The Global Talent Co.
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Simon-Kucher & Partners
Stealth Startup
Simon-Kucher & Partners
The Global Talent Co.
SoftwareONE
Druckguss Westfalen Behringer GmbH & Co. KG
NVIDIA
Andritz
MEYER Gruppe
CANCOM SE
SYSTEM AG für IT-Lösungen
Thales
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Wilhelmsen group
A leading recruitment agency is seeking a Senior DevOps Engineer to join a Berlin-based startup specializing in cloud cost optimization. In this hands-on role, you will design and automate cloud infrastructure using AWS and GCP while implementing best practices in cost management. Ideal candidates will have AWS certification and experience with Kubernetes and automation scripting. Opportunity for competitive salary and relocation support included.
Full-time, Berlin
At The Global Talent Co., we connect top global talent with leading technology companies worldwide. This position is a direct hire with BLOCKS, a Berlin-based startup revolutionizing cloud cost optimization. The initial contact will be with The Global Talent Co., but your employment and day-to-day work will be directly with BLOCKS.
BLOCKS is a Berlin-based startup revolutionizing cloud cost optimization for startups and SMEs. Combining a group-buying model with its AI agent “Major Tom,” BLOCKS guarantees 20% savings from day one through automated infrastructure efficiency. With strong funding, rapid growth, and an AI-native engineering culture, BLOCKS empowers small, autonomous teams to create outsized impact.
As a Senior DevOps Engineer, you’ll design, automate, and scale the cloud infrastructure powering BLOCKS’ AI-first platform. This is a hands-on role, where you’ll build and optimize multi-cloud systems (AWS/GCP), implement infrastructure as code, and manage Kubernetes clusters and CI/CD pipelines.
You’ll also play a key role in cloud cost optimization (Savings Plans, RIs, spot instances) and support LLMOps/MLOps deployments, ensuring AI workloads run efficiently and securely. This role is perfect for someone who thrives in a 0→1 environment, balancing infrastructure excellence with rapid product iteration.
Design, deploy, and maintain multi-cloud infrastructure (AWS/GCP) with a focus on scalability and reliability.
Implement infrastructure as code (Terraform, CloudFormation) to automate deployments.
Manage Kubernetes clusters, Docker containers, and microservices.
Build and scale CI/CD pipelines (GitHub Actions, GitLab) for fast, reliable deployments.
Optimize cloud costs through Savings Plans, Reserved Instances, and spot instances.
Develop automation scripts in Python or Go to streamline operations.
Deploy and manage LLMOps/MLOps pipelines (RAG systems, AI workloads).
Enhance monitoring and observability with CloudWatch, Grafana, and Prometheus.
AWS Certification: DevOps Engineer Professional or Solutions Architect Professional.
Hands-on expertise with AWS and GCP, including IAM/RBAC and cross-account roles.
Strong experience with infrastructure as code: Terraform, CloudFormation.
Proven skills in cloud cost optimization (RIs, Savings Plans, spot).
Solid background in Kubernetes, Docker, and microservices orchestration.
Proficiency in Python or Go automation.
Experience with LLMOps/MLOps deployments (pipelines, RAG systems).
Strong Plus
Monitoring & observability tools: CloudWatch, Grafana, Prometheus.
Database operations: PostgreSQL, time-series databases.
CI/CD experience: GitHub Actions, GitLab, blue-green deployments.
API development for billing integrations (REST/GraphQL).
Slack integrations: bots, workflows, enterprise security.
Zero to One: The opportunity to build a category-defining product from scratch.
True ownership: Small teams, high autonomy, fast learning cycles, and zero politics.
Top-of-market compensation: Competitive salary and participation in a virtual stock option program.
Relocation support: Assistance provided for candidates relocating to Berlin.
* O salário de referência é obtido com base em objetivos de salário para líderes de mercado de cada segmento de setor. Serve como orientação para ajudar os utilizadores Premium na avaliação de ofertas de emprego e na negociação de salários. O salário de referência não é indicado diretamente pela empresa e pode ser significativamente superior ou inferior.