Engineering Transformation · Platform Engineering · DevOps & SRE · AI-Driven Operations · GCC Leadership · 20+ Years
Technology executive with a proven record of building and scaling global engineering operations — transforming platforms, people, and processes to deliver measurable business outcomes at Fortune 500 scale. Trusted advisor to CTOs, VPs, and CFOs across APAC, Europe, and North America.
| Vendor / Platform | Domain | Scale | Engagement Level |
|---|---|---|---|
| Atlassian (Jira, Confluence, Rovo AI) | Dev Collaboration & AI | 5,000+ users | Strategic Partner |
| GitLab | CI/CD & Source Control | Enterprise-wide | Strategic Partner |
| Microsoft Azure | Cloud Infrastructure | Multi-region | Core Platform |
| DevNext | Internal Dev Platform & CI/CD | Global rollout | Platform Owner |
| Zabbix (InfraNext) | Infrastructure Observability | 6+ critical platforms | Platform Owner |
| XRAY (Tricentis) | Test Management | QA teams globally | Managed |
Designed and implemented a full SRE operating model covering SLI/SLO definition, error budget policies, and reliability scorecards for all major engineering platforms.
Established structured on-call rotations across APAC, Europe, and NA. Introduced blameless postmortem practices and automated alerting through observability tooling.
Led deployment of end-to-end observability across application and infrastructure layers; integrated dashboards for real-time SLO tracking at executive level.
Shifted security left by embedding automated SAST, DAST, and dependency scanning into all delivery pipelines, reducing late-stage vulnerability exposure.
Led end-to-end Rovo AI implementation across Atlassian ecosystem. Defined 9 business use cases, built governance model, and established AI champion network across engineering teams.
Standardized AI tooling across documentation, code review, test generation, and knowledge discovery workflows, reducing manual effort across 5,000+ users.
Designed future-state agentic SDLC roadmap integrating AI agents for autonomous PR reviews, pipeline triage, and incident correlation — presented to CTO leadership.
Deployed AI-powered Confluence knowledge platform reducing onboarding time for new engineers and accelerating cross-team knowledge sharing across global sites.
Established Platform Engineering operating model from scratch. Built self-service IDP with Golden Paths, reducing environment provisioning from days to hours for 5,000+ developers.
Led enterprise-wide GitLab CI/CD overhaul including pipeline standardization, IaC integration (Terraform), and DevSecOps automation across all product engineering teams.
Own platform governance for DevNext, Visteon's internal developer platform that standardizes engineering workflows, automates CI/CD, and embeds quality and security controls — converting engineering effort from manual activity into product innovation.
Built Infrastructure-as-Code frameworks using Terraform and Azure for automated provisioning, reducing manual infra requests and improving delivery speed.
Built on Zabbix, InfraNext centralizes real-time monitoring for GitLab, Jenkins, Artifactory, Klocwork, Kubernetes, and developer environments — eliminating blind spots and giving proactive, centralized visibility into the health of platforms supporting thousands of developers.
Led cross-functional APAC and NA PMO license audit. Delivered CFO-targeted presentation with cost impact analysis and cleanup recommendations, achieving significant license cost reduction.
Identified and governed significant storage growth across the Jira Cloud instance. Built governance dashboards, cleanup workflows, and a storage policy framework presented to VP leadership.
Managed enterprise renewal negotiations for Atlassian and GitLab; drove SLA alignment, early access to new product capabilities, and multi-year cost optimization agreements.
Designed cost-per-developer models and platform ROI frameworks for executive reporting. Presented quarterly cost optimization progress directly to CFO and VP stakeholders.
Beyond operating platforms, I identify unmet developer and leadership needs and build the products that solve them — end to end, from concept to enterprise rollout. Two flagship examples below.
Developers relied on multiple disconnected platforms and teams for access requests, tool onboarding, process documentation, incident reporting, and escalations — costing engineering hours and slowing new-hire ramp-up.
Built a one-stop self-service portal integrating GitLab, Jira, Confluence, CI/CD, DevNext, and the engineering knowledge base — a single front door for every developer need.
