Xebia
Technology
AutomationEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Automation Engineer at Xebia. Skills: Automation engineering, DevOps, Cloud automation, CI/CD. Analyse incident trends. Assess toil”
What You'll Achieve.
Identify automation candidates; Prioritise automation backlog; Deliver automation workflows; Implement governance controls; Measure automation outcomes; Report automation outcomes; Ensure reliability standards; Ensure security standards; Deliver against automation targets
Industry & Context.
Root cause analysis; Troubleshooting; Decision making
Work permit required, Work from EU region
What They're Looking For.
Must Have
3 - 6 years experience, Automation engineering experience, DevOps experience, Infrastructure automation experience, Practical AI assistant experience, Python programming skills, Ansible programming skills, CI/CD pipeline experience, Cloud automation technologies experience, ITSM platforms integration experience, ServiceNow APIs experience, Workflow automation experience, Change management processes understanding, Governance frameworks understanding, Version control systems proficiency, Git proficiency, Code review best practices, Good English communication skill
Nice to Have
GenAI application experience, Emerging AI-driven practices familiarity, Kubernetes operators experience, Custom controllers experience, ChatOps familiarity, Self-service automation patterns familiarity, SRE practices knowledge, Toil elimination methodologies knowledge, Managed services experience, Large-scale operations experience, AIOps exposure, ML-driven automation prioritisation exposure
What You'll Do.
Analyse incident trends
Identify automation candidates
Prioritise automation backlog
Build automation workflows
Develop self-service runbook automations
Integrate automations with ServiceNow
Integrate automations with CI/CD pipelines
Implement governance controls
Approve low-risk automations
Notify for medium-risk changes
Approve high-risk automations
Measure automation outcomes
Report automation outcomes
Collaborate with SRE teams
Collaborate with Platform teams
Maintain automation code
Deliver against automation targets
Support Automation Factory pipeline
How You'll Work.
Team & Collaboration
SRE teams; Platform teams
Communication Scope
English communication
Process & Methodology
Prioritisation, Backlog management
Full Job Description
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: analysing incident trends, toil assessments, and recurring patterns to identify automation candidates, prioritising the automation backlog using ROI-based scoring models, considering effort saved, frequency, and risk level, building automation workflows using Ansible, Python, and cloud-native tools such as AWS Lambda, Azure Functions, Google Cloud Functions, developing self-service runbook automations integrated with ServiceNow and CI/CD pipelines, implementing governance controls, including pre-approved
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