Cloud & Infrastructure Expert Full-Stack Engineer
Bearingpointromania · Bucharest, Romania · Brașov, Romania · Cluj-Napoca, Romania +3 · Hybrid
Mixed hiring record · median 59 days open
All reasons
- 41% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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.
**Offer
**
**Compensation package
**
- Our compensation package includes a fixed salary with yearly evaluation and performance-related bonus, meal tickets, Easter and Christmas gift vouchers, as well as seniority, referral bonus, and peer-to-peer recognition.
**Health and Wellbeing
**
- Our benefits package includes extra paid vacation days, hybrid working model, quality private medical subscription for employee and their families, and gym options.
** Professional growth
**
- A learning-oriented organization with customized training paths (a mix between technical, functional and soft skills, as well as German and French language courses), certifications, valuable e-learning solution and firm-wide development programs.
**For more information, please visit
**
- [www.bearingpoint.com](http://www.bearingpoint.com/)
- [www.linkedin.com/company/bearingpoint](http://www.linkedin.com/company/bearingpoint)
- [instagram.com/bearingpointromania](http://instagram.com/bearingpointromania)
- [facebook.com/BearingPointRomania](http://facebook.com/BearingPointRomania)
**About BearingPoint**
BearingPoint is an independent management and technology consultancy with European roots and a global reach. We help businesses transform by combining deep industry expertise with strong capabilities in strategy, operations, and technology. Dedicated SAP and Microsoft transformation units, a strong focus on AI, and outcome-based products enable us to provide tailored, innovative solutions that create measurable and sustainable value.
In addition to our core consulting operations, we run two joint ventures. Arcwide, our joint venture with IFS, specializes in business transformation enabled by IFS technology. BearingPoint North America, our joint venture with ABeam Consulting, focuses on consulting excellence and business transformation built on SAP.
BearingPoint works with many of the world’s leading companies and public-sector organizations. Together with its strategic alliance partner ABeam Consulting, the firm brings together more than 15,000 professionals and serves clients in over 70 countries, delivering seamless business transformation, strengthening performance, and driving sustainable impact.
BearingPoint is recognized among TIME World’s Best Companies and Forbes World’s Best Employers. The firm is also a certified B Corporation, committed to responsible business and creating long-term value for organizations, people, and society.
Together with our colleagues from Portugal, the Czech Republic and India, we are part of BearingPoint’s Cross-Shore Enablement Hub (CSH), which offers a wide range of expertise.
We are present in 6 cities in Romania (Bucharest, Brasov, Cluj-Napoca, Iasi, Sibiu and Timisoara) and our team has more than 850 employees.
Together, we are more than business. Join us.
Skills
- SAP
- Salesforce
- Power BI
- Azure
- Generative AI
- RBAC
- MFA
- Azure App Service
- Serverless
- Kubernetes
- Azure AI Services
- Azure OpenAI
- Foundry
- Model Context Protocol
- AWS
- GCP
- DNS
- TLS
- Terraform
- Bicep
- ARM
- Pulumi
- AWS CloudFormation
- GitHub Actions
- Azure DevOps
- GitLab
- Jenkins
- Docker
- TypeScript
- Node.js
- Python
- C#
- .NET
- Java
- Go
- PostgreSQL
- Azure AI Foundry
- Azure AI Search
- LLM
- Azure API Management
- Azure Functions
- AWS Lambda
- Azure Monitor
- Azure Log Analytics
- HTTP
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