Dev Shah
Staff Software Engineer @VTS
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WORK HISTORY
Staff Software Engineer @VTS
SRE- Unlocked a $3M deal by scaling a legacy app via performance eng. & migrating cronjobs to Temporal- Built multi-region load testing in CI, uncovering bottlenecks & improving latency by 30% via DB tweaks- Cut MTTD by 50% across applications by designing a unified, end-to-end monitoring pipeline in Datadog- Established incident response automation, tooling, policy & mentored teams on on-call excellenceNetworking- Saved ~$250K/year by designing an S3-backed CI cache for different layers - Improve Istio observability - centralized logs, tracing, monitors to reduce incidents by 90%Infrastructure & Devex- Led large-scale AWS migrations (ECS/EC2 → EKS), solving complex challenges like overlapping CIDRs, data replication and vendor consolidation- Solved IP exhaustion issues in high-density, bursty Kubernetes environments- Built local dev using docker-compose to have a repeatable setup across developer machines & CI to spin up monoliths/microservices locally within seconds- Developed centralized IaC modules with security, scaling & cost best practices unlocking IDP capabilityCI/CD- Led the transformation to CD for multiple apps addressing automated tests, CI flow, operational readiness, process & cross-team collaborationLeadership & application side impact- Defined and owned the long-term infrastructure roadmaps aligned with business goals- Advised and helped in planning application team roadmaps and prioritization- Led multi-quarter, cross-org initiatives that became “golden paths” for teams- Advisor to application teams on architecture, observability, resiliency, testing, & delivery- Delivered sustained, compounding improvements to mission-critical systems at scale
EDUCATION
Queen's University
Master of Science - MS, Computer Science
SVKM's Narsee Monjee Institute of Management Studies (NMIMS)
Bachelor of Technology (B.Tech.), Computer Engineering
SKILLS
ABOUT DEV SHAH
Quality centric SRE, continuous improvement enabler & philomath.Long version:· Versatile professional with a blended experience of 10+ years in DevOps, SRE, testing & ML· Autodidact polymath with a strong CS background (B Tech, MSc)· Author of 3 research papers in top conferences on applying ML techniques for stock market forecasting· Independent medium writer/editor of Tenets publication· 13+ years of investing experience· Passionate about automation, MLOps, investing & sharing knowledge
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