Technical Architect (Cloud & Platform Engineering)
Bosch•4h ago
bangalore, inHybridFull-timeMid Level8+ yrs exp
Top focus
Cloud ArchitectVp EngineeringCloud EngineerPlatform EngineerEngineering Manager
- Bosch Global Software Technologies Private Limited is a 100% owned subsidiary of Robert Bosch GmbH, one of the world's leading global supplier of technology and services, offering end-to-end Engineering, IT and Business Solutions. With over 27,000+ associates, it’s the largest software development center of Bosch, outside Germany, indicating that it is the Technology Powerhouse of Bosch in India with a global footprint and presence in the US, Europe and the Asia Pacific region.
- Roles & Responsibilities : Role Summary We are seeking a highly skilled and hands-on Cloud Solution Architect to lead the design, development
- evolution of scalable, secure
- high-performing technology platforms. The role demands deep expertise in cloud architecture, distributed systems, DevOps
- platform engineering along with the ability to translate complex business requirements into robust technical solutions. The ideal candidate will play a strategic and execution-focused role, driving innovation, ensuring architectural governance
- mentoring engineering teams while delivering measurable business value. Key Responsibilities 1. Architecture & Solution Design Define end-to-end architecture for cloud-native and hybrid solutions. Design scalable, resilient
- secure systems using modern architectural patterns (microservices, event-driven, API-first). Create architecture blueprints, reference models
- technical roadmaps. Ensure alignment with enterprise architecture standards and governance. Cloud & Platform Engineering Lead architecture and implementation across cloud platforms (Azure/AWS/GCP). Design and optimize Kubernetes (AKS/EKS/GKE) based platforms, including GPU workloads where applicable. Define strategies for: Autoscaling (horizontal & vertical) High availability & disaster recovery Multi-region deployments Optimize cloud cost, performance
- resource utilization. DevOps & Automation Architect CI/CD pipelines for efficient and reliable deployments. Define release strategies (blue-green, canary deployments). Drive Infrastructure as Code (IaC) using tools like Terraform/Bicep. Ensure observability through logging, monitoring
- alerting frameworks. 4. Security & Compliance Design secure architectures aligned with enterprise and regulatory standards. Implement identity and access management (IAM), network security
- data protection strategies. Ensure secure integration between on-premises and cloud (hybrid connectivity). 5. Performance, Reliability & Scalability Identify and resolve system bottlenecks and performance issues. Ensure systems meet SLAs for availability, latency
- throughput. Drive proactive reliability engineering and chaos testing practices. 6. Stakeholder Collaboration Work closely with business stakeholders to understand requirements and translate them into technical solutions. Engage with product owners, DevOps teams
- security teams for seamless delivery. Communicate architectural decisions and trade-offs effectively. 7. Leadership & Mentorship Provide technical leadership and guidance to engineering teams. Mentor developers, DevOps engineers
- junior architects. Establish best practices, coding standards
- architectural governance. 8. Innovation & Continuous Improvement Assess emerging technologies (AI/ML, GenAI, data platforms) with a focus on improving cloud platform engineering, automation
- operational reliability Drive innovation initiatives and proof-of-concepts (POCs). Continuously improve platform capabilities and developer productivity. Required Skills & Qualifications Technical Expertise Strong hands-on experience in cloud platforms (preferably Azure). Deep knowledge of containerization and orchestration (Docker, Kubernetes). Experience in microservices architecture, APIs
- distributed systems. Proficiency in DevOps practices and CI/CD pipelines. Strong understanding of networking, security
- identity management. Experience with databases (SQL/NoSQL) and caching systems. Familiarity with AI/ML or GPU-based workloads is a strong plus. Architectural Competencies · Ability to design scalable, fault-tolerant systems using structured architecture approaches such as arc42, C4 Model
- 4+1 View Model, ensuring clarity across logical, development
- runtime perspectives. · Strong understanding of design patterns and architectural principles, applied consistently within enterprise frameworks like TOGAF, enabling alignment with business capabilities, technology standards
- long-term roadmaps. · Experience in defining enterprise architecture standards and governance, leveraging TOGAF (ADM lifecycle, governance models) and documenting solutions using structured approaches such as arc42 or C4 Model for better stakeholder communication and traceability. Soft Skills Strong problem-solving and analytical thinking. Excellent communication and stakeholder management skills. Ability to balance technical depth with business priorities.
- Educational qualification: B.E/ B. Tech / MCA / MSc / M.E Experience : 8-16 Years Mandatory/requires Skills : Cloud Platforms: Strong expertise in Azure and AWS cloud architecture and services. Operating Systems: Proficiency in Linux and Windows administration, troubleshooting
- automation. Containerization: Expertise in Kubernetes, Helm, Docker
- orchestration platforms. Networking & Security: Strong knowledge of network architecture, firewalls, VPNs
- cloud-native security controls. Automation & Coding: Advanced coding skills in Terraform, Helm, Python
- TypeScript. Architectural Patterns: Proven experience in designing data pipelines, microservices, service mesh
- distributed systems. Migration Experience: Hands-on experience in migrating workloads from on-premises to Azure, AWS and GCP. DevOps/GitOps: Strong understanding and application of DevOps, GitOps
- infrastructure-as-code practices. Open-Source Tools: Practical knowledge in leveraging open-source tools for enterprise-scale solutions. Domain Expertise: Knowledge of automotive and manufacturing processes, systems
- standards. Leadership: Excellent communication, consulting, team building
- stakeholder management skills. Preferred Skills :
Required skills
AzureAWSKubernetesDockerTerraformPythonTypeScriptLinuxWindowsNetworkingSecurityMicroservicesCI/CD