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 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 with clear reference implementations and guardrails.

- IDP and golden paths established, improving developer productivity by 2030% and reducing lead time to production.

- Secure, compliant multi-tenant capabilities implemented with measurable improvements in reliability, performance, and cost.

- AI-driven SDLC accelerators embedded with quality improvements and cycle-time reductions.

- Architecture governance operationalized with consistent standards and reduced deviation across products/business units.