Infrastructure Engineer

Posted Yesterday
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4 Locations
Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
Designs, builds, and maintains reliable, scalable, secure infrastructure services. Develops automation and tooling, manages cloud and Kubernetes environments, improves performance and resilience, monitors system health, and leads incident investigation and root cause analysis. The role contributes to observability, alerting, capacity planning, infrastructure architecture, continuous delivery, and lifecycle management while collaborating with application teams. Required expertise includes Linux, GCP or equivalent cloud platforms, Docker, Kubernetes, distributed systems, infrastructure automation, monitoring, cloud security, and incident management.
Summary Generated by Built In

 

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 17 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. 

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. 

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as ING, Millenium Bank, Play, Wavin, Arabian Drilling, FedEX, Leroy Merlin, Edenred, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing

 



You will be:
  • designing, building, and maintaining reliable, scalable, and secure infrastructure services,

  • developing automation and tooling to simplify infrastructure provisioning, management, and scaling,

  • improving infrastructure performance, availability, and resilience as systems and business needs evolve,

  • monitoring system health, identifying potential issues, and implementing improvements to ensure service reliability,

  • investigating infrastructure incidents, performing root cause analysis, and driving corrective actions,

  • collaborating with application development teams on monitoring, capacity planning, and infrastructure improvements,

  • implementing effective observability, alerting, and incident management practices,

  • contributing to infrastructure architecture decisions and continuous improvement initiatives.

Your profile:
  • have extensive experience in Linux system administration, preferably in high-throughput and low-latency environments,
  • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
  • have strong hands-on experience with GCP services, particularly networking, IAM, compute, storage, and Kubernetes, or transferable experience with AWS or Azure,
  • have extensive practical knowledge of Docker and Kubernetes, including deploying, scaling, and monitoring Kubernetes clusters,
  • understand distributed systems architecture and the challenges of operating services across processes and geographical locations,
  • have hands-on experience with service orchestration, deployment, configuration management, and infrastructure automation,
  • understand process isolation, containerization, and container orchestration concepts,
  • have experience with monitoring and observability tools such as Prometheus, Grafana, Stackdriver, Datadog, or New Relic,
  • have practical experience with incident management, troubleshooting, root cause analysis, and improving system reliability,
  • understand cloud security best practices, secrets management, and basic compliance requirements,
  • have a good understanding of the software development lifecycle, including version control, building, testing, staging, and deployment,
  • have a strong Continuous Delivery mindset and understand infrastructure lifecycle management,
  • work from the European Union region and a work permit are required.
Nice to have:
  • have experience developing and maintaining Kubernetes operators,
  • have experience deploying and scaling distributed databases and data stores such as Apache Cassandra, ScyllaDB, MySQL, PostgreSQL, Redis, or Memcached,
  • have experience with Go or a strong willingness to learn it for developing and improving Kubernetes operators,
  • experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work,
  • interest in and familiarity with emerging AI-driven practices (e.g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches.


Recruitment Process:

CV review – HR call – Interview – Client Interview – Decision


Skills Required

  • Extensive experience in Linux system administration, preferably in high-throughput and low-latency environments
  • Practical experience using AI-powered assistants such as Claude Code, GitHub Copilot, or Cursor
  • Strong hands-on experience with GCP services, particularly networking, IAM, compute, storage, and Kubernetes, or transferable AWS or Azure experience
  • Extensive practical knowledge of Docker and Kubernetes, including deploying, scaling, and monitoring Kubernetes clusters
  • Understanding of distributed systems architecture and operating services across processes and geographical locations
  • Hands-on experience with service orchestration, deployment, configuration management, and infrastructure automation
  • Understanding of process isolation, containerization, and container orchestration
  • Experience with monitoring and observability tools such as Prometheus, Grafana, Stackdriver, Datadog, or New Relic
  • Experience with incident management, troubleshooting, root cause analysis, and improving system reliability
  • Understanding of cloud security best practices, secrets management, and basic compliance requirements
  • Good understanding of the software development lifecycle, including version control, building, testing, staging, and deployment
  • Strong Continuous Delivery mindset and understanding of infrastructure lifecycle management
  • Work from the European Union region and a valid work permit
  • Experience developing and maintaining Kubernetes operators
  • Experience deploying and scaling distributed databases and data stores such as Apache Cassandra, ScyllaDB, MySQL, PostgreSQL, Redis, or Memcached
  • Experience with Go or willingness to learn Go for Kubernetes operator development
  • Experience applying GenAI in structured software development lifecycle workflows
  • Familiarity with emerging AI-driven practices, including agent-based workflows, automation patterns, and AI-augmented development

Xebia Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Xebia and has not been reviewed or approved by Xebia.

  • Healthcare Strength — U.S. offerings include health, dental, and vision insurance alongside an Employee Assistance Program, strengthening total compensation where available.
  • Leave & Time Off Breadth — Vacation/PTO and paid holidays, with mentions of parental leave in certain regions, broaden time-off options and support work-life balance.
  • Retirement Support — A U.S. 401(k) plan with matching is noted, enhancing long-term financial benefits as part of total rewards.

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The Company
HQ: Atlanta
3,254 Employees
Year Founded: 2001

What We Do

We are a pioneering IT consultancy company, following 1 mission, 4 values, and 4 business principles. WHO WE ARE With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation. Founded in 2001, Xebia was the first Dutch organization to embrace the Agile way of working, with gurus like Jeff Sutherland. Since then, we have grown from a Java company into a full-service digital consulting company with 4500+ professionals working on a worldwide ambition. We are organized in complementary chapters – teams with a tremendous amount of knowledge and experience within a particular field, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Low Code, and Microsoft. We help the world’s top 250 companies and category leaders overcome digital challenges, embrace innovation, adopt new technology, and implement new business models. In addition to high-quality consulting, we also provide offshoring and nearshoring services. WHAT WE DO ★ Digital Strategy ★ DevOps and SRE ★ Agile ★ Data and AI ★ Cloud ★ Microsoft Solutions ★ Software Technology ★ Security ★ Low Code ★ Xebia Academy HOW WE ARE ORGANIZED Xebia has launched specific labels, like GoDataDriven, Binx, Xpirit, Qxperts, Stackstate, Instruqt, Xccelerated, and Xebia Academy Complementing our organic growth, other specialized companies join our successful journey and also operate within the Xebia network under their own brand name, like Appcino, coMakeIt, g-company, Oblivion, PGS Software, and SwissQ. Together we are Xebia. With 17 offices in Atlanta, San Francisco, UK, Vietnam, Canada, Amsterdam, and Hilversum (the Netherlands), Belgium, Germany, Gurgaon, Jaipur, Hyderabad, Pune, Bangalore, Poland, Melbourne, Mexico, and Dubai. ✉️ [email protected]

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