Senior Site Reliability Engineer

NATURE OF WORK

• Lead architectural design and implementation of fault-tolerant, self-healing infrastructure across cloud and hybrid environments
• Drive organization-wide automation initiatives, eliminating manual operations through advanced IaC and CI/CD frameworks
• Own technical program leadership for reliability initiatives spanning multiple teams and services
• Strategic management of OPEX and CAPEX budgets with cost optimization accountability
• Deep expertise in compliance frameworks (CIS, PCI-DSS, BSP) with ability to architect compliant solutions
• Establish and enforce cloud governance policies, account structures, and organizational standards across AWS/Azure/GCP environments

DISPLAYED SKILL MASTERY

• Architect and implement advanced CI/CD pipelines with progressive delivery patterns (canary, blue-green)
• Design and maintain enterprise-grade Infrastructure-as-Code modules with reusability and governance
• Lead complex incident resolution and conduct deep-dive root cause analysis
• Drive adoption of emerging technologies and reliability patterns across engineering teams
• Mentor Senior SREs on architectural decisions and reliability best practices
• Design and implement cloud landing zones, multi-account strategies, and policy-as-code frameworks
• Build comprehensive SLI/SLO frameworks with automated alerting, error budget tracking, and burn rate analysis
• Correlate metrics across distributed systems using APM, distributed tracing, and custom dashboards

EXPECTED RESULTS

• Build and maintain self-service platforms enabling developer autonomy while ensuring reliability standards
• Implement chaos engineering practices and resilience testing frameworks
• Lead R&D initiatives evaluating emerging technologies for production adoption
• Define and enforce SLI/SLO frameworks across services, driving error budget policies
• Architect solutions that materially improve system availability, performance, and cost efficiency
• Conduct capacity planning and optimization initiatives across infrastructure domains
• Influence engineering decisions through architectural reviews and reliability assessments
• Enforce cloud governance through SCPs, IAM policies, resource tagging standards, and compliance automation
• Drive cloud cost optimization through FinOps practices, rightsizing, and resource lifecycle management
• Establish service health scoring systems with predictive alerting and anomaly detection
• Create self-service observability tooling enabling teams to define and monitor their own SLOs

REQUIRED QUALIFICATIONS

• Expert-level proficiency in Kubernetes (CRDs, Operators, multi-tenancy, advanced scheduling)
• Advanced Terraform expertise (custom providers, module design, automated testing)
• Deep Service Mesh knowledge (Istio traffic management, circuit breaking, rate limiting, mTLS)
• Proven experience building Internal Developer Platforms (IDP) with self-service workflows
• Advanced GitLab CI/CD and GitOps implementation (ArgoCD/FluxCD, multi-project pipelines)
• Expert-level WAF, API Gateway (Kong, Apigee, AWS APIGW), and network security implementation
• Strong software development skills in Go, Python, or Java with ability to review code for reliability impact
• Experience leading technical programs and cross-functional reliability initiatives
• Deep understanding of observability platforms (Dynatrace, Prometheus, OpenTelemetry) with custom integration experience
• Proven track record architecting microservices with high-availability and resiliency patterns
• Experience implementing AWS Organizations, Control Tower, Service Control Policies, and multi-account governance frameworks
• Proficiency in cloud policy-as-code tools (AWS Config, OPA, Sentinel) and compliance automation
• Knowledge of cloud security standards (CIS Benchmarks, AWS Well-Architected Framework, Azure/GCP best practices)
• Advanced expertise in Dynatrace, Datadog, or Grafana for building enterprise observability solutions
• Experience implementing SLO-based alerting, error budgets, and burn rate monitoring using Prometheus, Grafana, or commercial APM tools
• Proficiency in distributed tracing (Jaeger, Zipkin, OpenTelemetry) and log aggregation (ELK, Loki)
• Ability to design custom metrics, synthetic monitoring, and real user monitoring (RUM) strategies