Eleanor – Kubernetes, AWS, CI/CD

A high-traffic crypto gaming and casino platform serving a global player base. Joined as SRE, taking ownership of production infrastructure reliability and working directly with engineering teams to maintain platform uptime, performance, and availability at scale.

• Transitioned Kubernetes horizontal pod autoscaling from resource-based scaling to application-specific metrics, reducing p95 application latency by 11%.
• Performed production EKS version upgrades with zero downtime, coordinating cluster and workload changes across teams to maintain service availability.

A digital tabletop RPG (TTRPG) platform built from scratch. Joined as founding DevOps engineer, taking the product from zero infrastructure to production — owning the full cloud stack across AWS, Kubernetes, CI/CD, observability, reliability, security, and cost management.

• Designed and maintained all cloud infrastructure as the sole DevOps engineer, owning every layer from networking to application deployment.
• Developed and presented a pillar-based infrastructure roadmap (security, reliability, CI/CD, observability, cost optimization) to the CTO and CEO, securing approval to scale from non-production to production-ready operations.
• Managed day-to-day Kubernetes (EKS) cluster operations — maintenance, improvements, and oversaw all deployments.
• Implemented horizontal and vertical scaling of backend systems to support 30k+ concurrent users.
• Created Disaster Recovery Playbook achieving RPO of 4 hours and RTO of 2 hours.
• Led migration from CloudWatch/OpenSearch to Datadog — researched vendors, ran demos, negotiated contracts, and led decommissioning — cutting monitoring costs by 38%.
• Automated deployment workflows for Android, iOS, and Steam builds, enabling releases in under 1 hour.
• Right-sized cloud infrastructure based on usage patterns, reducing operational costs by 33%.
• Built and optimized CI/CD pipelines across GitHub Actions for both frontend and backend teams.

A consulting role within a major cloud provider's professional services division, focused on accelerating DevOps maturity and cloud modernization for enterprise clients. Engagements spanned Kubernetes platform setup, landing zone architecture, HIPAA-compliant guardrails, and scalable CI/CD patterns across healthcare, manufacturing, and other industries.

• Created technical roadmaps for enterprise organizations to improve DevOps maturity across cloud environments.
• Built a CI/CD pipeline using Terraform and Azure DevOps for an application hosted on AWS EKS, achieving a recovery time of 10 minutes.
• Reduced client AWS account creation and baseline runtime by 15% by improving automation in a Python codebase.
• Implemented HIPAA-compliant security guardrails for a client cloud landing zone on AWS.
• Mentored junior consultants through solution reviews, check-ins, and internal workshops.

A hands-on cloud engineering role within a major cloud provider's professional services division, delivering infrastructure and automation projects for enterprise clients. Covered CI/CD automation, cost optimization, data engineering, and cloud foundation setup across diverse client environments.

• Automated UI testing for a client's CI pipeline using Java, Selenium, and AWS Device Farm, strengthening release reliability.
• Conducted cost analysis across 5 client applications, surfacing actionable recommendations that identified $700K in AWS cloud savings.
• Built an ETL pipeline for a client enterprise Data Lake using AWS LakeFormation.

A cloud infrastructure and full-stack engineering role at a major US bank during their large-scale migration from on-premises data centers to AWS. Contributed to internal tooling that automated the provisioning of foundational AWS resources — accounts, networking, and core infrastructure — for engineering teams across the organization.

• Built full-stack web application using React, Node.js, and Express to automate workflow between developer request intakes and cloud infrastructure provisioning.
• Built a Python API using GraphQL to retrieve metadata from RDS PostgreSQL, supporting internal tooling.
• Reduced AWS account creation process from 45+ minutes to 15 minutes by migrating provisioning into a serverless pipeline using Step Functions and AWS Lambda.