Principal Cloud & Platform Architect
Suyog Dabhole
I design cloud platforms that make engineering faster, production safer and cloud spending accountable.
Principal-level architecture across Kubernetes, DevSecOps, GitOps, observability and reliability platforms on AWS and Azure—grounded in 19+ years of production technology experience.
19+ years
AWS & Azure
Bengaluru, India
Principal-level scopeArchitecture · Standards · Influence
Open to conversationsSenior roles & selected advisory work
Evidence at enterprise scale
Architecture measured by operational outcomes.
Selected results from cloud, platform and reliability work documented across the professional record.
Problems I solve
The platform issues that quietly compound business risk.
Cloud complexity becomes expensive when architecture, operability and ownership drift apart. My work connects them again.
Fragmented platforms
Teams build competing patterns, multiplying support cost and architectural inconsistency.
Approach: Establish reusable platform standards, guardrails and well-defined ownership.
Risky delivery
Manual releases and inconsistent pipelines make change slower and recovery uncertain.
Approach: Introduce governed, rollback-ready GitOps and repeatable delivery paths.
Opaque production
Fragmented telemetry delays diagnosis and extends the impact of service disruption.
Approach: Standardize metrics, logs, traces, alerting and reliability objectives.
Operational toil
Repeatable incidents consume engineering attention and make operations harder to scale.
Approach: Turn proven runbooks into safe, observable remediation workflows.
Security friction
Late security gates create delivery conflict without consistently reducing exposure.
Approach: Embed identity, policy, secrets and scanning into platform defaults.
Unaccountable cloud cost
Weak visibility and ownership turn consumption into a recurring budget surprise.
Approach: Connect utilization, rightsizing, governance and engineering accountability.
How I can help
Architecture support for consequential platform decisions.
Focused advisory and delivery guidance for organizations modernizing cloud foundations, improving reliability or creating stronger engineering leverage.
Cloud foundations
Cloud & Platform Architecture Advisory
Assess fragmented AWS or Azure estates and define a secure, governed target state with an incremental roadmap.
- Architecture assessment
- Guardrails & governance
- Target-state roadmap
Container platforms
Kubernetes Platform Architecture
Design or improve EKS and AKS platforms for isolation, traffic control, deployment safety and operational readiness.
- Cluster & tenancy strategy
- Reliability & security
- Cost-aware operations
Developer leverage
Platform Engineering & Internal Developer Platforms
Create golden paths and reusable self-service capabilities that reduce cognitive load without hiding essential controls.
- Platform-as-a-product
- Reusable templates
- Adoption & ownership
Delivery systems
DevOps, CI/CD & GitOps Transformation
Replace inconsistent delivery workflows with governed automation, clear promotion paths and rollback readiness.
- Pipeline assessment
- GitOps architecture
- Release governance
Production confidence
Observability & Site Reliability Engineering
Make service health measurable through coherent telemetry, SLOs, actionable alerts and stronger incident visibility.
- Telemetry strategy
- SLOs & error budgets
- Reliability operating model
Secure defaults
DevSecOps & Zero Trust Architecture
Embed practical security controls into platforms and pipelines while protecting developer flow and release speed.
- Identity & secrets
- Policy-as-code
- Secure delivery gates
Economic accountability
FinOps & Cloud-Cost Optimization
Build evidence-based visibility, utilization discipline and ownership into everyday engineering decisions.
- Cost assessment
- Rightsizing & utilization
- Governance model
Independent direction
Architecture Review & Fractional Principal Architect
Add senior technical judgment to roadmaps, design reviews and production-readiness decisions without unnecessary ceremony.
- Decision support
- Risk & readiness reviews
- Engineering mentorship
Clear starting points
Focused engagements that turn uncertainty into a practical next step.
Each engagement begins with a discovery conversation. Final scope, deliverables and commercial terms are agreed after the current context is understood.
Cloud Platform Architecture Assessment
Current-state risks, target-state direction and prioritized recommendations across scalability, security, reliability, governance, developer experience and cost.
Includes a 30/60/90-day improvement roadmap.Kubernetes Reliability & Architecture Review
A structured review of EKS or AKS tenancy, autoscaling, traffic management, deployment safety, observability and operational readiness.
