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Leo Panda

Production Engineer
PROFESSIONAL SUMMARY

Production Engineer with 6 years of experience supporting high-availability SaaS platforms, cloud infrastructure, Linux systems, Kubernetes, and incident response. Skilled in automation, observability, capacity planning, CI/CD, and reliability improvements that reduce downtime and accelerate release velocity. Known for partnering with software engineering teams to improve production readiness and operational performance.

PROFESSIONAL SKILLS
Production Systems & Reliability
Linux AdministrationKubernetesDockerAWSHigh Availability
Automation & DevOps
PythonBashTerraformAnsibleGitHub Actions
Monitoring & Data Stores
PrometheusGrafanaDatadogELK StackPostgreSQL
PROFESSIONAL EXPERIENCE
Nexora Cloud Services
Cloud SaaSB2B Technology
Austin, TX
Production Engineer
KubernetesReliability Engineering
Aug 2021 - Present
  • Managed Kubernetes-based production services handling 42 million monthly transactions, improving platform availability from 99.90% to 99.97% within twelve months.
  • Built Python and Bash automation for deployment validation, log collection, and rollback workflows, reducing incident triage time by 38%.
  • Partnered with software engineers to define SLOs, readiness checks, and runbooks for 18 services before major customer-facing releases.
  • Optimized AWS autoscaling policies and database connection pooling, lowering monthly infrastructure spend by 16% while maintaining peak traffic performance.
  • Led post-incident reviews for severity-one outages, translating root causes into prioritized reliability backlog items completed within two sprints.
BrightCart Technologies
E-commerceHigh Traffic
Dallas, TX
Systems Operations Engineer
Linux OperationsInfrastructure Automation
Jun 2018 - Jul 2021
  • Supported Linux application servers and CI/CD pipelines for e-commerce workloads, sustaining 99.9% uptime during seasonal traffic spikes.
  • Implemented Prometheus and Grafana dashboards covering latency, error rates, saturation, and queue depth, improving alert precision by 31%.
  • Automated environment provisioning with Terraform and Ansible, reducing new service setup time from two days to under three hours.
  • Resolved recurring PostgreSQL performance issues through query analysis, indexing recommendations, and maintenance scheduling, decreasing slow transactions by 24%.
SELECTED PROJECTS
Production Observability Modernization - Production Engineering Lead
Jan 2024 - May 2024
  • Consolidated service metrics, logs, and alerts into standardized dashboards used by engineering, support, and operations during weekly reliability reviews.
  • Reduced noisy alerts by 45% by mapping alert thresholds to customer-impacting SLOs and eliminating duplicate infrastructure notifications.
  • Created incident response templates and escalation paths that improved on-call handoff quality and shortened average resolution time by 22%.
Zero-Downtime Deployment Pipeline - Automation Engineer
Mar 2023 - Aug 2023
  • Designed blue-green deployment workflows for containerized services, enabling weekly releases without planned production maintenance windows.
  • Added automated smoke tests and rollback gates to CI/CD jobs, cutting failed release recoveries from 50 minutes to 12 minutes.
EDUCATION
University of Texas at Dallas
Computer ScienceEngineering
Richardson, TX
Bachelor of Science in Computer Science
Sep 2016 - May 2020

Relevant coursework: operating systems, distributed systems, database systems, computer networks, software engineering.

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