David Sugianto▋

Platform Engineer

// In progress — details coming soon.

Site Reliability Engineer

// Engineer site reliability solutions focusing on platform engineering to deliver predictive capacity planning, SDLC analytics, and unified service metadata. Implement large-scale cloud migration automation, ensuring high availability and multi-VDC resilience for critical services.

• Designed and built a predictive capacity planning system using the Facebook Prophet framework to convert GMV/QPS forecasts into TCE infrastructure machine specs for Tokopedia peak campaigns, adopted by SRE teams since March 2026 across 8+ major promotional events (PayDay, Double Date, Ramadan), supporting up to $25.9M GMV per peak day and 58,000 cores while holding peak utilization to 20–45% and eliminating assumption-based provisioning.
• Built an SDLC analytics platform tracking 27 quality metrics across 36 engineering teams (segmented by Overall Tokopedia, C-End, and Developer Platform), eliminating manual reporting (5 engineers → 0) and enabling real-time quality insights for bug resolved rates of 94.44% (online) and 100% (P0) for leadership decision-making.
• Architected a unified service metadata platform consolidating 10+ systems into a single source of truth across 1,502 resources (761 TCE + 741 Non-TCE PSMs) and 22 teams, with real-time resource data ingestion (TCE/Redis/RDS) achieving 96.6% HA coverage and 100% multi-VDC resilience for P0/P1 services surfacing 50 HA and 20 cost-optimization recommendations for Tokopedia RD teams.
• Engineered automation and observability platforms for large-scale cloud migrations—reducing manual effort by 90%, cutting migration planning from 15 days to 1 hour for 200+ services, and providing real-time visibility into infrastructure health, migration progress, and cutover readiness for SRE teams.
• Onboarded 38 critical services to GEC observability standards (Success Rate, QPS, Latency) with 99.9% uptime monitoring, and delivered a GMV/P0 business-scenario monitoring dashboard covering 6 P0 scenarios with 50 monthly active users across SRE and engineering teams.
• Supported cross-functional migration of 50+ online applications to ByteCloud with zero critical incidents and <15 minutes downtime per service, validating readiness and monitoring post-migration health.
• Authored the SRE Observability Operation Handbook, cutting new SRE onboarding time by 40% and reducing incident escalations by 25%.

System Engineer

// Engineered FinOps and infrastructure automation initiatives for a high-traffic e-commerce platform. Managed Infrastructure as Code (IaC), built distributed event systems, and maintained system reliability through rigorous incident response and continuous improvement processes.

• Engineered a cloud cost platform integrated with Looker Studio and BigQuery for unified cost reporting, budgeting, and resource planning.
• Developed a centralized service inventory platform through providing full visibility into service configurations, dependencies, and infrastructure details information.
• Built a distributed event platform using Pub/Sub and Go to track cloud infrastructure lifecycle changes and drive automation workflows.
• Managed infrastructure as code with Terraform and Ansible, improving reproducibility, reducing provisioning time, and eliminating manual configuration drift.
• Independently handled on-call support and incident response, maintaining 99.9%+ system uptime across production infrastructure and platform services.
• Collaborated on post-mortems and RCA processes, driving continuous improvement in system reliability and MTTR.

DevOps Engineer

// Architected and maintained foundational cloud operations, focusing on containerization, CI/CD pipeline standardization, and infrastructure automation. Deployed comprehensive monitoring stacks to ensure real-time observability and system health.

• Architected containerized infrastructure (Docker/Nginx) and engineered GitLab CI/CD pipelines, standardizing delivery and boosting deployment reliability.
• Automated infrastructure provisioning with Ansible, eliminating repetitive tasks and reducing manual effort by 90%.
• Deployed Prometheus/Grafana monitoring stacks for real-time system and application observability, accelerating incident response and improving uptime.
• Provisioned and maintained self-hosted PostgreSQL/MySQL databases via Docker, delivering secure, scalable data services for internal applications.