Observability & SRE Maturity Assessment
An assessment of telemetry, SLOs, alert quality, incident response and the operating practices behind reliable services.
DevSecOps Pipeline Assessment
A review of identity, secrets, scanning, policy enforcement and release gates—alongside their effect on developer flow.
Cloud-Cost Optimization Diagnostic
Evidence-based analysis of cost visibility, utilization, rightsizing, allocation, ownership and governance opportunities.
Fractional Principal Architect Engagement
Ongoing architecture guidance, decision reviews, roadmap support and mentorship for teams navigating material technical change.
Need a narrower review or a different engagement shape?
Define the right starting pointSelected impact stories
The decision behind the outcome.
Anonymized examples drawn from documented enterprise work. Each story focuses on the documented architectural choice, delivery approach and operational significance.
01 Kubernetes platform standardizationReplacing team-specific patterns with reusable EKS and AKS foundations. 120+ microservices
Challenge
Fragmented Kubernetes implementations increased operational variation, governance effort and long-term support risk across a large microservices estate.
Architectural decision
Standardize EKS and AKS platform patterns with reusable guardrails rather than allowing every team to create a distinct cluster model.
Implementation approach
Applied reusable platform guardrails to improve workload consistency, deployment governance, scalability and operational support.
Architectural choice
Chose shared EKS and AKS guardrails over distinct team-specific cluster implementations.
Outcome
Standardized patterns supported 120+ microservices with stronger consistency, governance, scalability and operational support.
Business significance
A common platform reduces repeated design work and makes reliability and security practices easier to operate across teams.
02 Observability & incident recoveryCreating a shared telemetry foundation for faster production diagnosis. 40% lower MTTR
Challenge
Fragmented service-level monitoring created inconsistent signals and slowed incident diagnosis across a high-throughput enterprise platform.
Architectural decision
Consolidate telemetry around OpenTelemetry, Prometheus and Grafana, integrated with Azure Monitor and Application Insights.
Implementation approach
Standardized collection, dashboards, alerts and incident visibility so responders could work from a coherent operational picture.
Architectural choice
Standardized telemetry conventions over fragmented service-level monitoring.
Outcome
The observability platform reduced Mean Time to Recovery by 40%.
Business significance
Faster diagnosis reduces disruption, limits the cost of incidents and helps engineering teams restore service with greater confidence.
03 Automated incident remediationTurning repeatable recovery knowledge into controlled automation. 70% automated
Challenge
Known recovery actions were repeatedly performed by engineers, consuming time and making incident response harder to scale.
Architectural decision
Automate repeatable remediation through self-healing workflows, runbooks and alert-driven automation.
Implementation approach
Applied self-healing workflows, runbooks and alert-driven automation to repeatable incident-remediation steps.
Decision boundary
Targeted the repeatable remediation workload captured by runbooks and alert-driven workflows.
Outcome
Automated 70% of repeatable incident remediation.
Business significance
Reducing recovery toil returns engineering attention to prevention, platform improvement and higher-value delivery work.
04 FinOps & cloud governanceMoving cloud optimization from reactive cleanup to durable accountability. $1M+ annually
Challenge
Limited cost visibility and inconsistent resource governance made cloud expenditure harder to explain, control and improve.
Architectural decision
Combine rightsizing, utilization analysis, resource governance and cost visibility instead of relying on periodic cost-cutting exercises.
Implementation approach
Connected consumption evidence with ownership and platform controls to create an ongoing optimization discipline.
Operating model
Replaced reactive cost cleanup with ongoing cost visibility, rightsizing, resource governance and utilization analysis.
Outcome
Delivered more than $1 million in annual cloud-cost optimization.
Business significance
Durable cost governance improves forecast confidence and makes platform economics part of engineering decision-making.
05 GitOps release architectureReplacing manual deployment variance with rollback-ready delivery. 100+ services
Challenge
Manual and inconsistent deployment workflows increased release variance and made production recovery less predictable.
Architectural decision
Standardize ArgoCD, Helm and GitOps patterns with rollback readiness across a 100+ microservice environment.
Implementation approach
Applied ArgoCD, Helm and rollback-ready GitOps deployment patterns across the 100+ microservice environment.
Architectural choice
Chose standardized GitOps deployment patterns over manual deployment workflows.
