Monitoring / AIOps Engineer

 

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 Interview – Client Interview – Decision