Xebia Poland

QA Engineer

• designing, implementing, and maintaining automated test solutions for web and backend systems
• developing and evolving test automation frameworks using modern tools and technologies
• planning, structuring, and designing test scenarios and test cases based on business and technical requirements
• automating backend/API tests
• actively participate in the full Software Development Life Cycle (SDLC)

Senior QA Automation, Java

• Developing and maintaining automated tests for frontend and backend applications
• Performing manual testing when necessary to ensure product quality
• Designing and implementing test automation frameworks
• Collaborating closely with developers, QA, and DevOps teams
• Integrating automated tests into CI/CD pipelines
• Ensuring high quality of web applications through comprehensive testing strategies

QA Automation, C#

Cloud Engineer

• designing and administering SQL Server databases in AWS environments (RDS, EC2)
• planning and executing database migrations from on-premise to AWS using tools such as AWS DMS
• ensuring database performance, security, and compliance with client standards
• resolving compatibility issues during migration and upgrade processes
• supporting CI/CD database deployments using tools such as GitLab and Flyway
• monitoring database performance and troubleshooting issues
• collaborating with cross-functional teams in Agile/Kanban environments.

Senior SQL Server DBA – AWS, Cloud Migration

• designing, developing and maintaining automated tests using Cypress
• performing manual testing for web and mobile applications
• creating and maintaining BDD test scenarios using Cucumber
• executing API testing using Postman
• validating data and performing checks using database queries
• collaborating with development teams to ensure high-quality releases
• integrating automated tests into CI/CD pipelines
• participating in test planning, test case design, and defect tracking
• ensuring test coverage across different platforms and devices.

QA Automation, Manual Testing – Cypress

• designing, implementing, and maintaining automated test solutions for web and backend systems
• developing and evolving test automation frameworks using modern tools and technologies (e.g. Playwright, API testing libraries)
• planning, structuring, and designing test scenarios and test cases based on business and technical requirements
• automating backend/API tests using tools such as RestAssured, RestSharp, or similar libraries
• testing and validating solutions built on Salesforce and collaborate closely with development teams working in this ecosystem
• actively participate in the full Software Development Life Cycle (SDLC), including requirements analysis, refinements, reviews, and retrospectives.

QA Automation – Salesforce

DevOps Engineer

• building and supporting tools, processes, and infrastructure that enable faster and higher-quality software delivery and scaling
• ensuring the availability, reliability, and scalability of application infrastructure
• building and supporting continuous integration, delivery, and release pipelines
• ensuring the right metrics are collected, monitored, and actionable

Senior Site Reliability Engineer – AWS, AI

Backend Engineer

• designing, developing, and maintaining Perl applications
• contributing across the full software development lifecycle
• writing clean, well-structured, and testable code
• developing and integrating JSON/XML APIs
• collaborating with cross-functional teams
• working with Relational Databases and ORM
• participating in CI/CD and testing processes

Perl Developer

• Building and supporting the tools, processes and infrastructure empowering the faster delivery and scaling of software iterations
• Ensuring availability, reliability and scalability of application infrastructure
• Building and supporting continuous integration/delivery and release tools
• Ensuring the right metrics are collected and monitored.

Senior AWS DevOps Engineer, SRE, AI

• Own the full lifecycle of critical database systems in a large-scale Kubernetes environment
• Drive GitOps and Helm-centric deployment strategy for zero-downtime upgrades
• Design, implement, and maintain database infrastructure using StatefulSets and Operators
• Manage version control for Helm charts and configuration templates
• Proactively monitor performance, security, and availability of production systems
• Develop automation tools and scripts (Bash, Python) for Kubernetes management tasks

Senior Database Engineer

Analyst

• serving as a Data Quality specialist supporting governance and analytics teams
• designing, developing, and maintaining Data Quality checks and controls
• contributing to the selection and optimization of Data Quality tools
• translating business and governance requirements into Data Quality implementations
• proactively monitoring Data Quality results and execution logs
• initiating and coordinating Data Quality resolution activities
• performing impact analysis and ensuring lineage metadata availability
• ensuring quality assurance and adherence to defined standards
• collaborating with Data Governance, Data Modeling, Architecture, and QA teams
• providing training and guidance to stakeholders
• supporting releases of Data Quality solution components
• participating in Agile delivery processes

Data Quality Analyst

Risk

• serving as a Data Governance specialist supporting business and technical teams
• building and maintaining Data Governance artefacts such as Business Glossary and Data Dictionary
• supporting Data Quality and Reference Data Management initiatives
• providing guidance to stakeholders on Data Governance standards, policies, and best practices
• supporting data-related initiatives across the organization

Data Governance Consultant

Infrastructure Engineer

• Serving as the infrastructure and cloud deployment expert for client teams and the client’s DevOps organization.
• Building and managing secure air-gapped deployments of client products.
• Providing guidance to client teams on cloud architecture and GPU infrastructure.
• Supporting business development and client enablement by actively participating in technical discussions.

Senior Cloud & Infrastructure Engineer – KSA Engagement

• Serving as the infrastructure and cloud deployment expert for client teams
• Building and managing air-gapped deployments of client products
• Providing guidance to client teams on cloud architecture and GPU infrastructure
• Supporting business development and client enablement by participating in and contributing to technical discussions

Senior DevOps, Cloud & Infrastructure Engineer

Technical Product Manager

• Driving the delivery of Salesforce CRM capabilities across multiple agile teams
• Collaborating closely with Salesforce Tech Leads, Business Analysts, Developers, and QA teams
• Translating business requirements into technical epics, user stories, and acceptance criteria
• Ensuring alignment between Salesforce implementation and the broader transformation program
• Providing expertise in Salesforce Data Services, Sales Cloud, Service Cloud, and Data Cloud
• Ensuring data-driven processes through accurate data ingestion, validation, enrichment, and utilisation
• Supporting data governance, compliance, and GDPR alignment
• Partnering with Technology Leads on system analysis, integration design, configuration, and architecture decisions
• Acting as the key interface between business stakeholders and Salesforce technical teams
• Communicating product roadmap, timelines, risks, and dependencies across stakeholders

Technical Product Owner

• Designing, implementing, and maintaining automated test solutions for web and backend systems
• Developing and evolving test automation frameworks using modern tools and technologies (e.g. Playwright, API testing libraries)
• Planning, structuring, and designing test scenarios and test cases based on business and technical requirements
• Automating backend/API tests using tools such as RestAssured, RestSharp, or similar libraries
• Testing and validating solutions built on Salesforce and collaborating closely with development teams working in this ecosystem
• Actively participating in the full Software Development Life Cycle (SDLC), including requirements analysis, refinements, reviews, and retrospectives.