Outcome
Improved release consistency across 100+ microservices and reduced production deployment risk.
Business significance
Predictable delivery supports faster change while protecting production and simplifying operational governance.
06 Embedded DevSecOps & Zero TrustMaking secure delivery a platform property rather than a late gate. Secure by default
Challenge
Security controls applied late in delivery create friction, uneven enforcement and avoidable rework.
Architectural decision
Embed SAST, container scanning, policy-as-code, identity controls, secrets management and secure gates into CI/CD and platform standards.
Implementation approach
Embedded SAST, container scanning, secure release gates and policy governance into CI/CD pipelines.
Trade-off
Balanced strong governance with developer velocity by shifting consistent controls into reusable delivery paths.
Outcome
Established integrated DevSecOps and Zero Trust standards across platform and delivery workflows.
Business significance
Earlier, repeatable controls reduce security drift and make secure delivery easier for engineering teams to sustain.
07 Platform as a productCreating reusable paths that help multiple teams move consistently. Multi-team adoption
Challenge
Fragmented ownership and increasing operational risk called for reusable platform practices across engineering teams.
Architectural decision
Treat the platform as a product with reusable templates, standardized pipelines, self-service capabilities and developer-focused services.
Implementation approach
Established reusable templates, standardized pipelines, self-service capabilities and developer-focused platform services.
Operating model
Combined reusable templates, standardized pipelines, self-service capabilities and developer-focused platform services.
Outcome
Platform standards and self-service capabilities were adopted across multiple engineering teams.
Business significance
Reusable paths shorten repeated setup work and let product teams focus more of their attention on customer-facing delivery.
Architecture approach
From business constraint to operable platform.
Strong platform architecture is a sequence of explicit decisions—not a technology shopping list.
- 01Frame
Understand business priorities, constraints and non-negotiables.
- 02Assess
Map current architecture, dependencies and operational risk.
- 03Focus
Identify costly failure modes, friction and bottlenecks.
- 04Evaluate
Make trade-offs visible before selecting a direction.
- 05Define
Set target-state principles, boundaries and guardrails.
- 06Sequence
Create an incremental roadmap with clear decision points.
- 07Enable
Build reusable platform capabilities and delivery paths.
- 08Measure
Track reliability, velocity, security and cost signals.
- 09Transfer
Strengthen internal ownership through standards and mentoring.
Core expertise
Capabilities organized around architecture outcomes.
The technologies matter because of the operational behavior they enable.
Cloud Architecture
AWS, Azure, EKS, AKS, multi-account architecture, hybrid cloud, identity, governance and cloud-native design.
Kubernetes & Containers
Kubernetes platform engineering, Istio, Envoy, Helm, autoscaling, workload isolation, service mesh and multi-tenant clusters.
Platform Engineering
Internal developer platforms, platform-as-a-product, Backstage, Crossplane, golden paths, reusable templates and self-service infrastructure.
DevOps & GitOps
Terraform, ArgoCD, GitHub Actions, GitLab CI, Azure DevOps, Jenkins, release automation and deployment safety.
DevSecOps & Zero Trust
IAM, OPA/Gatekeeper, Vault, AWS KMS, Azure Key Vault, SAST, container scanning, secrets management and policy governance.
Observability & SRE
OpenTelemetry, Prometheus, Grafana, Datadog, Azure Monitor, Application Insights, SLOs, SLIs and error budgets.
FinOps & Governance
Rightsizing, cost visibility, utilization tracking, cloud governance, resource controls and engineering accountability.
Architecture Leadership
Architecture reviews, trade-off analysis, platform guardrails, production-readiness reviews, technical roadmaps and engineering mentorship.
Career journey
From software foundations to enterprise platform leadership.
Nearly two decades of increasing responsibility across application architecture, infrastructure automation, cloud modernization and Principal-level platform decisions.
Download complete résuméLead Cloud & Platform Architect
Jeppesen ForeFlight · Thoma Bravo Portfolio
Owns AWS and Azure platform architecture for multi-cloud modernization, including EKS/AKS patterns, GitOps, SRE, DevSecOps and long-term operability.
- Standardized platform and release patterns across 100+ microservices.
- Mentored 10+ platform engineers across cloud, Kubernetes, reliability and security.
