Jobs at ClearRoute

Design and implement modern paths to production, build end-to-end CI/CD pipelines, configure Kubernetes platforms for containerized applications, and support platform engineers and developers in adopting delivery practices. The role requires quickly adapting to new environments, contributing hands-on, owning deliverables, and clearly explaining technical work.

Build and operate secure developer-platform products, CI/CD pipelines, infrastructure, observability, and AI-agent tooling in a regulated environment. Responsibilities include prototyping and hardening solutions, designing agent controls, developing dashboards and developer tools, embedding secure defaults, running measurable experiments, improving DORA performance, and maintaining zero-downtime platform operations. The role also involves direct collaboration with delivery teams and influencing the platform roadmap.

Design and execute adversarial tests for AI agents and LLM workflows, covering prompt injection, tool misuse, hijacking, poisoning, privilege escalation, and hallucinations. Develop repeatable evaluation methods for nondeterministic systems, establish AI risk governance, map controls to OWASP, NIST, and MITRE frameworks, and define incident-response procedures. Recommend testing tools, advise teams and clients, and progressively train security engineers to operate the practice.

Lead hands-on development of production Python and FastAPI services for an agentic development platform. Establish automated acceptance and architecture testing, enforce engineering standards, identify AI-agent failure modes, and promote safe use of agentic editors across more than 120 engineers. Collaborate with architecture, cloud, AI, Snowflake, and application teams while coaching engineers and delivering software in ambiguous, fast-moving environments.

Build and optimize scalable full-stack web applications using React, Python, and modern JavaScript or TypeScript. Deploy cloud-native applications, preferably on Azure, integrate LLM and agentic AI services, work with APIs and microservices, and support Docker-based CI/CD pipelines. The role also emphasizes performance, observability, high-throughput data handling, and reliable production deployments.

Own and evolve a shared Azure platform supporting multiple AI and agentic delivery teams. Lead infrastructure as code with Terraform, build CI/CD pipelines and golden paths, establish identity, networking, security, governance, and observability standards, and guide the platform roadmap. Partner with technical leads, make key architectural decisions, review designs and code, and mentor engineers.

Build and optimize scalable full-stack web applications using React, Python, JavaScript, and TypeScript. Deploy cloud-native solutions, preferably on Azure, integrate APIs, microservices, LLM-based services, and agentic AI systems, and support containerized environments and CI/CD pipelines. The role also emphasizes high-throughput applications, front-end performance, observability, and reliable deployments while collaborating with backend, cloud, and AI engineering teams.

Design and implement an AI-enabled AWS delivery platform that safely supports agentic development. Build guardrails, controls, observability, telemetry, and policy enforcement across local development environments and CI/CD pipelines. Research and prototype secure developer workflows, containerized or remotely offloaded environments, and scalable governance practices. Collaborate across engineering, platform, security, and enterprise teams to turn emerging concepts into practical solutions and support developer adoption.

Build and operate a highly available Coder platform on Kubernetes, creating Terraform-defined workspace templates and hardened container images. Implement identity, networking, egress, secrets, and audit controls; troubleshoot Linux and connectivity issues; load test and optimize cost, scale, and developer experience. Produce portability-focused documentation, operational runbooks, control evidence, and recommendations for production deployment across cloud environments.

Design and build scalable Python microservices and APIs for an AI-powered code modernization and migration platform. Develop MCP servers and agent tools, orchestrate agentic and multi-agent workflows, and manage backend service lifecycles. Ensure services are robust, observable, tested, and production-ready while shaping tool-calling, state-management, and distributed-system architecture. The role also involves Git workflow automation, developer tooling, and potentially containerized deployments and agent-facing interfaces.

Design, build, and maintain scalable Python microservices and APIs that power agentic workflows for a code modernization and migration platform. Ensure backend services are robust, tested, and production-ready; contribute to agentic architecture and integrate with MCP services, LLMs, and Git automation tooling.

Design, build, and operate internal developer platforms and production-ready infrastructure. Manage Kubernetes clusters, IaC (Terraform/Pulumi/CDK), CI/CD pipelines, secrets management (Vault), and SRE/security practices. Support AI/ML platform needs (GPU scheduling, model serving, MLOps, vector DBs) and lead client-facing technical discovery, documentation, and coaching.

Open invitation to submit a CV and screening answers for future engineering and consultancy roles at ClearRoute. Company emphasizes collaborative culture, inclusive hiring, global growth across UK, US, Australia, India and Bulgaria, and accommodations for accessible interviews. Talent team will contact suitable candidates.

Design, build, and maintain scalable Python microservices and APIs powering an automated code modernization and migration platform. Deliver production-ready, well-tested backend services, work with MCP tools, contribute to agentic architecture and GenAI integrations, and collaborate across teams to support large-scale analysis, transformation, and orchestration of legacy systems.

Design, develop, and maintain full-stack web applications and REST/GraphQL APIs using TypeScript, React and Node.js. Collaborate with product, UX and DevOps to deliver scalable, tested solutions, optimise databases, integrate third-party services, and improve CI/CD and code quality.

Design and implement controls, guardrails, and telemetry to enable safe AI-assisted development. Research and prototype agentic tooling patterns, build observability and policy enforcement across local and CI/CD environments, and collaborate with platform, security, and engineering teams to roll out governance and developer adoption.

Build and maintain React front-end components and responsive UIs for a control plane; orchestrate agentic harnesses (Claude) to generate, validate, and test code; contribute to Python/FastAPI back-end APIs; create templated archetypes and golden-path tooling; collaborate with UX; ensure performance, security, and testing-first maintainability.

Lead hands-on AWS application development and platform adoption: design guardrails, tooling, and developer practices; coach teams, run proofs-of-concept, and drive enterprise migration and uptake across engineering, platform, and security stakeholders.