Xebia

Technology

AutomationEngineer

$130–185k ~AI est. Poland Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“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.

Technology
Problems you'll solve

Root cause analysis; Troubleshooting; Decision making

Eligibility Requirements

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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