Stack Engineer

bearingpoint

Bengaluru 8 Years Exp Posted 1h ago

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.