Role Description NeuraPlox sucht den Engineer, der unsere Sovereign-AI-Plattform from scratch auf baut. Kein Hyperscaler-Lock-in, kein US-Stack, kein "Cloud-agnostisch"-Marketing. Wir bauen explainable, high-performance, enterprise-grade AI auf souveraener Infrastruktur, weil unsere Enterprise-Kunden in regulierten Branchen genau das brauchen. Investor-backed, Munich-Region, Investor-Demo Q1 2027. Aufgaben - Multi-Tenant Kubernetes-Plattform auf STACKIT SKE, Greenfield-Architektur mit definierter Roadmap - CloudNativePG (CNPG) als Postgres-Layer mit Multi-Tenant Row-Level-Security - Supabase + Keycloak + Infisical Secret Management, sauber integriert - NetworkPolicies + NGINX Ingress + GitOps mit ArgoCD - Token-Quota-Service für Multi-Tenant LLM-Inference (eigenes Design, kein OSS-Drop-in) - Architektur-Entscheidungen, die unseren ersten Enterprise-Rollout 2027 tragen Wie wir arbeiten - ADRs für jede relevante Architektur-Entscheidung, nicht im Slack-Thread vergraben - Runbooks vor Production, nicht danach - Code Reviews als Standard, nicht als Ausnahme - Eval-Suiten und Lasttests vor dem ersten Tenant - Direkter Draht zum Founding-Team, kein Layer aus Project Managern dazwischen Qualifications - 5+ Jahre Production-Kubernetes-Erfahrung, nicht "Kubernetes im Tutorial gesehen" - Postgres-Operator-Track (CNPG, Zalando, Crunchy) mit echten Multi-Tenant-Setups in Produktion - Multi-Tenant SaaS-Architektur, idealerweise mit Row-Level-Security oder Schema-per-Tenant - Sovereign-Cloud-Affinität (STACKIT, IONOS, Open Telekom Cloud) ein Plus, kein Muss - Selbstständig, dokumentationsbereit, pragmatisch. Du schreibst ADRs gerne, nicht widerwillig. Tech-Stack - Kubernetes - Helm - Terraform - ArgoCD - CNPG - Supabase - Keycloak - NGINX Ingress - Infisical - Python - Go Benefits - VSOP-Anteil als Investor-backed Startup - Voll-remote möglich, optional 1 bis 2 Tage/Monat im Munich-Office - Du reportest direkt an Christoph Knoell (Founder/CEO) und arbeitest eng mit unserem Head of AI, Dr. Elmar Diederichs - Senior-Hire für den Plattform-Layer, du prägst die Architektur, nicht "implementierst Tickets" - CV plus 3 Sätze, warum genau diese Rolle. Kein Anschreiben-Template. - Wir lesen jede Bewerbung selbst. Company Description Neurawork ist ein junges KI-Beratungsunternehmen mit Schwerpunkt auf Künstliche Intelligenz. Wir bieten KI-Upskilling, KI-Strategieentwicklung und Beratung für Selbstständige und Unternehmen an. Sei von Anfang an dabei, wenn wir großes Schaffen!

Role Description We are looking for a pragmatic and experienced Platform Engineer to build the production-grade platform for AI-assisted Software Development Life Cycle (SDLC). You excel at turning innovative multi-agent concepts into a reliable, enterprise-scale service that will be used by thousands of engineers. You will build the rock-solid foundation that will empower our developers to deliver software in weeks, not months. You are the engineer who makes the AI vision a reality. - Design, build, and maintain the core infrastructure for the AI-Assisted SDLC Platform using Infrastructure as Code, ensuring high availability and scalability for all agent interactions. - Develop the production implementation, managing the state, context, and human-approval gates between the various SDLC agents. - Build the critical integration points for our developers, including backend services for the VS Code extension and webhooks for seamless GitHub pull request workflows. - Own the platform, ensuring automated, safe, and efficient delivery of new features and infrastructure changes. - Collaborate with the LLM Engineers and software teams to translate complex requirements for agent communication into a robust and scalable technical architecture, iterating based on real-world usage. - Integrate the platform with critical enterprise systems. Qualifications - 5+ years of experience as a full-stack or backend engineer, with expert-level proficiency in Python and experience with TypeScript/JavaScript. - Strong, hands-on experience with cloud infrastructure (AWS preferred), Infrastructure as Code (e.g., Terraform), and container orchestration (Kubernetes). - Proven track record of designing, building, and managing CI/CD pipelines for production systems. - Experience building or operating Platform as a Service (PaaS) or large-scale distributed systems in an enterprise environment. - Familiarity with building applications powered by LLMs. Requirements - Experience architecting and building developer tools, IDE extensions (e.g., for VS Code), or GitHub Apps. - Experience building stateful, real-time web applications using technologies like WebSockets or Server-Side Events to power live IDE interactions. - Proven experience designing and building LLM-powered agents and multi-step agentic workflows, especially for code generation or analysis. - Professional fluency in Japanese, both written and spoken. Benefits - To Shape a Global Culture: Play a pivotal role in defining the people-centric culture of a rapidly growing global technology company from the ground up. - To Make a Global Impact: Work at the exciting intersection of cultures and innovation, directly supporting digital transformation projects for world-renowned clients. - To Accelerate Your Growth: Gain exposure to international teams, cutting-edge technologies, and endless opportunities for professional development. - A Dynamic & Inclusive Team: Join a collaborative environment where new ideas are celebrated, and your contributions truly matter. - Competitive Rewards: We offer a competitive compensation and benefits package in a company poised for long-term global growth. We are a remote-first, flexible work hours company.

• Owning and executing the PAM product roadmap, balancing current operational needs with longer-term strategic goals for privileged access and secrets management across the enterprise • Proactively identifying and prioritizing use cases for human and non-human privileged access—including service accounts, non-human identities (NHI), agentic/automated workflows, and secure secrets management for cloud and DevOps environments • Anticipating evolving business, security, and technology trends—including AI-driven and agentic access scenarios—and translating them into actionable product features, policies, and program initiatives • Overseeing the design, optimization, and engineering of workflows for privileged account vaulting, lifecycle management, just-in-time (JIT) access, session monitoring, and automated credential rotation across hybrid environments • Driving integration of PAM with related platforms such as IAM, IGA, SIEM, cloud providers (AWS, Azure, GCP), and CI/CD pipelines to support secure automation and enterprise agility • Leading, mentoring, and developing a high-performing PAM engineering team, fostering a culture of innovation and continuous improvement in a rapidly evolving threat landscape • Monitoring PAM platform maturity, industry trends, and emerging standards to continuously sharpen the program's strategic direction • Serving as the internal subject matter expert (SME) for privileged access—advising security, architecture, compliance, and business teams on PAM capabilities, gaps, and best practices • Responding to and remediating audit findings related to privileged access controls and secrets management • Managing budget planning, resource allocation, and vendor relationships for all PAM technologies and solutions • Developing and maintaining documentation, standards, and operating procedures that make PAM understandable and adoptable across the organization

• Automate the Azure infrastructure powering our products from end-to-end. • Harden what exists, modernize what needs it, and build new infrastructure the right way from the start using Bicep and ARM templates. • Build and mature our DataDog implementation including how we are using it, not just configuration. • Ensure our Azure environment, pipelines, and application follow security best practices. • Standardize what 'healthy' looks like for our systems. • Own the reliability and effectiveness of our Azure DevOps pipelines. • Build self-service tools, standards, and documentation. • Lead performance investigations and own post-incident reviews. • Act as a consultant and coach to development teams on cloud best practices, security, reliability patterns, and observability.