• Build shared services, APIs, and workflows that support administrative experiences • Design reliable backend systems for cross-domain business flows • Apply AI effectively throughout the software lifecycle • Contribute reusable engineering skills that improve how teams work with AI • Partner with product, design, and engineering peers to deliver high-quality outcomes

Role Description As (Lead/Senior) Technical Product Manager for Platform Engineering, you will shape the internal platform products that help our builders ship better software faster, more reliably, and with less friction. You will partner with engineering across Developer Platform & Security to turn complex platform capabilities into products that developers and AI agents love to use. Your work will cover internal developer experience, cloud and infrastructure workflows, CI/CD, observability, security guardrails, Backstage, AI coding tools, and agentic workflows. This is a senior individual contributor role. You will not manage people, but you will influence technical direction, product strategy, and adoption across engineering. - Strategic Product Leadership: Own and drive the product vision, strategy, and roadmap for Platform Engineering products, aligned with company priorities and engineering needs. - Platform-As-Product: Treat internal capabilities like real products, using discovery, user research, feedback loops, and adoption data to solve actual builder problems. - Stakeholder Management: Align engineers, product managers, engineering leads, security, SRE, and senior leadership around a clear platform direction. - Impact Ownership: Define and track success metrics such as platform adoption, Change Lead Time, MTTD/MTTR, etc. This includes translating complex technical platform initiatives and metrics into clear business impact and ROI for non-technical (C-level) stakeholders. - Internal Product Evangelism: Communicate complex technical products in a clear, compelling way so teams understand, trust, and adopt them. - Agentic Engineering Enablement: Help shape the tools, context layers, and guardrails that allow humans and AI agents to build and release software safely. - Prioritisation & Trade-Offs: Balance speed, reliability, security, simplicity, and long-term maintainability in a fast-moving scale-up environment. Technologies your teams will work with include: - Google Cloud Platform, Vercel - Terraform / Terramate - GitHub Actions - Backstage - Cursor, MCP, and agentic engineering workflows - TypeScript, Python, and GoLang Qualifications - Several years of experience in Product Management, Technical Product Management, or a similar role for technical products. - A strong platform-as-product mindset, ideally with experience building internal tools, developer platforms, infrastructure products, or technical B2B products. - Enough technical depth to reason about cloud infrastructure, CI/CD, observability, security, and software delivery trade-offs with engineers. - Strong communication skills and the ability to translate complex technical concepts into narratives that different audiences can understand. - Proven ability to influence senior stakeholders. - A pragmatic, outcome-oriented way of working, focused on solving real problems fast. - Excellent English communication skills; German is a plus. Requirements - Experience with platform engineering, SRE, cloud infrastructure, security, developer experience, or internal developer portals. - Hands-on technical background, coding experience. - Experience in a scale-up environment with roughly 100 to 1000 employees. - Interest in climate tech and renewable energy. Benefits - You are part of an international, dynamic, and highly motivated team of people who have proven to make things happen. - With your work, you accelerate the "energy transition" and hence have a direct impact on our climate. - Work with and learn from other super-smart colleagues. - You will enjoy direct contact with core decision-makers. - You will enjoy the best chances of entering full-time in one of Europe’s most thriving scaleups. - You work remotely (Germany-wide), with offices in Hamburg, Berlin, or Munich. - Create a healthy balance alongside your work and enjoy all the benefits of the EGYM Wellpass. - Benefits and discounts are yours with Futurebens. - Whether city bike or e-bike - be flexible with our job bike leasing and do something good for the environment at the same time.

• Lead, mentor, and grow a team of ~8–10 strong systems and backend engineers, fostering a culture of technical excellence and high code quality. • Own the vision and roadmap for the platform layer of the Bidding Platform - planning its evolution with platform efficiency, reliability, scalability and security as the guiding lens. • Take part in defining the team's evolving scope — as the platform grows, we anticipate the need for multiple platform teams, leaving meaningful room to shape the scope around the areas that interest you most. • Delegate ownership of whole platform areas (e.g. monitoring, deployment, security) to senior engineers advising and supporting them when needed. • Deliver the team's capabilities as self-service platforms with clear usage contracts. • Base decisions on data - complex projects often require running experiments and gathering evidence before deciding. • Take part in IT-wide capacity planning for further platform scaling. • Own the framework for dispatching on-call alarms to the right teams and drive the continuous elimination of noisy alarms. The lead does not need to take part in the duty rotation personally.

Role Description Design, build, and operate a sovereign AI toolchain used in isolated or tightly controlled environments, including model serving, retrieval, orchestration, observability, and secure platform operations for enterprise AI engineering workloads. This role centers on open-source or open-weight LLM stacks, air-gapped or isolated deployment models, Kubernetes-based platform engineering, GPU-enabled environments, and auditable AI operations suitable for sovereignty-sensitive programs. WHAT WILL YOU DO? - Design and run Kubernetes environments optimized for AI inference, retrieval, experimentation, and agent execution in secure or isolated settings. - Deploy and operate open-source or open-weight model stacks, model gateways, vector databases, and supporting platform components. - Build reproducible platform automation using Infrastructure as Code and GitOps approaches for stable, auditable delivery. - Manage local registries, package mirrors, secrets, access controls, storage, networking, and observability in environments with limited or no public cloud dependency. - Optimize GPU, compute, and storage usage for reliable AI workloads while maintaining security and data sovereignty requirements. - Examples of market tools, models, and platform components expected: - Inference and local serving stacks such as vLLM, Ollama, llama.cpp, or OpenAI-compatible self-hosted endpoints. - Open-source or open-weight models appropriate for sovereign deployment, for example coding-capable and general-purpose families hosted internally through approved serving layers. - Platform tooling such as Kubernetes, Helm, Terraform, Ansible, ArgoCD, private registries, Qdrant or similar vector stores, and Open WebUI or comparable internal interfaces. - Developer-facing integration options such as VS Code-compatible extensions, Continue-style local model connectors, or editor integrations pointed at internal APIs instead of external SaaS endpoints. - Hardware awareness covering GPU-backed nodes, CPU-only fallback options, storage performance, network isolation, and on-prem or dedicated infrastructure patterns. Qualifications - Have 5+ years in platform engineering, DevOps, SRE, or MLOps, with strong Kubernetes and Linux expertise. - Have proven experience with AI infrastructure, model serving, private or on-prem deployments, and production operations for LLM-based workloads. - Have strong hands-on skills in Python plus automation tooling such as Terraform, Ansible, Helm, and GitOps workflows. - Have good understanding of networking, storage, access control, monitoring, and operational hardening in high-security environments. - Are comfortable working in sovereignty-driven environments where auditability, isolation, and controlled data handling are mandatory. Benefits - Financial benefits. - Benefits with focus on learning and development. - Benefits with focus on health and sport. - Benefits with focus on family and work-life balance. - Other benefits. Salary Final salary is negotiable. We are offering base salary depending on seniority level and previous experience of candidate. In addition to base salary we provide variable part and other financial benefits. Base salary will not be lower than 2100 € /brutto. Additional Information Please be informed that our remote working possibility is only available within Slovakia due to European taxation regulation. Location: Kosice Company: Deutsche Telekom System Solutions Slovakia Language: English Job category: Technical positions