Platform Engineer

Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions.

We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture.

In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing.

About project:

We are looking for Integration & Platform Engineers to join a project delivered for our international client, an independent research institute that effectively bridges academia, business, and the public sector. The organization supports enterprises and government institutions in designing and implementing technological innovations across a wide range of domains—from green energy solutions to cybersecurity. By partnering with the organization, clients accelerate the commercialization of advanced technologies, solve complex engineering challenges, and develop solutions that support long-term, sustainable growth.

This role is a great opportunity to work on modern integration platforms and cloud-based solutions supporting research, innovation, and digital transformation initiatives. You will contribute to the configuration, integration, and continuous improvement of Azure-based services, APIs, and platform components while helping establish reliable, secure, and well-documented operational environments.

The project combines cloud technologies, API integration, platform engineering, automation, and operational excellence within a collaborative international environment. You will work closely with architects, software engineers, platform specialists, and business stakeholders to deliver scalable and maintainable integration solutions.

You will be:

• configure and maintain Azure platform services supporting modern integration solutions,
• design, implement, and maintain REST API integrations between internal and external systems,
• configure and support MCP Servers and related platform components,
• develop and maintain connectors enabling seamless integration across multiple services,
• implement monitoring, logging, and observability solutions using Azure Monitor, Application Insights, or equivalent technologies,
• create and maintain operational documentation, including runbooks, service catalogues, and change records aligned with ITIL practices,
• develop automation scripts and supporting tools using Python and/or TypeScript,
• implement and maintain automated testing for integration and platform components,
• collaborate with architects, developers, platform engineers, and business stakeholders to deliver reliable integration solutions,
• support troubleshooting, incident resolution, and continuous improvement of platform services,
• contribute to engineering standards, operational best practices, and platform modernization initiatives,
• depending on seniority, take ownership of technical areas, support architectural decisions, and mentor less experienced team members,

Your profile:

• commercial experience in integration engineering, platform engineering, cloud engineering, or similar technical roles,
• strong experience configuring and managing Microsoft Azure platform services,
• practical experience with Azure API Management and API lifecycle management,
• strong experience designing and implementing REST API integrations,
• experience configuring MCP Servers and developing integration connectors,
• practical experience implementing monitoring and observability solutions using Azure Monitor, Application Insights, or equivalent platforms,
• experience creating operational documentation aligned with ITIL practices, including runbooks, service catalogues, and change records,
• good programming skills in Python and/or TypeScript,
• experience implementing automated testing for integration or platform solutions,
• strong understanding of cloud-native integration patterns and modern software engineering practices,
• excellent communication and collaboration skills in international engineering environments,
• strong analytical and problem-solving skills,
• experience working within Agile delivery environments,
• practical experience using AI-powered assistants (e.g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery.

Work from the European Union region and a work permit are required.

Nice to have:

• experience working with enterprise integration platforms and API ecosystems,
• familiarity with cloud-native architecture and distributed systems,
• experience supporting research, public sector, or innovation-focused organizations,
• knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code,
• 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 – Interview – Client Interview – Decision