Cloud & Infrastructure Expert Full-Stack Engineer

Our Consulting team at BearingPoint is dedicated to optimizing client business operations through advanced ERP and CRM systems. With deep expertise in SAP across various domains like finance, logistics, data, and technology, we streamline processes and enhance decision-making efficiency. Our proficiency in Salesforce helps us improve customer relationships with innovative strategies. We leverage data tools like PowerBI for insightful analytics and excel in Microsoft cloud technologies, particularly Azure, to provide secure and scalable solutions. Additionally, our team develops integrated mobile front-end and back-end applications, ensuring user-friendly mobile access to ERP and CRM systems. BearingPoint's consulting services are designed to deliver tailored solutions that meet the unique needs of each client, driving growth and operational excellence. We pride ourselves on our client-centric approach, focusing on delivering measurable results and sustainable improvements. As an Expert Fullstack Engineer focused on infrastructure, you will be a hands-on technical lead. You will design, build and run secure, scalable and resilient Generative AI solutions, including BeMind, BearingPoint's enterprise AI platform, from the application down to the cloud infrastructure. About half of your time goes to infrastructure, security and DevOps. The other half goes to backend and full-stack engineering. Primary Functions and Tasks: Architecture & infrastructure: design and build enterprise-grade cloud solutions, with Azure as the focus, that are highly available, secure, cost-efficient and compliant. Networking, security & identity: own network design, security and identity and access management (RBAC, MFA, least privilege), and set best practices for the team. DevOps & automation: evolve CI/CD pipelines, infrastructure as code and automation of cloud resources, and make releases routine and low-risk. Containers & services: containerise applications, evolve architecture from monoliths towards services, and choose the right compute model (App Services, serverless, VMs, Kubernetes). AI infrastructure & APIs: run AI services such as Azure OpenAI / AI Foundry and AI Search, and expose, secure and govern APIs, including through API Management and as MCP servers. Full-stack engineering: build robust backend APIs and contribute to the frontend where platform knowledge is critical. Reliability: set up monitoring, logging and alerting, and drive performance and cost optimisation. Leadership: mentor colleagues, set architecture standards and explain complex topics clearly to technical and non-technical stakeholders. We are looking for: Bachelor's degree in Computer Science, Engineering or a related field (Master's degree or further cloud training is a plus), or equivalent practical experience. Around 8+ years of professional IT experience, including several years building and running production cloud infrastructure and doing backend / full-stack development. Deep hands-on experience with at least one major cloud. Azure is ideal; strong AWS or GCP experience is welcome if you are willing to become proficient in Azure quickly. Solid cloud networking and security fundamentals: virtual networks, firewalls / NSGs, load balancing, DNS, TLS, identity and access management. Infrastructure as code in production (Terraform, Bicep / ARM, Pulumi, CloudFormation or similar). Designing CI/CD pipelines in any mainstream tool (GitHub Actions, Azure DevOps, GitLab CI, Jenkins …) and container-based deployments with Docker. Strong backend skills in at least one language: TypeScript / Node.js is ideal; Python, C# / .NET, Java or Go are welcome. You can also work on the frontend. Strong relational database skills, including design and performance tuning. PostgreSQL is preferred. Proven experience troubleshooting complex systems and improving reliability in production. A track record of delivering enterprise projects from concept to production and of leading teams technically. Nice to have: Azure AI Foundry / Azure OpenAI, Azure AI Search or other LLM services in production. Azure API Management (policies, authentication mechanisms) and exposing APIs as MCP servers. Kubernetes and container orchestration. Serverless architectures (Azure Functions, AWS Lambda or similar). Leading monolith-to-microservices migrations or cloud transformations. Azure Monitor / Log Analytics or comparable observability tooling. Consulting or client-facing project experience. Certifications such as AZ-305, AZ-104, AZ-204, AZ-400, AZ-500 or AWS / GCP equivalents. A plus, not a requirement. What we offer: Learning-oriented organization with a people development focus Attractive compensation package: Fixed salary compensation along with Yearly Evaluation and performance-related bonus scheme Benefits buffet Extended annual leave Complete training & certification curricula available E-Learning System For more information, please visit: www.linkedin.com/company/bearingpoint About BearingPoint BearingPoint is an independent management and technology consultancy with European roots and a global reach. The company operates in three business units: Consulting, Products, and Capital. Consulting covers the advisory business with a clear focus on selected business areas. Products provides IP-driven digital assets and managed services for business-critical processes. Capital delivers M&A and transaction services. BearingPoint’s clients include many of the world’s leading companies and organizations. The firm has a global consulting network with more than 10,000 people and supports clients in over 70 countries, engaging with them to achieve measurable and sustainable success. BearingPoint is a certified B Corporation, meeting high standards of social and environmental impact. In India, BearingPoint currently operates with one office situated in Bengaluru. We work closely with all BearingPoint entities and offer technology and management consulting services with a human touch to both local and international top clients. We also enable our Products unit with development and Platform services SAP. Our team in India allows us to leverage work with clients who have extensive operations and affiliations in various European countries, in the US, and across Asia. Together with our colleagues from Romania, the Czech Republic, and Portugal, we are part of BearingPoint’s Cross-Shore Enablement Hub (CSH) which offers a wide range of Consulting and Products expertise.