Manage and maintain Microsoft enterprise workloads including Dynamics 365, SharePoint, and Windows Server environments. Ensure system stability, security compliance, and support deployments through automation and CI/CD workflows.
The Platform Engineer will design, build, and maintain development, testing, and production environments while ensuring reliable software delivery. They will also implement automation, manage infrastructure as code, and monitor system performance to drive continuous improvement.
Design and implement a self-service golden path for cloud platform consumption using Terraform and automation. Establish controlled build, test, release, and promotion mechanisms while documenting maintenance and support models.
Develop and manage data integration and transformation processes using Oracle Data Integrator. Collaborate with a dynamic team to support regulatory reporting projects within the financial sector.
The Systems Administrator will manage and monitor Linux and Windows Server environments, including virtualized infrastructure. They will also perform system troubleshooting, documentation, and collaborate with technical teams to optimize infrastructure solutions.
The Solution Architecture Lead will build and mentor a team of architects while defining the architectural vision and roadmap across engineering domains. They are responsible for ensuring system reliability, managing technical debt, and aligning architectural standards with business goals.
You will be responsible for managing and optimizing the AWS CI/CD ecosystem and implementing infrastructure as code using AWS CDK. The role involves collaborating within a dynamic team to maintain cloud infrastructure and ensure efficient deployment pipelines.
You will develop and maintain data platforms, supporting data pipelines and ETL/ELT processes for a large-scale energy provider. Additionally, you will collaborate with stakeholders to troubleshoot issues, optimize SQL queries, and automate data ingestion and delivery workflows.
You will embed security by design across AI use cases, agents, and platform components while implementing controls for access, monitoring, and sandboxing. Additionally, you will drive risk remediation, manage AI-specific threats, and strengthen incident readiness through playbooks and cross-team collaboration.
Design, operate, and evolve scalable Kubernetes-based platforms while managing cluster lifecycles and automation workflows. Collaborate with cross-functional teams to implement CI/CD pipelines, GitOps practices, and robust monitoring frameworks.
The Data & Integration Architect will lead the definition and execution of data and integration strategies for a global migration from Veeva CRM to Salesforce. They will ensure alignment between business requirements and technical architecture across international stakeholders and delivery partners.
Develop and maintain backend systems using Java and relational databases. Build and integrate REST and SOAP web services while following Agile methodologies.
Architect and build sophisticated AI agents using Gemini and CXAS, focusing on reasoning, grounding, and tool-use capabilities. Manage the migration of legacy conversational interfaces and implement RAG pipelines and CI/CD automation for scalable deployments.
Model and transform data into consistent analytical structures while building and optimizing ELT pipelines. Collaborate with cross-functional teams to provide reliable semantic layers and ensure high data quality and observability.
Develop and maintain robust data pipelines and analytical data models using SSIS and SSAS. Build reporting solutions with Power BI and SSRS while optimizing SQL Server performance and ensuring data quality.
Build and maintain data pipelines for collecting, transforming, and integrating data from various sources. Ensure efficient data enablement and reporting solutions through the deployment of scalable data products.
The role involves refining GenAI user stories and aligning the GenAI scope with the Enterprise Architecture team. The engineer will assess the feasibility, risks, and security implications of GenAI implementations while acting as a technical partner for decision-making.
The role involves designing and optimizing data flows within a Fabric Lakehouse environment, focusing on low-latency processing and multi-stack integration. Responsibilities include implementing data design patterns like SCD and managing transaction logs for Delta Lake.
Define standards and blueprints for AI integration across the SDLC and DataOps while ensuring technical governance. Collaborate with cross-functional teams to maintain architectural consistency and support digital transformation initiatives.
The role involves joining a multidisciplinary Agile team to develop and maintain automated tests. The focus is on ensuring software quality through automation within an international project environment.
Design and develop scalable backend platforms and reusable APIs, as well as implement cloud-native and containerized applications. Collaborate with cross-functional teams to translate business requirements into technical solutions.
Design and document architectural solutions for application and integration challenges, ensuring alignment with functional and technical requirements. Act as the primary architectural reference point throughout the project lifecycle and collaborate with stakeholders to align decisions.
Define and design end-to-end technology architectures to ensure solutions are scalable, secure, and aligned with business objectives. Translate business needs into technical requirements and produce architectural artifacts such as high-level designs and API models.
The candidate will develop and maintain ETL/ELT pipelines using Azure Data Factory, Databricks, and PySpark. They will also support data preparation and validation within Data Lake and Lakehouse environments.
Manage and maintain system infrastructure focusing on Ubuntu Linux, containerization, and CI/CD pipelines. Ensure system stability through monitoring, backup practices, and network management.
The role involves applying secure development practices and ensuring compliance with European information security regulations. The expert will implement security frameworks and manage risks within software and cloud environments.
Develop and implement AI solutions by designing proof-of-concepts and translating them into minimum viable products. Collaborate with cross-functional teams to optimize AI models and integrate capabilities into existing systems.
Develop and maintain robust data pipelines and analytical data models using SSIS, SSAS, and SQL Server. Build reporting solutions with Power BI and SSRS while collaborating with business teams to translate requirements into technical solutions.
