Data Engineer

Platform/DevOps Engineer (Q1 2026 hire)

Core Job to be Done

Own infrastructure reliability, observability, and cost optimization to support 9 production customers with 99.5% uptime SLA

Technical Delivery Requirements

Infrastructure Reliability

• 99.5% uptime SLA enforcement across all services
• Multi-region deployment for geographic redundancy (Premium tier)
• Automated failover: database replicas, load balancer health checks
• Disaster recovery: automated backups, point-in-time recovery (7-day window)
• Incident response: 15-minute detection SLA, 2-hour resolution for P0 issues

Observability & Monitoring

• Real-time dashboards: uptime, latency, error rates per customer
• Application metrics: API response times, invoice processing speed, validation accuracy
• Infrastructure metrics: CPU, memory, database performance, queue health
• Cost tracking: AWS spend per customer, AI API costs, storage costs
• Alerting: PagerDuty integration, on-call rotation, escalation policies

Security & Compliance

• Log management: SIEM tools (Splunk/Sumo Logic), 90-day retention
• Vulnerability scanning: Qualys/Tenable continuous scanning
• Penetration testing: annual external security audits
• SOC 2 Type II preparation: 6-month observation period (Q2 2026)
• DLP implementation: automated PHI/PII scanning in documents

Cost Optimization

• Infrastructure cost per customer: <$8,500/month target
• Right-size compute instances based on usage patterns
• Implement auto-scaling for variable workloads
• Optimize storage: lifecycle policies, data archiving
• Monitor AI API costs: model selection, caching strategies

Required Technical Skills

• Cloud expertise: AWS architecture (ECS, EKS, RDS, Lambda, S3, CloudFront)
• Infrastructure-as-Code: Terraform or CloudFormation mastery
• Container orchestration: Kubernetes production experience
• Observability tools: Datadog, New Relic, Prometheus, Grafana
• Security: SIEM, DLP, vulnerability management, SOC 2 compliance
• On-call experience: Incident response, postmortem processes
• Cost optimization: Cloud financial management, FinOps practices

Key Deliverables (Q1-Q2 2026)

• Implement 24/7 monitoring and on-call rotation
• Achieve 99.5% uptime across all customer environments
• Complete SOC 2 Type II audit preparation
• Reduce infrastructure cost per customer by 15%
• Build automated runbooks for common incidents