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About the role
Job Description: Hiring Chief Architect for Pune, Bangalore, and Gurgaon locations. Experience: 18-25 Years. Title: Chief Architect - Advisory Digital. Key Responsibilities: Architecture strategy and roadmap: - Own target-state enterprise architecture for distributed, cloud-native platforms and products across multiple business units. - Define and govern reference architectures, blueprints, and standards for multi-tenant SaaS, microservices, and event-driven systems. - Establish architecture metrics and outcomes tied to business objectives. Platform engineering and IDP: - Lead design and rollout of Internal Developer Platforms to standardize golden paths, improve developer experience, and accelerate delivery. - Define platform SLAs/SLOs, golden templates, and paved roads for services, data, observability, and security. Cloud architecture and vendor neutrality: - Architect solutions across AWS, Azure, and GCP with a vendor-neutral mindset. - Define multi-cloud landing zones, tenancy models, and portability patterns. Multi-tenant SaaS at scale: - Design and operate secure, scalable, cost-efficient multi-tenant architectures. - Establish patterns for regionalization, data residency, and compliance controls. Security, identity, and compliance by design: - Embed security and privacy controls into architecture (Zero Trust, IAM, secrets management). - Partner with security and risk teams to implement governance and continuous compliance automation. DevSecOps and engineering excellence: - Drive CI/CD, GitOps, policy-as-code, and SRE practices. - Introduce AI-driven SDLC accelerators and guardrails. Integration, APIs, and service connectivity: - Define API strategy and service connectivity patterns. - Establish event streaming and data-in-motion patterns. Data and AI platform architecture: - Guide modern data architectures and AI/ML platforms for model training, deployment, and monitoring. - Partner with data and product teams to operationalize ML/GenAI responsibly at scale. Governance and operating model: - Lead architecture governance across a matrixed enterprise. - Build and mentor a high-performing architecture community of practice. Stakeholder leadership and communication: - Translate complex technical concepts into clear business narratives for executives. Minimum Qualifications: - 15+ years in software engineering and architecture with significant time in senior/principal/chief architect roles. - Deep expertise in cloud-native and distributed systems. - Proven experience designing and operating multi-tenant SaaS platforms at enterprise scale. - Strong hands-on experience on Azure. - Security and identity expertise (OAuth2/OIDC, SSO, SAML, RBAC/ABAC). - Container orchestration and connectivity (Kubernetes, Helm, Istio). - DevSecOps and automation (CI/CD, GitOps, IaC). - Data and AI familiarity (Databricks, BigQuery, Snowflake, Kafka, SageMaker). - Experience leading architecture governance in large, complex enterprises. - Background in regulated industries or large enterprise SaaS products. - Demonstrated ability to communicate crisply with executives. Preferred Qualifications: - Prior responsibility for technology strategy across multiple products or business units. - Track record building platform engineering functions/CoEs. - Experience modernizing legacy systems at scale. - Experience creating IP/accelerators. - Certifications such as TOGAF, cloud provider certifications, and advanced DevSecOps/AI credentials. Key Competencies: - Enterprise technology leadership and strategic thinking. - Platform engineering and developer experience. - Architecture governance and operating model design. - Vendor-neutral multi-cloud design and FinOps awareness. - Executive communication and stakeholder management. - Innovation mindset with bias for measurable outcomes. - Team leadership, coaching, and global delivery governance. What Success Looks Like (12-18 Months): - Target-state platform and SaaS architecture defined and adopted. - IDP and golden paths established, improving developer productivity by 20-30%. - Secure, compliant multi-tenant capabilities implemented. - AI-driven SDLC accelerators embedded. - Architecture governance operationalized with consistent standards. .
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