Technical Architect (Cloud & Platform Engineering)
Bosch · Hyderabad, India
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Company Description
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.
Job Description
Roles & Responsibilities :
Role Summary
We are seeking a highly skilled and hands-on Cloud Solution Architect to lead the design, development, and evolution of scalable, secure, and high-performing technology platforms. The role demands deep expertise in cloud architecture, distributed systems, DevOps, and 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, and 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, and secure systems using modern architectural patterns (microservices, event-driven, API-first).
Create architecture blueprints, reference models, and 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, and 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, and alerting frameworks.
4. Security & Compliance
Design secure architectures aligned with enterprise and regulatory standards.
Implement identity and access management (IAM), network security, and 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, and 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, and 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, and junior architects.
Establish best practices, coding standards, and architectural governance.
8. Innovation & Continuous Improvement
Assess emerging technologies (AI/ML, GenAI, data platforms) with a focus on improving cloud platform engineering, automation, and 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, and distributed systems.
Proficiency in DevOps practices and CI/CD pipelines.
Strong understanding of networking, security, and 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, or 4+1 View Model, ensuring clarity across logical, development, and runtime perspectives.
· Strong understanding of design patterns and architectural principles, applied consistently within enterprise frameworks like TOGAF, enabling alignment with business capabilities, technology standards, and 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.
Qualifications
Educational qualification: B.E/ B. Tech / MCA / MSc / M.E
Experience : 8-16 years
Mandatory/requires Skills :
Preferred Skills :
Cloud Platforms: Strong expertise in Azure and AWS cloud architecture and services.
Operating Systems: Proficiency in Linux and Windows administration, troubleshooting, and automation.
Containerization: Expertise in Kubernetes, Helm, Docker, and orchestration platforms.
Networking & Security: Strong knowledge of network architecture, firewalls, VPNs, and cloud-native security controls.
Automation & Coding: Advanced coding skills in Terraform, Helm, Python, and TypeScript.
Architectural Patterns: Proven experience in designing data pipelines, microservices, service mesh, and 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, and 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, and standards.
Leadership: Excellent communication, consulting, team building, and stakeholder management skills.
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