Automation Lead Engineer - future opening

Location: Bulgaria; Romania

Department: Delivery

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:

• designing and implementing automations for recurring incidents, service requests, and operational processes,
• transforming manual operational tasks into scalable and governed automated workflows,
• collaborating with Platform Operations, SRE, and Service Management teams to identify automation opportunities,
• developing and maintaining Infrastructure-as-Code solutions and deployment automation,
• improving monitoring, alerting, and operational visibility to enhance service reliability,
• contributing to self-healing, auto-remediation, and continuous improvement initiatives,
• applying software engineering best practices, including testing, version control, and code reviews,
• creating reusable automation frameworks and mentoring engineers through knowledge sharing,

 

Your profile:

• at least 5 years of experience in Automation Engineering, DevOps, Platform Engineering, SRE, Cloud Engineering, or a similar role,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery,
• strong experience with Python, Infrastructure as Code, cloud platforms, CI/CD, Kubernetes, and observability,
• hands-on experience with Infrastructure as Code tools such as Terraform, Ansible, or equivalent,
• experience working with AWS, Azure, or Google Cloud Platform,
• understand CI/CD pipelines, deployment automation, and modern platform engineering practices,
• experience with Kubernetes and containerized environments,
• understand monitoring, observability, and incident management principles,
• apply software engineering best practices, including testing, version control, and peer reviews,
• demonstrate strong problem-solving and analytical skills,
• communicate effectively and collaborate well with cross-functional teams,
• a proactive mindset and a passion for improving operational efficiency through automation,
• good English communication skills (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.

 

 

Recruitment Process:

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