Top Tech Jobs & Startup Jobs

Lead and develop a small administrative team, oversee administrative processes, ensure service quality, support GFM Europe with tools and PO creation, manage stakeholder relationships, coordinate schedules and budgets, and implement process improvements.

Manage territory sales by building customer relationships, delivering technical product expertise, running trials and demonstrations, developing sales plans and forecasts, analyzing market trends, and collaborating with cross-functional teams while spending ~70% of time in the field to achieve revenue and margin targets.

Lead development of the Java layer for an internal developer platform: build shared libraries, service templates, and AI integrations. Design scalable distributed systems, implement CI/CD, containerization and IaC, enforce testing (JUnit, Mockito, contract tests), documentation-as-code, observability, and AI-assisted engineering practices. Conduct code reviews, mentor engineers, and collaborate with cross-functional teams.

Lead design and delivery of a shared CI/CD, Kubernetes, and IaC platform. Drive platform architecture, monitoring, security, and developer experience. Mentor engineers, collaborate with product and scientific teams, and apply AI-assisted engineering to improve platform reliability, scalability, and operational standards.

Lead FinOps for engineering by applying financial analysis, cloud economics, cost allocation, sustainability metrics, and portfolio/vendor governance. Partner with engineering, product and scientific teams to translate needs into data-driven reporting, visualizations and scalable outcomes, emphasizing quality, documentation and responsible AI use.

Lead platform and infrastructure initiatives, manage engineering teams and vendors, own incident/SLA processes, delivery across workstreams, budget and SoW oversight, define KPIs, drive modernization and AI-assisted engineering practices, and communicate operational status to stakeholders.

Lead AI enablement by designing and delivering scalable AI infrastructure, MLOps, model serving, vector DBs, HPC/GPU scheduling, and AI safety. Drive roadmaps, metrics, POCs, cross-team collaboration, and build/mentor a high-performing ML engineering team.

Lead development of the Python layer for an internal developer platform: build shared libraries and templates, apply AI-assisted engineering, ensure CI/CD, containerization (Docker/Kubernetes), Terraform infra, testing and quality, documentation-as-code, security, performance optimization, monitoring, and mentor junior engineers across cross-functional teams.

Lead design, deployment and optimization of HPC clusters, GPUs, storage, job scheduling and Kubernetes-native orchestration for scientific workloads. Partner with scientists and engineers, set standards for security, monitoring and disaster recovery, manage vendor strategy and budgets, mentor engineers, and produce documentation and training to enable reliable compute for R&D.

Lead design and delivery of scalable backend and frontend solutions for screening operations and logistics. Own end-to-end systems, apply AI-assisted engineering, mentor junior engineers, drive CI/CD and DevOps practices, optimize performance, and collaborate with product and scientific teams to translate complex workflows into reliable production services.