Backend Infrastructure Engineer
Building systems that scale, securing by design, optimizing for reliability
Badges reflect representative scale I've operated; see "Recent Engineering Wins" for context.
| 🏗️ Infrastructure | 🔐 Security | ⚡ Performance |
|---|---|---|
| Design distributed systems that gracefully handle failure modes, scale horizontally, and maintain strong consistency guarantees where needed. | Implement zero-trust architectures with defense-in-depth strategies, automated compliance, and incident response playbooks. | Optimize critical paths with profiling, caching strategies, and resource management to achieve sub-100ms response times. |
"Systems that can't be operated shouldn't be built. Security that isn't automated won't happen. Performance that isn't measured doesn't exist."
🔧 Backend Patterns I Live By
| Pattern | Problem Solved | Impact |
|---|---|---|
| Transactional Outbox | Distributed transactions across services | Guaranteed event delivery |
| Circuit Breaker + Timeout | Cascading failures from flaky dependencies | Fast failure, system stability |
| Idempotency Keys | Duplicate requests, retry safety | Zero data corruption |
| CQRS (Selective) | Read/write performance mismatches | 10x read optimization |
| Saga Pattern | Long-running business processes | Reliable compensation |
🚀 DevOps Practices That Ship
- Build → Test → SBOM → Scan → Sign
- OIDC to cloud (zero long-lived secrets)
- Progressive deployment with rollback
- Automated compliance validation
- Distributed tracing with correlation IDs
- RED + USE metrics dashboards
- SLO/SLI with error budgets
- Automated alerting with runbooks
- Terraform with policy gates
- Immutable infrastructure
- Auto-scaling with cost optimization
- Multi-region disaster recovery
- SAST/DAST in every pipeline
- Container image vulnerability scanning
- Secret rotation and management
- Compliance as code (SOC2/GDPR)
💡 Recent Engineering Wins
- Microservices Migration: Decomposed monolith to 15 services with zero-downtime deployment pipeline
- Security Hardening: Implemented zero-trust architecture with automated policy enforcement
- Performance Optimization: Reduced P99 latency from 2.3s to 180ms through caching and query optimization
- Cost Engineering: Right-sized infrastructure and implemented intelligent auto-scaling, saving $200K annually
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⚡ Core Languages
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🗄️ Data & Messaging
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☁️ Cloud & Infrastructure
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🔐 Security & Observability
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Stack chosen for production reliability, not resume padding
| 🔥 Production Work | 🧪 Learning & Experiments |
|---|---|
| • Building event-driven microservices with Go + NATS • Implementing policy-as-code security with OPA/Rego • Optimizing Postgres for high-throughput analytical queries • Designing multi-region disaster recovery architectures |
• Rust for embedded systems and WebAssembly • eBPF for observability and security monitoring • Istio service mesh for zero-trust networking • WASM-based serverless runtime architectures |
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