
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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