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Backend Engineer
marcus@portfolio:~$ cat about.txt
Backend engineer and infrastructure specialist. I build the systems that other systems depend on. 10 years of experience in distributed systems, cloud infrastructure, and making things that don't go down. I think in terminals, dream in YAML, and breathe in logs.
marcus@portfolio:~$ ls experience/
| ROLE |
COMPANY |
PERIOD |
| Staff Platform Engineer |
CloudScale Systems |
Feb 2021 - Present |
| Senior Backend Engineer |
HighTraffic Inc. |
Jun 2017 - Jan 2021 |
| Site Reliability Engineer |
ReliableOps |
Aug 2014 - May 2017 |
marcus@portfolio:~$ skills --format=bar
[Backend]
Go / Rust
[██████████████████░░]
90%
Python
[█████████████████░░░]
88%
Node.js
[█████████████████░░░]
85%
PostgreSQL / Redis
[██████████████████░░]
90%
[Infrastructure]
Kubernetes / Docker
[██████████████████░░]
92%
Terraform / Ansible
[█████████████████░░░]
85%
AWS / GCP
[█████████████████░░░]
88%
Linux / Bash
[███████████████████░]
95%
[Practices]
CI/CD Pipelines
[██████████████████░░]
90%
Monitoring / Observability
[█████████████████░░░]
85%
Security / Hardening
[████████████████░░░░]
80%
[AI / ML Ops]
LLM Infra / RAG
[████████████████░░░░]
82%
Prompt Engineering
[███████████████░░░░░]
78%
Vector Databases
[███████████████░░░░░]
75%
marcus@portfolio:~$ ls projects/
→
deploy-master
[Go, Kubernetes, Helm, Prometheus]
Zero-downtime deployment orchestrator for containerized applications. Blue-green and canary strategies, automated rollback on health check failure, Slack notifications. Used by 40+ teams internally.
→
api-gateway
[Rust, Tokio, Redis, OpenTelemetry]
High-performance API gateway handling 2M requests/day. Rate limiting, JWT auth, request transformation, and circuit breaker patterns. P99 latency under 15ms.
→
infra-as-code
[Terraform, AWS, Python, GitHub Actions]
Complete infrastructure-as-code repository managing 200+ cloud resources across 3 AWS regions. Terraform modules, automated drift detection, and cost optimization alerts.
→
monitoring-stack
[Grafana, Prometheus, Loki, Jaeger]
Custom observability stack with metrics, logs, and traces. Automated alerting, runbook integration, and incident timeline reconstruction. MTTR reduced from 45min to 8min.
→
llm-ops-gateway
[Python, FastAPI, pgvector, LangChain, Kubernetes]
Self-hosted LLM inference gateway and RAG platform for internal engineering tools. Routes prompts across models, caches embeddings in a pgvector store, and enforces token budgets and PII redaction per team. Powers an on-call assistant that drafts incident summaries from logs and traces, cutting postmortem write-up time by 60%.
marcus@portfolio:~$ cat metrics.txt
Uptime SLA
99.99%
Deployments This Year
2500+
Servers Managed
200+
Incidents Resolved
500+
marcus@portfolio:~$ contact --info
$ ./contact --init
Need someone to tame a flaky pipeline, scale a backend, or get your deploys back under control? Send me a message and I'll respond within one business day. No tickets required.
marcus@portfolio:~$ cat achievements.txt
AWS Certified Machine Learning - Specialty
Amazon Web Services
2025
View credential →
marcus@portfolio:~$ █