Senior DevOps Engineer (Cloud Infrastructure & Automation)

9 Minutes ago • All levels
Devops

Job Description

As a Senior DevOps Engineer at BLOCKS, you will design, automate, and scale the cloud infrastructure for their AI-first platform. This hands-on role involves building and optimizing multi-cloud systems (AWS/GCP), implementing infrastructure as code, and managing Kubernetes clusters and CI/CD pipelines. You will also focus on cloud cost optimization and support LLMOps/MLOps deployments, ensuring efficient and secure AI workloads in a fast-paced, 0→1 environment.
Good To Have:
  • 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.
Must Have:
  • 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.
  • Hold an AWS Certification: DevOps Engineer Professional or Solutions Architect Professional.
  • Possess hands-on expertise with AWS and GCP, including IAM/RBAC and cross-account roles.
  • Have strong experience with infrastructure as code: Terraform, CloudFormation.
  • Demonstrate proven skills in cloud cost optimization (RIs, Savings Plans, spot).
  • Show a solid background in Kubernetes, Docker, and microservices orchestration.
  • Be proficient in Python or Go automation.
  • Have experience with LLMOps/MLOps deployments (pipelines, RAG systems).
Perks:
  • Opportunity to build a category-defining product from scratch (Zero to One).
  • 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.

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docker
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kubernetes
slack
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github-actions

About the Company

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.

About the Job

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.

What You’ll Do

  • 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.

What You Bring

  • 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.

Why Join BLOCKS

  • 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.

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