructure, reliability or performance, ideally on a platform or infrastructure team rather than a pure product team. * Strong engineering fundamentals that transfer across languages and cloud platforms. We care more about how you think than which stack you've used. * Experience designing and scaling distributed systems in cloud-native environments (AWS preferred; strong Azure fundamentals and genuine enthusiasm for the switch work just as well). * Comfort with containerised services and infrastructure-as-code (Docker, Terraform; CloudFormation exposure is relevant given our current stack). * Confidence writing your own unit and integration tests, as we don't have a dedicated QA function. * A project you can talk about in depth: the problem, what you did and the impact it had. * Fluent English. Nice to have * Direct experience with C# (.NET), PostgreSQL, AWS and ECS or Kubernetes: a great fit, though not a hard requirement if your fundamentals are strong. * Experience setting up infrastructure-as-code from scratch and working with it day to day, ideally with Terraform, including migrating or consolidating from other approaches (like CloudFormation). * Experience with Kafka or other event-driven and streaming systems (Azure Service Bus, RabbitMQ or SQS are good transferable equivalents). * Experience owning observability and logging for highly available systems. * Hands-on use of AI-assisted development tools (GitHub Copilot, Cursor AI, ChatGPT, Amazon CodeWhisperer) and a genuine interest in AI-driven engineering improvement. * Experience mentoring other engineers, and introducing new technology, like AI tooling, to other teams. ## Description You'll join our Platform team as an individual contributor, working directly with our Platform Lead, who sets Platform's technical direction. Platform owns infrastructure, developer experience and security foundations for the whole engineering organisation. It's a small team, so you'll cover a wide surface area, with no dedicated DevOps or QA function to hand work to. This is a high-ownership seat. You'll take on substantial, ambiguous, cross-cutting initiatives, agree the direction with the Platform Lead, then drive them from first analysis through to completion with real autonomy over how you get there. We don't run a groomed backlog or sprint planning. We assign a significant topic to someone who owns it end to end. If you thrive with structure handed to you, this isn't the role. If you love spotting the problem worth solving and driving it yourself, you'll fit right in. What you'll be up to * Designing and building scalable, reliable and maintainable backend systems. * Spotting and scoping problems and initiatives yourself, not just picking up assigned tickets: weighing impact, priority and timing. * Contributing to architectural decisions and design discussions, and bringing other teams along. * Driving substantial, cross-cutting initiatives end to end, coordinating with stakeholders across engineering. * Building and maintaining internal tools and infrastructure (AWS, Terraform) that help teams deliver faster and more reliably. * Owning observability, logging and operational excellence to keep the platform highly available. * Sharing knowledge through code reviews, design reviews and pairing, and helping raise technical standards. * Spotting where AI and automation can improve how we build and run software. Some of the challenges waiting for you You'll take ownership of one of these as your first initiative, with no other distractions. * Solving horizontal write-scaling for our database. * Modernising our CI/CD pipeline for faster, more reliable delivery. * Migrating our infrastructure-as-code fully from CloudFormation to Terraform. * Extracting and reworking common services to get us ready for our next scale level.