Senior DevOps Engineer - full remote

IT.HR Recruitment Agency; Deutschland; Remote; GBP 120.000 - 160.000; Vollzeit

Benefits dieser Stelle

Remote work in Europe

Flexible hours

Hybrid office options

Development program

Health insurance

Food vouchers

Team events

Zusammenfassung

Our Client is seeking a Senior DevOps Engineer specializing in AI and Data to architect and maintain scalable cloud infrastructure for large-scale AI/ML workloads. You will deploy and manage production-grade environments, focusing on automation, security, and governance across platforms.

Key responsibilities include IaC with Terraform, robust CI/CD pipelines, and Kubernetes management for data processing and GPU workloads.

Qualifikationen

• 5+ years in DevOps, SRE, or cloud engineering for production systems.
• Hands-on with major cloud providers (AWS, Azure, or GCP).
• Expert Kubernetes administration for high-performance workloads.
• Terraform for IaC provisioning and state management.
• Experience designing CI/CD pipelines (Azure DevOps, GitHub Actions, or GitLab).
• Data/ML tooling experience (Spark, Airflow, Databricks).
• Scripting in Python or Bash for automation.
• Experience with observability stacks (Prometheus, Grafana, ELK).

Aufgaben

• Design, build, and maintain scalable cloud infrastructure for AI/ML workloads.
• Automate ML lifecycle infrastructure end-to-end.
• Develop and manage IaC with Terraform.
• Create and enhance CI/CD pipelines for code, models, and infra changes.
• Manage Kubernetes clusters for data processing and GPU workloads.
• Establish monitoring, logging, and alerting for platforms.
• Implement security measures and governance across environments.
• Collaborate with data scientists, AI engineers, and software teams.

Kenntnisse

DevOps

SRE

Cloud engineering

Kubernetes

Terraform

CI/CD

Python Bash

Monitoring

Tools

Terraform

Jobbeschreibung

Our Client is a long-established and highly-regarded Central and Eastern European technology provider specialising in designing, building, and operating advanced, mission-critical software solutions for large international organisations. With over 25 years of history and a team of 600+ top-tier software engineers across Europe, they are a certified partner for high-stakes industries including Aerospace & Defence, Automotive, Telecommunications, and Financial Services. They hold rigorous quality and security certifications such as NATO AQAP and TISAX.

Responsibilities

As a Senior DevOps Engineer specialising in AI and Data, you will be key to architecting and maintaining the infrastructure that supports large-scale AI/ML workloads. Your main responsibilities will be:

• Platform Deployment and Management: Design, build, and maintain scalable and secure cloud infrastructure for AI and Big Data solutions, ensuring high availability and performance in a production environment.
• AI/ML Infrastructure Automation: Implement end-to-end automation for the complete Machine Learning (ML) lifecycle , including infrastructure for model training, real-time inference, and data processing.
• Infrastructure as Code (IaC): Develop, manage, and optimise Infrastructure as Code (IaC) using tools like Terraform to provision and configure cloud resources consistently and efficiently.
• CI/CD Pipeline Development: Create, manage, and improve robust Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable rapid and safe deployment of code, models, and infrastructure changes.
• Kubernetes for AI/Data: Manage and optimise Kubernetes clusters (e.g., AKS, EKS, or GKE) specifically tailored for running containerised data processing frameworks and GPU-enabled ML workloads at scale.
• Monitoring and Observability: Establish advanced monitoring, logging, and alerting systems to ensure the health, performance, and cost efficiency of the data and AI platforms.
• Security and Governance: Implement security measures, access controls, and compliance frameworks to ensure data privacy, model governance, and adherence to security best practices across all environments.
• Cross-Functional Collaboration: Work closely with Data Scientists, AI Engineers, and Software Development teams to translate complex AI requirements into robust, deployable infrastructure solutions.

Requirements

• Proven DevOps Experience: Strong professional background (5+ years) in a DevOps, SRE, or Cloud Engineering role, focusing on mission-critical production systems.
• Cloud Platform Expertise: Extensive, hands-on experience with at least one major cloud provider ( AWS, Azure, or GCP ), particularly related to infrastructure and networking.
• Kubernetes for Production: Expert-level knowledge of Kubernetes administration, operation, and optimisation for high-performance workloads, including scaling and resource management.
• Infrastructure as Code (IaC): Deep practical experience with Terraform for infrastructure provisioning and state management.
• CI/CD Systems: Proficiency in designing and managing automated CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, or GitLab CI).
• Data/ML Tooling: Experience with tools and frameworks commonly used in the Data/AI domain, such as Apache Spark, Apache Airflow, Databricks , or specific AI/ML tooling infrastructure.
• Scripting: Solid proficiency in scripting languages like Python or Bash for automation, testing, and system integration.
• Monitoring: Experience implementing and working with observability stacks (e.g., Prometheus, Grafana, ELK stack, or cloud-native monitoring).

Our Client Offers

Our Client is committed to supporting your professional journey with a competitive package designed for growth, flexibility, and well-being.

• 100% Remote Work Option within Europe, providing ultimate work-life flexibility.
• Flexible Working Hours and a hybrid work model , supported by modern office hubs across Europe.
• Personalised Development Program and access to dedicated mentorship and coaching from domain experts to accelerate your career growth.
• Comprehensive Benefits Package , including additional health insurance and food vouchers .
• The chance to take full ownership and make a tangible impact on mission-critical, cloud-native solutions.
• A supportive, collaborative team culture with regular social events and team-building activities.

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