Ravi Menta
San Ramon
Summary
Seasoned engineering leader with over 12 years of experience driving technology innovation across diverse industries including social media, cybersecurity, mobile, automotive, and enterprise software. Proven track record of leading high-performing engineering teams, optimizing cloud infrastructure, and delivering mission-critical software solutions.
Overview
14
14
years of professional experience
Work History
IC5 (Staff Engineer)
Meta
Menlo Park, CA
04.2025 - Current
- Defined and operationalized SLI/SLO frameworks for Monetization ML training and inference pipelines, establishing alerting baselines across volume, CVR, calibration, and precision metrics.
- Improved Service Lab A/B test analysis by eliminating statistically insignificant transactions, increasing signal fidelity and reducing debugging cycles from hours to minutes.
- Conducted PCF mismatch audits across 5,000+ production configurations, identifying routing inconsistencies impacting model traffic and preventing revenue-impacting misconfigurations.
- Extended online model training lifecycle from
- Designed and implemented a Diff-Time Validation framework to detect incorrect Prediction Configuration Framework (PCF) routing updates prior to production rollout; backtesting indicated $2M+ immediate savings potential, scaling to $10M+ upon broader adoption.
- Reduced Time-to-Detect (TTD) and Time-to-Mitigate (TTM) by 75%+ by optimizing alert thresholds using time-of-day behavioral modeling, DoD/WoW validation, and pre/post-calibration drift detection.
Technical Lead / Staff Engineer
Lacework
Mountain View, CA
04.2021 - 08.2024
- Designed and implemented CI/CD pipelines transforming release cycles from bi-weekly deployments to on-demand production releases.
- Led a 3-person team to build a YAML-based API testing framework supporting performance, stress, and load testing; reduced test orchestration time from days to hours.
- Collaborated with cross-functional teams to define SLOs and SLIs, reducing operational toil and improving service reliability.
- Provisioned and maintained multi-environment EKS clusters using Terraform, reducing deployment time by 50% and ensuring consistent infrastructure state.
- Optimized Kubernetes autoscaling, S3 lifecycle policies, and Snowflake workload management, cutting infrastructure costs by $750K while improving workload elasticity.
- Containerized microservices with Docker and Kubernetes; integrated ArgoCD for GitOps-based delivery, improving deployment frequency by 40%.
- Integrated MLflow, Airflow, and RayTune into CI/CD pipelines, reducing ML training cycle time by 50%.
Tech Lead Manager (TLM)
MobileIron
Mountain View, CA
07.2017 - 03.2021
- Spearheaded evaluation and deployment of APM tooling, reducing MTTR by 40%.
- Led cross-functional coordination across time zones while mentoring engineers on performance engineering and production readiness.
- Designed and implemented AWS infrastructure for migration from on-prem systems, focusing on resilience, capacity planning, and autoscaling.
- Reduced cloud costs by up to 30% through instance right-sizing and autoscaling configuration tuning.
- Identified JVM memory leaks, lock contention, and performance bottlenecks, leading to a 30% improvement in response times and 25% reduction in resource utilization.
Staff Engineer
Tesla
Fremont, CA
05.2016 - 06.2017
- Built performance automation frameworks using Python, JMeter, Jenkins, and PowerShell, reducing test execution-to-result analysis time from 8 hours to 2 hours.
- Resolved production performance issues and migrated APM tools from New Relic to AppDynamics, driving cost savings through instrumentation optimization.
- Led performance testing and capacity planning strategy for AX Financial and Warp ERP systems.
Principal Engineer
Oracle
San Jose, CA
06.2012 - 04.2016
- Optimized system configurations based on peak load modeling and data volume projections, improving response times by 30%.
- Conducted large-scale performance analysis and capacity planning for enterprise financial systems.
- Automated JVM and system metrics collection using Java Flight Recorder (JFR) and custom instrumentation tooling.
- Architected migration of Hyperion Planning to a multi-user cloud deployment model.
Skills
- Python,
- Linux,
- Docker,
- Kubernetes (EKS),
- ArgoCD,
- MLflow,
- Airflow,
- RayTune,
- Evidently,
- FastAPI
- Flask
- JVM Analysis (ThreadDump, HeapDump),
- JMeter
- Locust
- Machine learning
- Continuous integration
- Continuous deployment
- System troubleshooting
Timeline
IC5 (Staff Engineer)
Meta
04.2025 - Current
Technical Lead / Staff Engineer
Lacework
04.2021 - 08.2024
Tech Lead Manager (TLM)
MobileIron
07.2017 - 03.2021
Staff Engineer
Tesla
05.2016 - 06.2017
Principal Engineer
Oracle
06.2012 - 04.2016