Lead Cloud & Platform Architect
Boeing India
Owned cloud platform, DevOps, observability, DevSecOps and reliability architecture for high-throughput enterprise platforms.
- Standardized Kubernetes patterns for 120+ microservices and reduced MTTR by 40%.
- Delivered $1M+ annual cloud-cost optimization through FinOps practices.
Cloud Solutions Architect / Platform Architect
Tata Consultancy Services
Led cloud architecture, DevOps transformation, infrastructure automation and modernization over a 12-year tenure.
- Standardized CI/CD across 10+ application teams.
- Automated provisioning across 30+ application environments.
Technical Architect
Tech Mahindra
Led application architecture and engineering delivery for systems handling 200K+ daily transactions with 99.9% uptime.
Software Engineer
Cybage Software
Built foundations in distributed systems, backend services, debugging, performance optimization, automation and production support.
Credentials
Grounded in cloud, Kubernetes and engineering fundamentals.
Professional certifications and formal education documented in the résumé.
Certification
AWS Certified Solutions Architect – Associate
Certification
Microsoft Certified: Azure Solutions Architect Expert
Certification
Certified Kubernetes Administrator (CKA)
Shivaji University · 2005
Bachelor of Engineering, Information Technology
CDAC · 2006
Post Graduate Diploma in Advanced Computing
Ways to engage
Three paths to a useful conversation.
Available for Principal and Staff-level opportunities, focused consulting work and selected ongoing advisory engagements.
Executive opportunity
For organizations hiring a Principal, Staff or senior Cloud and Platform Architect to own consequential technical direction.
Discuss a Principal-level opportunityFocused consulting project
For a defined architecture assessment across cloud platforms, Kubernetes, delivery, observability, security or cost.
Discuss a platform challengeFractional architecture leadership
For scaling organizations that need ongoing senior architecture guidance, decision reviews, roadmaps and mentoring.
Explore fractional supportArchitecture notes
Practical perspectives for platform leaders.
Original, concise guidance on decisions that shape platform reliability, adoption and cost.
Golden paths should reduce decisions—not remove judgment.
A useful golden path standardizes the parts teams should not need to rediscover: security controls, telemetry, deployment mechanics and ownership signals.
Read the perspective
The strongest paths are opinionated at the platform boundary and adaptable at the workload boundary. They offer a supported default, make deviations visible and preserve an escape route for legitimate constraints.
Adoption is the real measure. If teams route around the platform, the path needs better usability, clearer value or a more honest understanding of workload differences.
More telemetry does not automatically produce faster recovery.
Incident response improves when signals share context, alerts are actionable and teams know which service outcomes matter.
Read the perspective
Start with the questions responders must answer: what changed, who is affected, where time is being spent and which dependency is failing. Then design metrics, logs and traces around those paths.
SLOs create the missing link between telemetry and customer impact. Without that link, observability can become an expensive collection project rather than an operating capability.
Cloud-cost optimization works when ownership reaches engineering.
Dashboards create visibility, but durable improvement needs resource ownership, utilization context and explicit trade-offs.
Read the perspective
Rightsizing without service context can exchange cost for reliability risk. The better operating model makes cost a design signal alongside latency, availability and delivery speed.
Platform defaults can do much of the quiet work: enforce tagging, expose unit economics, surface idle capacity and give teams feedback close to the decision point.
19+years connecting engineering decisions to production outcomes
About
Architecture that survives contact with production.
My work sits at the intersection of enterprise architecture, platform engineering, cloud infrastructure, Kubernetes, reliability, security, developer experience and cost governance.
The role is broader than selecting tools. It means making trade-offs explicit, defining standards teams can operate, creating paths engineers will actually adopt and connecting technical choices to business risk.
Experience across software engineering, application architecture, cloud modernization and platform leadership helps me move between detailed system behavior and the executive decisions around it.
01Prefer operable systems
A design is incomplete until ownership, recovery and change are understood.
02Make trade-offs visible
Architecture earns trust when constraints and consequences are explicit.
03Build internal capability
Standards, reusable paths and mentoring should leave teams stronger.
Start a conversation
Let’s discuss your platform, reliability or cloud architecture challenge.
Share the context, the decision in front of you and the outcome that matters. I’ll respond with a practical next step.
Professional recordDownload executive résumé
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