• Selbstbestimmte Arbeitszeiten • Remote Arbeit • Schritt in der Karriere durch Teamleitung • Leistungsgerechte Bezahlung

Role Description Wir sind ein fast zwei Jahre altes IT Unternehmen, aktuell 50 MA, und suchen nun weiterhin Verstärkung, um Cloud-Projekte bei unseren Kunden durchzuführen. - Deine Arbeitszeiten selbst bestimmen? - von zuhause aus arbeiten (remote)? - den nächsten Schritt in Deiner Karriere gehen und lernen, wie man Teams leitet und ein Unternehmen führt? - einen Arbeitgeber, der Dich leistungs- und ergebnisorientiert bezahlt? Qualifications - bist seit 4 Jahren in Vollzeit berufstätig im Bereich Softwareentwicklung/DevOps und hast große Teile Deiner Erfahrung in Cloud-Infrastrukturen und Deployment-Prozessen gesammelt? - bringst Erfahrung in einem der großen Cloud-Dienstleister (z.B. AWS, Azure) mit? - hast einen Fokus auf eine oder mehrere Programmiersprachen wie z.B. Python, C++, C, Rust oder Go und bist dort ein Experte? - bist nicht kontaktscheu und kommunikationsfreudig? - bist gesegnet mit einem Growth Mindset und willst im Leben immer weiterkommen? - bist überzeugt davon, dass Dein Potenzial noch lange nicht ausgeschöpft ist? Benefits - Fixum: 70.000 € - 72.000 € - Zielgehalt: 77.000 € - 82.000 € (Umsatzbeteiligung an eigenem Umsatz, quartalsweise Ausschüttung) - 30 Tage Urlaub - IT Equipment deiner Wahl (Mac, Linux, Windows) - Gelebter interner Expertenaustausch und Support - Flexible Arbeitszeit und 95% - 100% Homeoffice (abhängig vom Kunden) - Remote-Arbeit im Ausland (GF war Co-Founder von rhome) Company Description Innovation / Venture Studio focusing on Software Development, Legacy and MVP Development: - Supporting corporate clients in innovation / business modeling - Helping technical and non-technical founders getting from 0-1 - Technology focus: Cloud/DevOps, Embedded, C#, Java, SAP, AI, Quantum Computing, B2B SaaS Software Development: - Supporting corporate customers in the areas of software development and DevOps - Assisting customers in identifying automation potentials that can be exploited with software - Developing customized AI agents for the continuous automation of increasingly challenging tasks in marketing, sales, customer success, HR and finance - Helping customers in the application and technical integration of AI agents

Role Description We're hiring a Staff Platform Engineer to build the foundations that let every product squad at Gridsight ship faster and with greater confidence. You'll work across the engineering organisation — identifying the cross-cutting problems that slow squads down and solving them once, well. That might be observability, deployment pipelines, environment management, test infrastructure, or emerging areas like AI-assisted developer tooling. Wherever the leverage is, that's where you'll be. We're building an engineering culture where AI-assisted development is the norm, not the exception. We expect our engineers to be actively using agentic coding tools and LLM-assisted workflows to move faster, think bigger, and deliver more. If you're already working this way — or you're the kind of engineer who's itching to — you'll fit right in. What You'll Do - Identify and solve the cross-cutting platform problems that prevent product squads from shipping faster and with confidence - Build and operate observability platforms — metrics, tracing, logging, alerting — that give product teams and on-call engineers clear, actionable visibility into system health - Evolve our deployment automation, release management, and infrastructure-as-code; tackle environment management and test infrastructure head-on to reduce lead time and tighten CI feedback loops - Architect infrastructure that's secure, cost-effective, and scalable across multi-tenant, multi-region deployments — and proactively pay down tech debt before it bites - Bring platform engineering standards into our data layer (dbt, Databricks): CI/CD, automated testing, environment promotion, observability - Act as a culture carrier for platform and reliability engineering — mentoring engineers across squads, sharing patterns, and shifting how the broader engineering organisation thinks about reliability and developer experience - Treat internal developers as customers: seek feedback, measure satisfaction, iterate on tooling based on real friction Qualifications - 6+ years of software engineering experience with demonstrated impact at Staff level in platform, infrastructure, or SRE domains - Deep cloud infrastructure experience at production scale — compute, networking, storage, IAM, cost management — with strong infrastructure-as-code and container orchestration skills (AWS and Terraform preferred) - Proven track record building and operating observability platforms (metrics, tracing, logging, alerting) at meaningful scale - Strong software engineering fundamentals: clean architecture, testing, version control, code review - A track record of defining systems and practices, not just working within them — you set technical direction, form strong opinions grounded in experience, and drive outcomes without close direction - Demonstrated experience as an enabling function within a product engineering organisation — reducing cognitive load on product teams, building capabilities they adopt willingly, and knowing when to consult, guide, or step back - Fluency in AI-assisted development tooling — you're already using agentic coding tools or LLM-assisted workflows to accelerate your work Requirements - SRE background: SLOs, error budgets, incident management, chaos engineering, war games - Experience building internal developer platforms or PaaS capabilities with a strong focus on DX - Familiarity with data platform technologies (Databricks, Spark, dbt) and their infrastructure requirements - Experience with authentication and identity patterns (Auth0, Azure AD, SAML/SSO, OIDC) in multi-tenant environments - Contributions to open-source projects or technical communities - Experience in energy, utilities, or infrastructure technology Benefits - Competitive salary and equity package - Remote-first, with head office in Sydney - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter

