Jobs at Xebia

Build, maintain, and support secure, automated, scalable Google Cloud environments. Implement Infrastructure as Code with Terraform, maintain CI/CD pipelines, handle L1/L2 support and incident response, drive observability, and manage containerized workloads on GKE. Participate in on-call rotations and collaborate with teams to troubleshoot and improve platform health.

Design and build executive Power BI dashboards, gather stakeholder requirements, translate complex data into actionable insights, build/optimize data models, analyze marketing campaign performance, ensure data quality and governance, and provide data-driven recommendations to leadership.

Own the end-to-end product lifecycle for ML-powered scoring within Sponsored Offers. Define product vision, strategy, and measurable outcomes; lead discovery and prioritize opportunities; coordinate Product, Data Science, Engineering, and business stakeholders; optimize roadmaps, define success metrics, and use AI-assisted techniques to accelerate decisions and improve outcomes.

Lead business analysis for large, complex IT projects across the full SDLC. Define BA approach, align solutions with business goals, coordinate stakeholders, shape technically feasible solutions with UX, architects and developers, manage dependencies, and drive delivery plans and roadmaps.

Design, build, and operate an ML platform on GCP (Vertex AI). Develop and automate ML pipelines, provision infra with Terraform, create CI/CD workflows with GitHub Actions, build production Python APIs, implement model monitoring and observability, and support GPU-based training in HPC/Slurm environments.

Lead product ownership for an internal developer platform: define vision and roadmap, translate developer needs into platform capabilities, prioritise backlog, drive discovery and MVPs, collaborate with engineering on architecture (scalability, resilience, security, observability, multi-tenancy), and improve developer experience and operational workflows.

Prepare and consolidate cash reports, support short-term cash forecasting and variance analysis, maintain treasury reports and documentation, assist implementation of a Treasury Management System (data validation, testing, process mapping), coordinate AML/KYC requests and renewals, support bank account administration and signatory records, and drive process improvements toward system-based treasury workflows.

Develop and maintain cross-platform React Native mobile apps for iOS and Android, implement features, integrate APIs and third-party services, optimize performance and UX, manage CI/CD with GitHub Actions, handle code signing and app store releases, and collaborate with product, design, backend and QA teams.

Maintain and scale production data ingestion pipelines processing billions of events, support and optimize complex ETL and streaming workflows, develop platform tools and ML/streaming initiatives, ensure reliability/observability, and assist data scientists and analysts with production workloads.

Design and build scalable .NET-based web applications and microservices, create architecture and system components, work with relational and NoSQL databases, deploy on Azure or AWS, use containerization and DevOps practices, collaborate in agile teams and participate in technical workshops and client engagements.

Lead AI adoption and enablement for engineering teams via workshops, training, demos, and pair-programming. Design and implement AI-augmented SDLC workflows, evaluate AI tools and agents, create playbooks and best practices, and advise engineering leaders combining strategic consulting with hands-on technical delivery.

Own and operate large-scale data and feature pipelines for recommendation and advertising ML systems. Ensure reliable ingestion and processing of billions of events with monitoring, data-quality checks, and backfills. Troubleshoot production issues, support Data Scientists and Analysts, maintain documentation and runbooks, and drive pipeline/platform improvements.

The Senior Program Manager will lead complex software programs, oversee delivery, manage risks, and build strong client relationships while mentoring teams.

Develop and validate Java-based integration solutions; reproduce, debug, and migrate the ClickHouse JDBC connector (v1 to v2); fix Kerberos/GSS authentication for Tableau Desktop and Server; test across Windows, VPN and Tableau environments; package and sign connector releases; troubleshoot integration issues and collaborate with stakeholders.

Work with Design, Product, Experimentation, and Engineering teams to conduct UX discovery, run stakeholder workshops, craft UX/UI across complex multi-product ecosystems, maintain the design system, use UX metrics for data-driven decisions, and promote design-led business outcomes.

Design, build, and productionize scalable ML solutions and platforms: convert research code to reusable Python packages, implement experiment tracking and versioning, create distributed training and deployment pipelines, enable monitoring and automated retraining, enforce ML lifecycle governance, and collaborate with cross-functional teams to deliver secure, production-ready ML systems.

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.

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.

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.