This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff/Lead Platform/DevOps Engineer based in Germany. Join a high-impact engineering team responsible for building and evolving the platform that powers modern AI-driven enterprise solutions. In this role, you will design scalable cloud infrastructure, strengthen platform reliability, and enable engineering teams to deliver products faster and more efficiently. Working in a collaborative, remote-first environment, you'll tackle complex infrastructure challenges across Kubernetes, cloud platforms, and Infrastructure as Code. You'll play a key role in shaping multi-region architectures, improving observability, and driving automation initiatives that support rapid growth. This is an excellent opportunity for an experienced platform engineer who thrives in fast-paced environments, enjoys solving technical challenges at scale, and wants to influence the future of cloud infrastructure. ### Accountabilities: As a Staff/Lead Platform/DevOps Engineer, you will strengthen the engineering platform while enabling development teams to build, deploy, and operate reliable applications. Key responsibilities include: - Support engineering teams by maintaining resilient Kubernetes environments and providing guidance on platform best practices. - Design, develop, and maintain Infrastructure as Code using Terraform while contributing to the migration toward Crossplane. - Build and enhance internal platform services and automation tools, including Python-based solutions. - Manage cloud infrastructure across multiple regions, including Kubernetes clusters, IAM, networking, and identity management. - Troubleshoot production issues, investigate infrastructure incidents, and drive root cause analysis to improve platform reliability. - Lead initiatives related to multi-region deployments, single-tenant environments, and Bring Your Own Cloud (BYOC) architectures. - Improve observability by implementing dashboards, monitoring, logging, tracing, and alerting solutions. - Contribute to FinOps initiatives by optimizing cloud resource usage and improving cost visibility across environments. - Collaborate closely with software engineers to streamline development workflows, improve platform capabilities, and accelerate software delivery. ## Requirements: The ideal candidate combines deep platform engineering expertise with strong collaboration skills and a passion for building scalable cloud infrastructure. You should have: - Strong hands-on experience managing Kubernetes environments (GKE preferred, with EKS or other managed Kubernetes platforms also considered). - Proven expertise with Infrastructure as Code, particularly Terraform, with knowledge of GitOps practices and tools such as ArgoCD. - Experience managing IAM and cloud infrastructure on GCP or AWS. - Strong understanding of cloud-native architecture, container orchestration, networking, and production infrastructure. - Experience implementing monitoring and observability solutions using tools such as Grafana, Honeycomb, Datadog, New Relic, or similar platforms. - Programming experience, particularly with Python, to build automation and internal platform tooling. - Experience participating in or leading incident response and troubleshooting complex production systems. - Excellent communication skills with the ability to collaborate effectively across engineering teams and explain complex infrastructure concepts. - Experience working in startup or scale-up environments with a proactive, adaptable, and ownership-driven mindset. Nice to have: - Experience with Crossplane, GPU workloads, or machine learning infrastructure. - Knowledge of Temporal, MongoDB, PostgreSQL, SQL Server, or similar technologies. - Experience with Grafana Alloy, Loki, or related observability tooling. - Familiarity with Kubernetes security, compliance initiatives, or cloud security best practices. ## Benefits: The company offers a competitive and flexible rewards package designed to support your career growth and personal wellbeing, including: - Competitive salary aligned with experience, skills, and market benchmarks. - Stock options. - Fully remote work with flexible location options and hybrid hub access where available. - Company laptop and remote workspace stipend. - Co-working budget. - Flexible working hours. - Generous paid time off in addition to local public holidays. - Enhanced parental leave. - Health and retirement benefits. - Annual learning and development budget. - Annual company workaways plus regular virtual and in-person social events. - Opportunity to contribute to innovative AI infrastructure projects with meaningful global impact. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! [Why Apply Through Jobgether?](https://jobgether.com/how-jobgether-works) Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1