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You will develop, enhance, and maintain multi-tenant backend services and APIs using Go, Kubernetes, and PostgreSQL. Additionally, you will design data models, manage integrations with SaaS systems, and ensure code quality through automated testing and architectural reviews.
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 Millennium, ING, Play, Edenred, Arabian Drilling, FedEx, Leroy Merlin, Truecaller, Volotea, Schmitz Cargobull, 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.
developing, enhancing, and maintaining multi-tenant backend services and APIs using Go (Golang), gRPC, Kubernetes, and PostgreSQL,
designing and optimizing data models, including canonical product data models, with a focus on performance and multi-tenancy,
designing APIs in accordance with Google AIP standards and architectural principles, ensuring scalability and proper multi-tenant support,
designing and presenting architectural changes through Architecture Decision Records (ADRs), following established guidelines and principles,
building and maintaining integrations between backend services and multiple SaaS systems, including product content management systems,
ensuring code quality through automated testing, code reviews, and adherence to engineering standards,
troubleshooting issues, optimizing performance, and providing L2 support for backend services,
collaborating with cross-functional teams in an agile development environment,
proactively monitoring service health, identifying and resolving production issues before they impact customers.
Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work.
CV review – HR call – Interview – Client Interview – Decision
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