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.
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.