Role Description We are hiring a Senior Platform Engineer to own, design, and scale our Azure-based platform infrastructure. This is not a pure DevOps role. You will: - Build the platform (hands-on) - Define the architecture (strategy) - Evolve into leadership (Team Lead → Director → Head) We want someone who can think like a Head of infrastructure, but still ship like a senior engineer in startup mode. What You Will Do - Platform & Infrastructure - Design and operate multi-environment Azure infrastructure (dev / staging / production) - Build secure, scalable cloud architectures using: - VNet, Subnets, Private Endpoints - AKS (Azure Kubernetes Service) - Storage (Blob, SQL, CosmosDB if needed) - Ensure strong isolation and compliance boundaries (HIPAA-ready mindset) - Infrastructure as Code - Lead infrastructure development using Terraform - Define reusable modules, environments, and deployment patterns - Implement infrastructure lifecycle management and drift control - DevOps & CI/CD - Build and maintain Azure DevOps pipelines - Design secure, scalable CI/CD workflows - Automate: - Build - Test - Deployment - Rollback strategies - Containers & Orchestration - Design and operate containerized workloads - Manage AKS clusters at scale - Implement: - Helm / deployment strategies - Autoscaling - Observability - Security & Compliance - Implement secure-by-design infrastructure - Work with: - Identity & access (RBAC, Managed Identity) - Secrets management (Key Vault) - Network isolation - Build with HIPAA / regulated environment mindset - Cost & Performance Engineering - Optimize cloud cost (FinOps mindset) - Monitor and improve: - Resource utilization - Scaling strategies - Cost vs performance trade-offs - AI Infrastructure (Next Gen) - Deploy and operate agentic AI workflows using Azure AI Foundry - Integrate AI services into platform architecture - Build infrastructure supporting: - LLM-based workflows - Data pipelines for AI systems - Leadership & Evolution - Act as a technical leader for platform - Define best practices, standards, and architecture - Mentor engineers and help build the platform team - Grow into: - Team Lead → Director → Head Qualifications - Strong experience in Azure cloud ecosystem - Deep knowledge of: - Networking (VNet, DNS, private endpoints) - Compute (AKS, VMs, containers) - Storage systems - Proven experience with Terraform in production - Hands-on experience with: - Azure DevOps (pipelines, releases) - CI/CD design and automation - Strong experience with: - Docker - Kubernetes / AKS - Experience across: - On-premise environments - IaaS - Ability to design end-to-end infrastructure systems - Experience with regulated environments (HIPAA or similar is a strong plus) - Understanding of: - Data protection - Access control - Auditability - Experience with Azure AI / LLM infrastructure (Strong Plus) - Interest in building AI-first platform systems Nice to Have - Experience with .NET / backend systems - Experience in: - Healthcare - Fintech - Payments / regulated systems - Experience with Hashicorp tools Benefits - Build greenfield + evolving platform in a complex, high-impact domain - Work on real-world regulated systems (healthcare + payments-like complexity) - Opportunity to shape the entire platform organization - Competitive compensation - Strong growth path into leadership - Exposure to AI-native infrastructure from day one - Meaningful Equity – Share in the success you help build. - Comprehensive Healthcare – Medical, dental, and vision. - Flexible Work – Fully remote with flexible hours. - Generous PTO – Time to recharge, plus company holidays. - Professional Development – Budget for certifications, courses, and conferences.