Chief Architect

FyneHand; Bengaluru; On-site; INR 6,000,000 - 9,000,000; Full time

Job summary

FyneHand invites a seasoned Chief Architect - Associate Partner to shape Enterprise Transformation & Azure Cloud strategy from multiple hubs in India. You will own the target-state architecture for cloud-native platforms, define standards for multi-tenant SaaS, and lead the rollout of Internal Developer Platforms to accelerate delivery.

Ideal candidates possess 15+ years in software engineering and architecture, deep cloud-native expertise, and a proven track record in executive communication.

Qualifications

• 15+ years in software engineering and architecture with senior roles.

Responsibilities

• Own target-state enterprise architecture across distributed, cloud-native platforms.
• Define reference architectures, blueprints, and standards for multi-tenant SaaS.
• Lead design and rollout of Internal Developer Platforms (IDP).
• Architect solutions across AWS, Azure, and GCP with vendor-neutral mindset.
• Design secure, scalable multi-tenant architectures and data protection measures.
• Embed security by design: Zero Trust, IAM, secrets management.
• Drive CI/CD, GitOps, policy-as-code, and SRE practices; improve DORA metrics.
• Define API strategy and service connectivity; event streaming patterns.
• Guide data and AI platform architecture; operationalize ML responsibly.
• Lead architecture governance and build a high-performing community.

Skills

Azure Cloud

SaaS architecture

Microservices

DevSecOps

Kubernetes

Security IAM

IDP platforms

Architecture governance

Executive communication

Vendor-neutral multi-cloud

Tools

Terraform

CloudFormation

Bicep

Kubernetes

Job description

FyneHand is mandated to hire for the role of Chief Architect - Associate Partner - Enterprise Transformation & Azure Cloud . The position will be based in Bangalore / Pune / Gurgaon / Hyderabad.

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
• 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
• 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 20 - 30% 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