Jobs at Xebia

Lead discovery workshops, elicit and document business requirements, map cross‑country processes, maintain prioritized Agile backlog with user stories and acceptance criteria, define MVP scope and roadmaps, and support UAT and requirements traceability.

Develop and maintain modern Angular web applications, implement new features, improve existing functionality, write clean testable code, collaborate with cross-functional teams, participate in architecture and technical discussions, and apply NX, Jest, microfrontend patterns, Angular CDK/Signals and AI-assisted tools to improve delivery.

Lead business analysis and product-owner activities for large, complex IT projects: define analytical approaches, translate business objectives into requirements, run workshops, coordinate UX/engineering, create maintainable documentation, support SDLC delivery, mentor analysts, and drive adoption of AI-assisted analysis and GenAI practices.

The role involves participating in pre-sales processes, designing cloud architectures, managing proposals, and collaborating with sales teams, requiring extensive experience in software development and cloud architectures.

The role involves designing and maintaining automated testing frameworks for web and backend applications, integrating tests into CI/CD pipelines, and conducting performance testing while collaborating with development teams.

Lead design and delivery of backend features using Java and Spring Boot, mentor engineers, improve engineering practices, and collaborate with teams for scalable solutions.

The role involves designing scalable IT architecture solutions, building infrastructure with Microsoft technologies, and collaborating with teams for cloud transformation while ensuring IT Security compliance.

The role involves managing and securing cloud and on-premise environments, with a focus on Azure operations and automation tasks.

The role involves designing and maintaining data pipelines using Python and PySpark, operating Delta Live Tables, optimizing SQL queries, and implementing data governance on Databricks, while collaborating with cross-functional teams.

The role involves developing cloud-based solutions, creating microservices, managing relational and non-relational databases, and collaborating with international teams in an agile environment.

Design, evolve and operate a multi-cloud platform across AWS and Azure; enable teams with self-service components and CI/CD golden paths; drive automation, cloud optimisation, security, FinOps and adoption of AI-enabled platform tooling.

Design and implement AWS cloud infrastructure, migrate workloads from Azure to AWS, build Terraform IaC, develop CI/CD with Harness, manage containerised and serverless workloads, improve reliability and observability, enforce cloud security and FinOps, automate operations, and collaborate with engineering teams while adopting AI-powered engineering practices.

Design, build, and optimize low-latency, high-throughput real-time data pipelines and event-driven architectures. Implement, monitor, and maintain streaming processing systems, ensure data quality and reliability, integrate multiple data sources, collaborate with platform and ML teams, support troubleshooting and operational excellence, and mentor junior engineers.

Design, build, and maintain Azure CI/CD pipelines and infrastructure; drive cloud migration and modernization; automate provisioning with Terraform; support .NET apps, Azure App Services/Functions, APIM and WAF; improve platform security, performance, and operational efficiency while collaborating with development and architecture teams.

Design, develop, and maintain backend applications using Java and Spring Boot. Build and enhance REST APIs, write clean tested code, contribute to CI/CD, and use AI-powered development tools to improve productivity.

The Senior Java Developer will enhance client experiences using Agile practices, develop solutions in Java and related frameworks, collaborate with teams, mentor others, and manage project risks while driving best engineering practices.

Lead the technical direction and architecture of a cloud-native, developer-focused platform. Collaborate with engineering teams to define platform capabilities, design developer workflows, and drive features like multi-tenancy, deployment pipelines, IAM, observability, and security. Contribute hands-on to code when needed, iterate rapidly in a product-minded environment, and help evolve platform tooling on Kubernetes and AWS to improve developer experience and platform adoption.

Design, build, and maintain automated test suites for web, mobile, and API services using Selenium and BDD (Cucumber). Develop and scale automation frameworks, perform API and database testing, integrate tests into CI/CD (Git, Gradle/Maven, Jenkins), manage test plans/cases, execute tests, report defects in Jira, and act as quality champion within agile squads.

Lead client discovery and presales, design and propose cloud data platform and lakehouse architectures (Databricks/Snowflake, Delta Lake/Iceberg), build prototypes, support migrations and integrations, apply GenAI/ML (LLMs, RAG, MLOps) and agentic data engineering, and act as technical escalation for delivery teams.

Design, build, and maintain scalable AWS-based data platforms and pipelines ingesting from DynamoDB, Aurora PostgreSQL, and Neptune; implement Iceberg-based S3 data lake zones; develop CDC and batch ingestion, Airflow orchestration, Glue Data Catalog integration, CI/CD, automated testing, and monitoring; optimize Iceberg table design and troubleshoot production issues.