I am a software engineer specializing in infrastructure software and platforms, with extensive expertise in self-service platforms, internal developer platforms, and automation. Since 2020, I have been building scalable developer-centric tools that reduce complexity and focuses on business value, I am interested in high-impact principal roles in cloud, infrastructure software, networking software, or engineering platforms.
Experience
Technical lead in the development and implementation of the Infrastructure Self-Service Platform and Cloud Foundations. Technologies: Azure, GCP, Terraform, GitHub Actions, Python (Django), Golang, Ansible, Docker, Kubernetes, Rego.
- Infrastructure Self-Service Platform – Led development of a developer-centric self-service platform that enabled teams to provision cloud resources using secure templates. Reduces cycle time up to 98% from 3 weeks to under 1 hour through automation and standardized workflows.
- CI/CD Replatforming – Migrated pipelines from Jenkins to GitHub Actions by building reusable workflow blueprints and enforcing organizational policies and access controls, resulting in up to 25% faster deployments using managed cloud runners.
- Cloud Foundations (GCP & Azure) – Built secure, compliant infrastructure foundations across GCP and Azure for 20+ business units, improving the organization’s security posture through automated guardrails and standardized configurations
- Cloud Policies – Led modernization efforts to enforce security and operational policies using Rego, integrating policy-as-code practices across Terraform and Kubernetes codebases, deprecating custom webhooks and scripts.
- Infrastructure Automation & Orchestration – Led efforts to modernize Ansible tooling and infrastructure pipelines, accelerating adoption of GitHub-native solutions and improving delivery consistency through orchestration automation.
- Kubernetes Configuration Orchestration Tool – Designed and implemented a tool for managing cluster baseline configurations (network policies, pod security, RBAC) using Ansible and the Kubernetes Python SDK; automated ArgoCD onboarding to support self-service application deployment.
Field consultant involved in both pre-sales and client-facing projects for Sourced – Amdocs Cloud Professional Services Organization (PSO). Technologies: AWS, Kubernetes, ArgoCD, AWS CDK (Python), Terraform, GitHub, Amazon Neptune.
- Kubernetes Workload Platform – Designed and implemented a Kubernetes workload platform using ArgoCD and AWS CDK (Python), enabling secure, automated CI/CD pipelines for ASEAN financial institutions and reducing deployment time through elimination of manual steps.
- Graph-based Analytics Templates – Developed reusable templates for fraud detection and data analysis using Amazon Neptune Graph Database, accelerating data-driven decision-making for financial services clients.
- Application Modernization for Pre-sales – Led application modernization efforts in pre-sales engagements, migrating legacy monoliths to microservices using GitHub, AWS CDK, and Terraform—resulting in scalable templates adopted across Cloud PSO projects.
Developed and maintained cloud orchestration and automation features for OutSystems Cloud Platform (PaaS). OutSystems is a low-code PaaS used by thousands of enterprises around the world to host their mission critical applications. Technologies: AWS CDK (Python), FastAPI, Python (Flask), GitHub Actions, AWS CodePipeline, Azure DevOps, Terraform, Chef.
- Cloud Orchestration Capabilities – Designed and implemented cloud orchestration features including account tagging, disaster recovery automation, and encryption—enhancing infrastructure resilience and compliance.
- Cloud Provisioning APIs – Built centralized cloud provisioning APIs using AWS CDK (Python) and FastAPI, streamlining environment provisioning and improving scalability across cloud platforms.
- Deployment Automation – Automated deployment pipelines and release processes with GitHub Actions, AWS CodePipeline, and Azure DevOps, significantly reducing release cycle times and deployment errors.
- SRE Model (APAC Lead) – Served as the sole APAC developer in an SRE model, collaborating across global teams to ensure high availability and rapid incident response.
- Infrastructure Consistency & Automation – Improved infrastructure consistency and automation using Terraform and Chef, enabling repeatable and scalable operations.
Resolved application issues and improved support processes for Atlassian products across cloud and on-premise environments. Technologies: AWS, Python, Atlassian Jira, Confluence, Bitbucket, Jira Service Desk, REST APIs.
- Diagnosed and resolved complex technical issues in the Atlassian stack (Jira, Confluence, Bitbucket) for enterprise cloud and on-premise customers, ensuring high availability and user satisfaction.
- Improved team efficiency and customer experience by maintaining and expanding internal documentation and public knowledge base articles.
- Worked closely with Atlassian product teams to escalate bugs, contribute to root cause analysis, and recommend product improvements based on real-world usage.
Provided global support for Microsoft SQL Server and Windows Server at Infineon Technologies. Technologies: Microsoft SQL Server, Windows Server, PowerShell, T-SQL.
- Maintained and supported Microsoft SQL Server instances globally, ensuring high availability, performance, and minimal downtime.
- Executed SQL Server version upgrades and database restores, ensuring smooth transitions with zero data loss.
- Improved operational efficiency by automating installations and system tasks using PowerShell scripts.
- Developed custom database maintenance procedures, including stored procedures, triggers, and audit scripts, strengthening data integrity and security.
Education
Certificates
Awards
Awarded for contributions to Prudential Infrastructure Self-Service Platform and the IAM transformation within the self-service offering.
Languages
Skills
References
Please view my LinkedIn recommendations for references.