Fewer repetitive tickets and lower support overhead per developer.
Standardized escalation paths, independent of any one person.
New tools and teams plug into one model, not a new process each time.
Support scales to thousands of developers without 1:1 headcount growth.
"The Developer Portal became the digital front door for engineering services — shifting support from reactive to self-service, and freeing developers to focus on building, not searching."
Leadership had no real-time view of delivery across 5,000+ engineers in sprint-based teams — visibility relied on manual status updates and lagging reports.
Built a system that reads Jira sprint data directly — giving each engineer a daily output summary at login, and leadership a global, vertical-by-vertical contributor dashboard.
Removes manual status reporting and roll-ups across 50+ teams.
Delivery visibility independent of any one manager's reporting habits.
A contribution baseline that extends cleanly as new verticals join.
Workload and performance managed at scale without growing PMO headcount.
"Contributor Analytics turned delivery visibility from a manual, lagging report into a live, evidence-based view — giving leaders the data to coach, plan, and scale with confidence."
The next evolution of the Developer Portal: an AI-enabled engineering productivity platform that integrates enterprise knowledge, DevOps tooling, and automated support workflows. Using Generative AI and a RAG (Retrieval-Augmented Generation) architecture across enterprise systems, the platform will deliver intelligent self-service support, accelerate onboarding, reduce ticket volumes, and give every developer instant access to organizational knowledge — extending the portal from a request hub into an always-on engineering co-pilot.
I don't build platforms. I build the operating systems that allow thousands of engineers to do their best work — reliably, securely, and at the speed the business demands.
AI agents for autonomous incident triage, predictive SLO breach detection, and self-healing pipelines — reducing on-call cognitive load by 60%.
Evolving Internal Developer Platforms into product-led capabilities with NPS measurement, feature roadmaps, and developer experience as a first-class KPI.
Zero-trust DevSecOps pipelines with policy-as-code, SBOM enforcement, and automated compliance gates — security built in, not bolted on.
Enterprise-wide DORA metrics, developer productivity analytics, and AI-driven engineering insights powering CTO-level decision-making.
Kubernetes-native SRE, multi-region HA architectures, and AWS-native observability frameworks delivering 99.99% SLO targets for SaaS product portfolios.
Scaling GCC engineering capabilities as strategic global delivery hubs — owning product reliability, platform innovation, and cost-efficient engineering at scale.
I have built and operated engineering platforms at genuine global scale — 5,000+ engineering users across APAC, Europe, and North America — managing distributed teams, 24×7 operations, and multi-region platform governance simultaneously. I don't just manage globally; I think globally and build systems that scale without my direct intervention.
I own the financial narrative of engineering platforms — from annual budget planning ($4M+) to CFO-level cost impact presentations. I have driven license rationalization, vendor renegotiation, and platform consolidation that delivered $1.2M+ in demonstrable cost avoidance. I speak the language of finance as fluently as I speak the language of engineering.
I led one of the first enterprise AI adoption programs in my sector — deploying AI tooling across the full SDLC, building governance frameworks, launching an AI champion network, and defining 9 measurable use cases that delivered a 30% productivity improvement. I am not experimenting with AI; I am operationalizing it at enterprise scale.
I have designed and delivered Internal Developer Platforms, Golden Paths, and self-service infrastructure ecosystems that eliminate toil and accelerate engineering velocity. My platforms are not tools — they are strategic assets that compress developer feedback loops, reduce operational overhead, and directly improve business delivery speed.
Managing 8+ strategic vendor relationships is not a procurement function for me — it is a competitive capability. I engage vendors at the executive level, negotiate SLAs, shape product roadmaps, and secure early access programs. My vendor governance frameworks have become models referenced by senior Atlassian and GitLab partner teams.
My impact is felt in the boardroom as much as the backlog. I have built and presented CFO-targeted investment cases, VP-level operational reviews, and CTO-facing strategic roadmaps. I manage 6 direct managers and an extended team of 50+ engineers — developing leaders, not just delivering projects, and building organizational capability that outlasts my direct involvement.