Design, develop, and maintain Databricks applications for capacity management and automate data integration processes. Collaborate with stakeholders to enhance Power BI dashboards and ensure high-quality data flows.
Integrate Mender Enterprise SaaS into the e.IoT platform to enable secure, fleet-wide Over-The-Air software updates. Design and implement backend API integrations while developing progressive rollout strategies for edge devices.
Design and implement automated backup and disaster recovery solutions for Azure IoT Hub environments. Collaborate with cross-functional engineering teams to ensure platform resilience and perform restoration drills.
You will implement and deploy a self-hosted Renovate environment and automate repository discovery across thousands of GitLab repositories. Additionally, you will maintain monitoring, logging, and alerting dashboards while providing technical support to development teams during the rollout.
The role involves implementing and configuring the DX platform to measure the business value and impact of AI-assisted development tools. You will be responsible for integrating telemetry data, defining success metrics, and developing dashboards to support ROI analysis and scaling strategies.
The Lead Architect will design a scalable Renovate solution for GitLab, including architecture, automated discovery, and security compliance. They will also own project planning, stakeholder coordination, and provide technical leadership to the engineering team.
Design, develop, and maintain backend applications and services using C# and .NET while ensuring high performance and scalability. Implement REST APIs, event-driven interaction patterns, and robust database integrations within a clean architecture framework.
The Business Analyst will elicit and translate business needs into functional and technical requirements while analyzing system integrations and API specifications. They will also prepare process models, support backlog refinement, and collaborate with cross-functional teams to ensure successful delivery of enterprise solutions.
Design, develop, and maintain scalable backend services and microservice-based applications using Kotlin and Spring Boot. Collaborate with cross-functional teams to implement integration patterns, manage cloud infrastructure, and contribute to architectural decisions.
Design, develop, and maintain backend applications and services using Java 17+ and Spring Boot. Implement secure, scalable integrations and event-driven patterns for card-processing systems.
The IT Project Manager will oversee the end-to-end initiative for a GenAI-powered automation chain across Atlassian and GitLab platforms. Responsibilities include managing project plans, budgets, and stakeholder coordination while ensuring smooth integration and deployment processes.
Design and implement AI-driven GitLab Duo agents to automate the software delivery lifecycle from Jira requirements to merge requests. Establish governance, security guardrails, and bi-directional communication between development tools and project management systems.
Design, develop, and maintain backend services, APIs, and integration components using .NET technologies. Collaborate with cross-functional teams to deliver scalable solutions and contribute to Angular-based UI development.
Develop and maintain backend services, APIs, and integration components using .NET technologies while following established coding standards. Collaborate with cross-functional teams to deliver end-to-end business capabilities and troubleshoot issues across applications and databases.
The role involves translating regulatory policy changes into functional business requirements and managing the end-to-end delivery of solutions. You will act as a bridge between business divisions and solution providers while maintaining project documentation and product backlogs.
The AI Engineer will collaborate with stakeholders to translate business needs into production-ready AI/ML solutions and manage data infrastructure. They are responsible for building scalable APIs, monitoring model performance, and integrating advanced techniques like Generative AI into business applications.
Facilitate agile ceremonies and support the team in continuously improving their delivery of value by removing impediments. Collaborate with the Product Owner and other stakeholders to ensure a healthy product backlog and foster a culture of self-organization.
Drive the architecture and optimization of generative AI applications with a focus on RAG pipelines and prompt engineering. Collaborate with the AI platform team to scale AI capabilities across the BMW Group and integrate data from various sources.
