Job Description

Tätigkeitsbereich:IT/Telekommunikation

Fachabteilung:Data & AI Solutions - 1

Gesellschaft:Mercedes-Benz Research and Development India Private Limited

Standort:Mercedes-Benz Research and Development India Private Limited, Bangalore

Startdatum:07.12.2026

Veröffentlichungsdatum:30.10.2026

Stellennummer:MER00049DI

Arbeitszeit:Vollzeit

Bewerben

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.

Benefits

Mit­arbeiter­rabatte möglich

Gesund­heits­maß­nahmen

Mit­arbeiter­handy möglich

Essens­zulagen

Betrieb­liche Alters­ver­sorgung

Hybrides Arbeiten möglich

Mobilitäts­angebote

Mit­arbeiter Events

Coaching

Flexible Arbeits­zeit möglich

Park­platz

Betriebs­arzt

Gute An­bindung

Barriere­frei­heit

Kinder­betreuung

Kantine, Café

KontaktMercedes-Benz Research and Development India Private Limited

Brigade Tech Gardens, Katha No. 119560037 BengaluruDetails zum Standort

MBRDI Recruitment E-Mail: mbrdi_recruitment@mercedes-benz.com

Bewerben