Principal Engineer-T6

Mercedes Benz Edmonton West; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Mercedes-Benz Group in Bengaluru seeks a senior Architect to blend technical depth with organizational influence. This role is not design-only; it requires active engagement with teams and stakeholders across a multi-cloud landscape.

You will drive Azure AKS governance, guide cloud migrations, and shape enterprise AI integration while aligning with security and governance requirements. Strong leadership and communication across cross-cultural teams are essential.

Qualifications

• 12+ years in software/cloud/enterprise architecture.
• Strong Azure AKS and Azure services knowledge.
• Experience with AWS/GCP multi-cloud decisions.
• Cloud migration and modernization expertise.
• Practical AI integration awareness and patterns.

Responsibilities

• Define, evolve and govern solution architecture for AKS-based ecosystem.
• Guide architecture for Azure networking, data services, observability and platform automation.
• Provide architectural direction for enterprise AI integration and production operations.
• Design data onboarding, ingestion, and API/integration flows across apps and vehicle data sources.
• Support migration planning, modernization and target-state decisions with AWS/GCP input.
• Strengthen operational readiness, monitoring, incident response and runbooks.
• Embed security, IAM, secrets, data protection and compliance in architecture decisions.
• Mentor associate team-members and coordinate with multiple scrum teams.

Skills

Azure architecture

AKS

Multicloud

Cloud migration

AI integration

Leadership

Stakeholder mgmt

Distributed delivery

Security governance

Troubleshooting

Tools

Terraform

Kubernetes

GitHub Actions

CI/CD pipelines

Security tooling

Job description

Aufgaben

We are looking for a strong architect who combines technical depth with organizational influence. This is not a purely design-only role; it requires active engagement with teams and stakeholders.

• Strong experience as a Cloud Solutions Architect, Enterprise Architect, or similar senior architecture role.

• Deep hands-on and architectural knowledge of Microsoft Azure.

• Good working knowledge of AWS and GCP, with the ability to compare services and guide multi-cloud decisions.

• Experience with cloud migration, modernization, and operational architecture.

• Understanding of AI integration patterns, enterprise AI adoption concerns, and solution design implications.

• Experience guiding multiple engineering teams in distributed delivery environments.

• Strong knowledge of architecture governance, integration patterns, security considerations, and non-functional requirements.

• Ability to troubleshoot complex technical issues and unblock teams effectively.

• Excellent stakeholder management and communication skills, especially in international and cross-cultural contexts.

• Ability to explain technical choices clearly to both technical and non-technical audiences.

Job Responsibilities :

• Define, evolve and govern solution architecture for the Azure kubernetes based ecosystem, ensuring scalability, resilience, security, operability and reusability across use cases.

• Guide architecture and operations for AKS, Azure networking, data services, observability, secrets, service mesh, storage, databases and platform automation.

• Provide architectural direction for enterprise AI integration, including natural-language search, agentic capabilities, governed data access, verifiable outputs and production operations

• Design and unblock data onboarding, ingestion, metadata, API and integration flows across multiple applications and vehicle data sources

• Support migration planning, modernization and target-state decisions while keeping Azure as the current baseline and bringing practical AWS/GCP knowledge for future options.

• Strengthen operational readiness, monitoring, incident response, RCA quality, runbooks, SOPs, service requests, change management and supplier transition readiness.

• Embed security, identity, access, secrets, vulnerability remediation, compliance, data protection and change traceability into architecture decisions

• Advise BOs and POs when difficult business, delivery or political situations may be resolved through architecture options, technical trade-offs, transparency or phased implementation.

• Responsible for the operation of the system and record any problems that occur
• Ensure rapid problem resolution in close cooperation with participating third parties
• Proactively follow the solution progress of incidents
• Responsible for the monitoring and the analysis of possible sources of error
• keep stakeholders up-to-date on system-relevant incidents
• Follow established processes such as Incident Management and Change Request Management
• Evangelize best practices and methodologies
• Identify opportunities to automate processes and procedures
• Cultivate relationships with developers, engineers, and other technology partners to understand their infrastructure needs and deliver solutions
• Provide mentorship and technical direction to associate team-members

• 12+ years of experience in software engineering, cloud engineering, platform engineering or enterprise architecture, including several years in a cloud/solution architect role.

• Deep Microsoft Azure architecture experience, especially AKS, Azure networking, private connectivity, Key Vault, ACR, App Configuration, Front Door, Event Grid, App Insights, Managed Grafana, ADX, ADLS and Azure Databricks.

• Strong Kubernetes and platform engineering knowledge, including node pools, namespaces, ingress, service mesh/Istio, observability, deployment patterns, capacity planning and production troubleshooting.

• Hands-on knowledge of Infrastructure as Code and DevOps toolchains, especially Terraform, Terragrunt, GitHub Enterprise, GitHub Actions, CI/CD pipelines, SonarCloud, BlackDuck, Polaris and FOSS scanning practices.

• Experience with data platforms and integration patterns, including metadata services, ingestion pipelines, event-driven integration, APIs, MongoDB Atlas, PostgreSQL, Databricks, ETL pipelines and data governance concepts such as Unity Catalog.

• Practical understanding of enterprise AI integration, natural-language search, AI-assisted query generation, agentic patterns, data access controls, explainability, verification and production support for AI capabilities.

• Good working knowledge of AWS and GCP to support cloud service comparison, migration planning, portability assessment and future-state cloud strategy discussions.

• Strong experience in operational architecture: incident management, RCA, monitoring/alerting, runbooks, SOPs, backup/recovery, service requests, change management, release support and environment readiness.

• Security and compliance awareness covering IAM, service principals, federated credentials, secrets, certificate renewal, Key Vault, vulnerability remediation, CSR expectations, data protection, PII and GDPR/DSGVO.

• Ability to guide multiple scrum teams, mentor technical leads, unblock complex cross-team dependencies and make architecture decisions understandable for engineers, BOs, POs and leadership.

• Excellent written and verbal communication skills in an international environment, with proven ability to work with Germany-based stakeholders and distributed teams across India and Europe.

Qualifikationen

We are looking for a strong architect who combines technical depth with organizational influence. This is not a purely design-only role; it requires active engagement with teams and stakeholders.

• Strong experience as a Cloud Solutions Architect, Enterprise Architect, or similar senior architecture role.

• Deep hands-on and architectural knowledge of Microsoft Azure.

• Good working knowledge of AWS and GCP, with the ability to compare services and guide multi-cloud decisions.

• Experience with cloud migration, modernization, and operational architecture.

• Understanding of AI integration patterns, enterprise AI adoption concerns, and solution design implications.

• Experience guiding multiple engineering teams in distributed delivery environments.

• Strong knowledge of architecture governance, integration patterns, security considerations, and non-functional requirements.

• Ability to troubleshoot complex technical issues and unblock teams effectively.

• Excellent stakeholder management and communication skills, especially in international and cross-cultural contexts.

• Ability to explain technical choices clearly to both technical and non-technical audiences.