Padmi

Chief Architect - Cloud FinOps

Delhi NCRPosted 1 month ago
Software engineeringStaff+Full Time; Regular
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Hiring Chief Architect for Pune/Bangalore/Gurgaon Location. Job Description : 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 (e.g., lead-time reduction, reliability, cost). 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; leverage managed services where it creates strategic advantage. - Define multi-cloud landing zones, tenancy models, and portability patterns (12-factor, containers, IaC). Multi-tenant SaaS at scale : - Design and operate secure, scalable, cost-efficient multi-tenant architectures including tenant isolation, entitlements, billing/quotas, and data protection. - Establish patterns for regionalization, data residency, and compliance controls (GDPR, PCI, SOC 2 as applicable). Security, identity, and compliance by design : - Embed security and privacy controls into architecture (Zero Trust, IAM, secrets management, KMS/HSM, network segmentation). - Partner with security and risk teams to implement governance, threat modeling, and continuous compliance automation. DevSecOps and engineering excellence : - Drive CI/CD, GitOps, policy-as-code, and SRE practices; improve DORA metrics and engineering productivity. - Introduce AI-driven SDLC accelerators and guardrails to reduce cycle time and increase quality. Integration, APIs, and service connectivity : - Define API strategy (gateway management, versioning, monetization) and service connectivity (service mesh, mTLS, traffic management). - Establish event streaming and data-in-motion patterns for real-time use cases. Data and AI platform architecture: - Guide modern data architectures (lakehouse, streaming, governance) 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; run ARBs, standards councils, and technology guardrails. - Build and mentor a high-performing architecture community of practice; scale via accelerators, reusable IP, and knowledge assets. Stakeholder leadership and communication: - Translate complex technical concepts into clear business narratives for executives and non-technical stakeholders. 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: microservices, event-driven architectures, CQRS, caching, resiliency patterns. - Proven experience designing and operating multi-tenant SaaS platforms at enterprise scale. - Strong hands-on experience on Azure. - Security and identity: OAuth2/OIDC, SSO, SAML, RBAC/ABAC, secrets management, KMS, network policies, and zero trust principles. - Container orchestration and connectivity: Kubernetes, Helm/Kustomize, service meshes (e.g., Istio/Linkerd), and API management (e.g., Apigee, Kong, Azure/API Gateway). - DevSecOps and automation: CI/CD, GitOps (Argo CD/Flux), IaC (Terraform, CloudFormation, Bicep), policy-as-code (OPA), and supply-chain security. - Data and AI: familiarity with lakehouse platforms (e.g., Databricks, BigQuery, Snowflake), event streaming (Kafka/Pulsar), and AI/ML platforms (SageMaker, Vertex AI, Azure ML); understanding of MLOps and responsible AI practices. - Experience leading architecture governance in large, complex enterprises; established ARB processes and standards. - Background in regulated industries (banking, insurance, public sector) or large enterprise SaaS products. - Demonstrated ability to communicate crisply with executives and non-technical stakeholders and to influence cross-functional teams. Preferred Qualifications: - Prior responsibility for technology strategy across multiple products or business units and for P&L- or portfolio-impacting decisions. - Track record building platform engineering functions/CoEs and internal developer platforms. - Experience modernizing legacy systems at scale (e.g., monolith-to-microservices, application server migrations, language/runtime upgrades). - Experience creating IP/accelerators that reduce delivery effort and standardize modernization. - Certifications such as TOGAF, cloud provider .

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