Tyler Lyons
@tylerlyons
Senior backend and SRE engineer building scalable distributed data pipelines.
What I'm looking for
I’m a Senior backend and SRE-focused engineer with more than 10 years building and operating distributed systems, high-throughput data pipelines, and microservices across startup and enterprise environments. I combine 0-to-1 product work with scaling mature platforms and cross-functional delivery.
In my current role, I spearheaded reliability work for distributed systems by hardening Kubernetes clusters and AWS networking to improve platform uptime to 99.95% across 12 services. I architected a data ingestion pipeline using Kafka, PostgreSQL, and S3 to capture sensor telemetry—raising ingest capacity to 3 TB/day and reducing lag by 68%—and I scaled availability with Prometheus and Grafana dashboards tied to SLOs, lowering MTTR by 47% during critical incidents.
Previously, as a Lead Backend Engineer, I architected a microservices architecture in Node.js and TypeScript to replace a monolith, launching 18 services and improving developer velocity by 3x. I scaled data pipelines with Kafka, Airflow, and PostgreSQL to process over 500M events/month, built backend APIs with Express, GraphQL, and gRPC for React/React Native clients, and strengthened observability with Prometheus, Grafana, ELK, and Sentry—reducing customer-impacting incidents by 54% and improving SLA compliance.
Across roles, I’ve been hands-on with CI/CD and automation using Terraform, Helm, GitHub Actions, and Argo CD/Flux, while driving incident and change management through RCAs, postmortems, and problem management practices. I mentor engineers on SRE practices and incident response, and I enjoy turning complex distributed systems into dependable, measurable platforms.
Experience
Work history, roles, and key accomplishments
Orchestrated platform automation with Ansible and Docker, cutting manual provisioning time by 88% across 40+ environments. Improved monitoring and troubleshooting with Nagios/Prometheus/Grafana and ELK, reducing alert noise by 31% and mean time to detect by 42%.
Built REST endpoints in Python and Flask to prototype internal tooling, reducing manual reporting by 70% for product analytics. Integrated PostgreSQL and Redis caching to improve dashboard response times by 58%, and raised test coverage from 12% to 62% using Selenium and PyTest.
Education
Degrees, certifications, and relevant coursework
Colorado School of Mines
Master of Science in Computer Science, Computer Science
2015 - 2016
Earned a Master of Science in Computer Science from Colorado School of Mines (2015–2016).
Colorado School of Mines
Bachelor of Science in Computer Science, Computer Science
2011 - 2014
Earned a Bachelor of Science in Computer Science from Colorado School of Mines (2011–2014).
Tech stack
Software and tools used professionally
Postman
Kubernetes
Jenkins
CircleCI
React Native
MySQL
PostgreSQL
MongoDB
SQLite
Cassandra
InfluxDB
Node.js
Spring Boot
.NET Core
Next.js
NestJS
.NET
Tailwind CSS
Redis
Terraform
JavaScript
HTML5
Java
Kotlin
JSON
PowerShell
F#
Fluentd
Kafka
RabbitMQ
PagerDuty
Grafana
Prometheus
OpenTelemetry
Nagios
Windows
Datadog
GraphQL
gRPC
Elasticsearch
Avro
Ansible
Serverless
Kafka Streams
pytest
Airflow
Root Cause
TimescaleDB
SQL
Clickhouse
MinIO
Playwright
Argo CD
Bash
Make
Bridge
Beam
Android
Availability
Location
Authorized to work in
Job categories
Skills
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