Monitoring / AIOps Engineer

Reposted Yesterday
Be an Early Applicant
2 Locations
Remote
Mid level
Artificial Intelligence • Cloud • Information Technology • Software • Consulting • Data Privacy
The Role
The Monitoring/AIOps Engineer will enhance monitoring configurations, tune alerts, support AI deployment, and collaborate with SRE teams to improve observability while documenting standards.
Summary Generated by Built In

Who We Are

While Xebia is a global tech company, our journey in CEE started with two Polish companies – PGS Software, known for world-class cloud and software solutions, and GetInData, a pioneer in Big Data. Today, we’re a team of 1,000+ experts delivering top-notch work across cloud, data, and software. And we’re just getting started.

What We Do

We work on projects that matter – and that make a difference. From fintech and e-commerce to aviation, logistics, media, and fashion, we help our clients build scalable platforms, data and AI solutions, and cutting-edge applications to shape the future of tech. Our clients include McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more.

We value smart tech, real ownership, and continuous growth. We use modern, open-source stacks, and we’re proud to be trusted partners of Databricks, dbt, Snowflake, Azure, GCP, and AWS. Fun fact: we were the first AWS Premier Partner in Poland!

Beyond Projects

What makes Xebia special? Our community. We support tech communities, organize meetups (Software Talks, Data Tech Talks), and have a culture that actively support your growth via Guilds, Labs, and personal development budgets — for both tech and soft skills. It’s not just a job. It’s a place to grow.

What sets us apart? 

Our mindset. Our vibe. Our people. And while that’s hard to capture in text – come visit us and see for yourself.


You will be:
  • maintaining and improving monitoring configurations across Datadog, Splunk, and AppDynamics,
  • building and tuning alerting rules to reduce noise and improve signal quality,
  • creating and maintaining SLO-based dashboards and service health reporting,
  • implementing log aggregation, metric collection, and distributed tracing pipelines,
  • supporting deployment and tuning of AI-powered correlation and anomaly detection agents,
  • collaborating with SRE Engineering teams on observability maturity progression initiatives,
  • automating monitoring onboarding for new applications,
  • providing CET-timezone monitoring engineering coverage as part of the European delivery model,
  • participating in capacity planning and performance trending analysis,
  • documenting monitoring standards and contributing to the internal knowledge base.
Your profile:
  • 3–5 years of experience in monitoring, observability, or AIOps engineering,
  • practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery, 
  • hands-on experience with Datadog, Splunk, or similar observability platforms,
  • experience working with metrics, logs, and tracing pipelines using tools such as Prometheus, Grafana, ELK, or OpenTelemetry,
  • understanding of SLI/SLO/SLA frameworks,
  • proficiency in scripting languages such as Python or Bash for automation,
  • experience with cloud-native monitoring in AWS, Azure, or GCP environments,
  • knowledge of alert correlation and noise reduction techniques,
  • good English communication skill (at least B2 level).

Work from the European Union region and a work permit are required.

Nice to have:
  • 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,
  • experience with AIOps platforms or ML-based anomaly detection,
  • familiarity with monitoring-as-code approaches using Terraform or Ansible,
  • knowledge of distributed tracing tools such as Jaeger, Zipkin, or OpenTelemetry,
  • experience in large-scale, multi-cloud environments.


Recruitment Process:

CV review – HR call – Technical InterviewClient Interview – Decision


Skills Required

  • 3-5 years of experience in monitoring, observability, or AIOps engineering
  • practical experience using AI-powered assistants to improve productivity in software delivery
  • hands-on experience with Datadog, Splunk, or similar observability platforms
  • experience with metrics, logs, and tracing pipelines using Prometheus, Grafana, ELK, or OpenTelemetry
  • understanding of SLI/SLO/SLA frameworks
  • proficiency in scripting languages such as Python or Bash
  • experience with cloud-native monitoring in AWS, Azure, or GCP environments
  • knowledge of alert correlation and noise reduction techniques
  • good English communication skills (at least B2 level)

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.

Xebia Insights

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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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