Jobs at TOPdesk

Build and maintain SaaS provisioning and management tooling that automates deployment, scaling, and lifecycle of customer environments across 12 datacenters. Own Kubernetes orchestration, scheduling, CI/CD, virtual appliance builds, reliability, observability, and automation. Collaborate with Hosting, SRE, DevEx and product teams; participate in L2/L3 support and on-call rotations; bring AI-native workflows and agent-based automation to reduce operational toil.

Lead one or two engineering teams (front-end, middleware, back-end, data, or platform). Provide technical direction, coach and grow engineers, own delivery and operational outcomes, and operate AI-native SDLC practices (agents, subagents, evals). Contribute to architecture, uphold standards, hire and make talent decisions, and improve cycle time, quality, and stability.

Lead one or two engineering teams (front-end, middleware, back-end, data, or platform). Provide technical direction, grow engineers, own delivery and operational outcomes, and drive AI-native SDLC practices including agent workflows and subagents.

Lead one or two engineering teams to set technical direction, own delivery and operational outcomes, grow engineers, operate and build AI-native agent workflows (Claude Code or equivalent), and uphold quality, security, and stability within the domain.

Build and maintain SaaS provisioning and management tooling powering customer environments. Own orchestration (Kubernetes), scheduling, IaC, automation, observability, and reliability. Collaborate with SRE, Hosting, DevEx, and product teams. Participate in L2/L3 support and on-call rotations. Introduce AI-native practices and maintain Virtual Appliance build systems.

Design and own automated test suites across platform team interfaces. Build agentic quality infrastructure using Claude Code to generate, repair, and evaluate tests. Implement integration, contract, non-functional, and data-adjacent testing; triage failures; define acceptance criteria and CI quality gates. Coach teammates to adopt advanced testing patterns and maintain contract stability and production-quality signals.

Build and maintain SaaS provisioning and management tooling that automates customer environment lifecycle across global datacenters. Own orchestration with Kubernetes, scheduling, IaC, config management, observability, reliability, and L2/L3 on-call support. Integrate AI-native development practices and agent-based automation, collaborate with SRE/Hosting/DevEx, and maintain virtual appliance build systems.

Design and own automated test suites and agentic quality infrastructure. Build integration, contract, and non-functional tests; use Claude Code to generate and evaluate tests; implement CI quality gates; triage failures and improve team testing maturity while enabling engineers to own quality.

Owner of technology financial governance: budgeting, forecasting, cost allocation, and optimisation across cloud, SaaS, licensing and on-prem infrastructure. Build data pipelines, dashboards, anomaly detection and automated allocation; drive cost-reduction initiatives, software asset management, vendor/renewal analysis, and regular stakeholder reviews to improve financial predictability and transparency.

Senior individual contributor owning and designing automated test suites and agentic quality infrastructure. Use Claude Code to generate, evaluate, and repair tests; implement integration, contract, and non-functional testing; build CI evals and quality gates; triage failures and drive teams toward higher testing maturity while keeping human accountability and traceability for agent-generated changes.

Own technology budgeting, forecasting, and spend governance across cloud, SaaS, licensing, and infrastructure. Build data pipelines, dashboards, and allocation models; detect anomalies; drive cost-optimization and software asset management; support vendor renewals and stakeholder cost reviews.

Own SLOs, error budgets, and reliability engineering for a global Azure SaaS estate. Automate toil, build self-healing systems, consolidate observability, lead incidents and postmortems, harden CI/CD and progressive delivery, model capacity and costs, and embed AI-native agents and automation into detection, diagnosis, and remediation.

Own SLOs and error budgets for a global Azure SaaS estate. Build self-healing automation, consolidate observability, lead incident response and postmortems, harden CI/CD and progressive delivery, model capacity and cost, and partner with product teams to improve reliability while controlling costs.

Own and proactively optimise TOPdesk's Azure SQL estate for performance, cost, and resilience. Implement index hygiene, query tagging, observability, backups and DR testing. Advise and enable engineering teams on multi-tenancy, ORM interactions, sharding strategies, and decomposition. Reduce noisy-neighbour costs and external-consultant dependency while shaping target architecture and partnering with Cloud & SRE.

Own SLOs and error budgets for a global Azure-based SaaS, automate toil and build self-healing systems, consolidate observability, lead incidents and postmortems, harden CI/CD and progressive delivery, and manage capacity, performance, and cost forecasting across a multi-cloud estate.

Build and modernise TOPdesk's Knowledge Base end-to-end using agentic workflows. Frame problems, orchestrate agents (Claude Code), implement and verify solutions across frontend and backend (TypeScript/Vue, Java, Postgres, Azure). Own testing, observability, rollback plans, and reusable agent patterns. Coach peers, contribute shared prompt/agent libraries, and ship production modernisation work while maintaining operational quality and security.

Build and modernize the Knowledge Base end-to-end using agentic workflows. Frame problems, orchestrate and verify agent work, ship features and legacy-modernisation across UI and backend, contribute shared agent/prompt libraries, and mentor colleagues to raise engineering standards.

Take structural ownership of TOPdesk's Azure SQL estate: proactively optimize cost and performance, implement index hygiene and query tagging, improve observability, ensure backups/DR and security, advise engineering teams on multi-tenancy and data patterns, and contribute to sharding and decomposition architecture.

Drive proactive performance, cost and resilience improvements across TOPdesk's Azure SQL estate: optimise cost and indexes, implement observability and query tagging, validate backups and DR, advise engineering teams on multi-tenancy and data patterns, and shape sharding/architecture decisions while reducing external consultant dependence.

Lead full-stack product and legacy-modernisation work for TOPdesk's Knowledge Base using agentic workflows. Orchestrate and verify agent-generated changes, write briefs and acceptance criteria, build reusable agent/prompt libraries, improve backend and UI across Python/TypeScript/Vue/Azure stack, and mentor colleagues to raise engineering standards.