Senior Database EngineerBulgaria; Moldavia; Poland; Romania
Senior Database Engineer
Hello, let’s meet!
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-driven solutions, and next-gen apps using ML, LLMs, and Generative AI. Our clients include Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, and Allegro or InPost.
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 run events like the Data&AI Warsaw Summit, 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.
About Project
This position is an exciting opportunity to own the full lifecycle (administration, automation, and troubleshooting) of our critical database systems operating within a large-scale, multi-tenant Kubernetes environment. You will be essential in driving our GitOps and Helm-centric deployment strategy, focusing on ensuring zero-downtime upgrades and maximizing performance and stability for our core platform services. This role offers the perfect opportunity to hone your skills and gain direct exposure to advanced cloud database architecture and container orchestration challenges.
You will be:
- designing, implementing, and maintaining database infrastructure using StatefulSets, Operators, and Helm charts to ensure databases are reliable, self-healing, and scalable,
- owning the deployment lifecycle for database clusters by managing version control for Helm charts and configuration templates,
- supporting and administering production database systems by proactively instrumenting and monitoring performance, security, and availability within the containerized environment,
- performing zero-downtime upgrades and migrations for major and minor releases, developing and maintaining Helm hooks and custom scripts to automate complex stateful operations,
- managing and optimizing performance for backend data stores, ensuring data consistency and integrity across pod life cycles,
- developing and maintaining automation tools and scripts (Bash, Python) specifically focused on simplifying Kubernetes management tasks, such as provisioning users/secrets and monitoring cluster state.
Your profile:
- 4+ years of experience managing large-scale, high-availability database systems (PostgreSQL / MongoDB),
- experience with Python or Bash automation scripting,
- proven experience with Kubernetes & Helm.
- good verbal and written communication skills in English (min. B2+).
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.
Work from the European Union region and a work permit are required.
Candidates must have an active VAT status in the EU VIES registry: https://ec.europa.eu/taxation_customs/vies/
Nice to have:
- knowledge of advanced PostgreSQL HA concepts (e.g., streaming replication, Repmgr/Patroni) and/or MongoDB sharding and replication,
- experience with AWS, GCP, or Azure,
- experience in using version control systems, configuration management tools and IaaC such as Terraform, CloudFormation,
- experience using database tools such as pgAdmin, Pgbench, Robo3t, Studio3t, MongoDB Ops Manager and Mongo mirror,
- experience with prometheus, cloudwatch and monitoring tools both within kubernetes and external cloud managed infrastructure.
Recruitment Process
CV review – HR call – Technical Interview – Client Interview – Hiring Manager Interview – Decision
Apply for this job
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indicates a required field
Evaluate your proficiency in each of the following on a scale of 1 to 5:
- PostgreSQL
- MongoDB
- Python
- Kubernetes
- Helm
- Cloud (which one?)
Legend:
1 - Beginner (basic knowledge, limited practical experience)
2 - Junior (some practical experience, still learning)
3 - Intermediate (comfortable using it independently in projects)
4 - Advanced (deep understanding, can optimize and solve problems)
5 - Expert (can mentor others, design complex solutions)
