Technical Architect (Mobile and Connected Vehicle Services, IT & DevOps)

• *Job Requirements**

• *Technical Architect (Mobile and Connected Vehicle Services, IT \& DevOps)**

• *Experience**: 10\-16 years \| **Location**: Hyderabad/Bengaluru, India \| **Positions**: 1

• *Role Summary:**

Define and govern end\-to\-end solution architecture for Mobile and Connected Vehicle Services platforms. The role combines mobile architecture, enterprise integration, cloud engineering, DevOps leadership, security governance, and AI\-enabled engineering practices to ensure scalable, secure, resilient, and maintainable solutions. The Technical Architect serves as the final technical authority for solution architecture, engineering quality, code governance, and release readiness. The role is accountable for ensuring all delivered software aligns with architecture standards, security requirements, coding guidelines, and quality expectations before release.

• *Key Responsibilities:**

• Define end\-to\-end architecture across mobile, backend, cloud, integration, security, and DevOps layers.
• Establish architecture standards, coding standards, design principles, and technical governance processes.
• Design secure, scalable, and cloud\-native solutions using Azure, AWS, or hybrid deployment environments.
• Own CI/CD strategy, deployment automation, release management, environment management, and platform engineering practices.
• Define application security, observability, resilience, scalability, performance, and maintainability standards.
• Conduct architecture reviews, technical assessments, and design approvals.
• Establish and enforce application architecture standards, coding standards, and secure development practices across delivery teams.
• Act as the final reviewer and approval authority for critical design decisions, code quality, security compliance, architectural compliance, and release readiness.
• Review architecture\-impacting code changes, AI\-generated artifacts, and key technical deliverables.
• Define code review frameworks, quality gates, security controls, and engineering governance processes.
• Ensure all development activities comply with security, quality, performance, scalability, maintainability, and compliance requirements.
• Mentor development teams, drive continuous improvement in engineering practices and code quality.
• Evaluate, govern, and standardize AI\-assisted engineering practices across architecture, development, testing, UI/UX, and DevOps functions.
• Ensure AI\-generated outputs comply with security, architectural, operational, quality, and regulatory requirements.

• *Required Skills:**

• 10\+ years of experience in software architecture, solution design, and enterprise application delivery.
• Strong experience in mobile application architecture for Android, iOS, and cross\-platform solutions.
• Expertise in enterprise integration architecture, API architecture, and distributed systems design.
• Strong experience with cloud platforms including Microsoft Azure, AWS, and hybrid cloud environments.
• Extensive experience with DevOps, CI/CD, Infrastructure as Code (IaC), automation, and platform engineering.
• Experience with containerization and orchestration technologies such as Kubernetes, Docker, OpenShift, or equivalent platforms.
• Strong understanding of security architecture, secure software development lifecycle (SSDLC), identity and access management, and application security best practices.
• Experience establishing architecture governance, engineering standards, and technical review frameworks.
• Proven experience establishing and governing coding standards, architecture standards, and software quality frameworks.
• Strong experience leading code review processes and engineering quality governance.
• Ability to perform final technical reviews covering architecture compliance, secure coding standards, maintainability, reliability, scalability, and operational readiness.
• Experience with static code analysis, security scanning, software quality metrics, and governance tools.
• Strong knowledge of observability, monitoring, logging, and performance management solutions.
• Hands\-on experience using AI tools for architecture design, engineering governance, code quality analysis, technical reviews, DevOps automation, documentation, and productivity improvement.
• Demonstrated ability to review, validate, and govern AI\-generated outputs before implementation.
• Experience assessing AI\-generated content for architectural integrity, security vulnerabilities, compliance risks, scalability concerns, maintainability, and operational readiness.
• Ability to establish governance controls and review mechanisms for responsible AI\-assisted software delivery.

• *Good to Have:**

• Experience in automotive, connected vehicle, mobility, telematics, IoT, or digital services platforms.
• TOGAF or equivalent Enterprise Architecture certification.
• Experience with API gateways, service meshes, and event\-driven architectures
• Experience with cloud security, zero\-trust architecture, and platform reliability engineering.
• Experience establishing enterprise AI governance frameworks and AI\-assisted software engineering practices.

• *Education:**

Bachelor's or master's degree in computer science, Software Engineering, Electronics or related field.