Technical Architect (Cloud & Platform Engineering)

Robert Bosch Group; Bengaluru; On-site; INR 4,000,000 - 6,500,000; Full time

Job summary

Bosch Global Software Technologies Private Limited in Bengaluru seeks a Technical Architect (Cloud & Platform Engineering) to lead design and evolution of scalable, secure cloud platforms across Azure/AWS/GCP, Kubernetes, and DevOps pipelines.

You'll define end-to-end architectures for cloud-native and hybrid solutions, drive IaC with Terraform, ensure governance, security, and reliability, mentor engineering teams, collaborate with product and security teams, and explore AI/ML opportunities to

Qualifications

• Cloud platforms expertise, preferably Azure and AWS.
• Containerization and orchestration with Kubernetes, Docker.
• Experience with microservices, APIs, and distributed systems.
• Strong DevOps practices and CI/CD pipelines.
• Security, networking, and identity management knowledge.
• AI/ML or GPU workloads is a strong plus.
• Ability to design architectures using arc42, C4 Model, or 4+1 View Model.
• Experience with TOGAF-based governance and enterprise architecture.
• Migration of on-prem workloads to cloud (Azure, AWS, GCP).

Responsibilities

• Define end-to-end architecture for cloud-native and hybrid solutions.
• Design scalable, resilient, secure systems with microservices and API-first.
• Create architecture blueprints, reference models, and roadmaps.
• Lead architecture across cloud platforms (Azure/AWS/GCP).
• Design Kubernetes-based platforms, including GPU workloads.
• Define strategies for autoscaling, HA, and DR.
• Architect CI/CD pipelines and release strategies.
• Drive IaC using Terraform/Bicep.
• Ensure observability via logging, monitoring, and alerts.
• Design secure architectures with IAM and data protection.
• Ensure secure on-prem to cloud integration (hybrid).
• Mentor engineers and establish governance.
• Assess emerging technologies (AI/ML, GenAI, data platforms).

Skills

Azure

Kubernetes

Docker

CI/CD

DevOps

Networking & Security

Distributed Systems

Python

Terraform

TypeScript

TOGAF / Architecture

AI/ML

Education

BE / B.Tech / MCA / MSc / ME

Tools

Docker

Kubernetes

Terraform

Helm

Python

TypeScript

Azure

AWS

GCP

Job description

Technical Architect (Cloud & Platform Engineering)

• Full-time
• Legal Entity: Bosch Global Software Technologies Private Limited

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-onCloud Solution Architectto 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

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.

Lead architecture and implementation across cloud platforms (Azure/AWS/GCP).

Design and optimizeKubernetes (AKS/EKS/GKE)based platforms, including GPU workloads where applicable.

Define strategies for:

Autoscaling (horizontal & vertical)

High availability & disaster recovery

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.

Provide technical leadership and guidance to engineering teams.

Mentor developers, DevOps engineers, and junior architects.

Establish best practices, coding standards, and architectural governance.

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.

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.

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, 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.

Preferred Skills :