SRE Lead & Monitoring Consultant

VALUE SPECTRUM TECHNOLOGIES LLC
Phoenix, AZ, United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Test Suite Amazon Web Services Audit Trail Microsoft Azure Bash Shell Cloud Computing DevOps Disaster Recovery Fraud Prevention and Detection Monitoring of Systems Python (Programming Language)
+25 more
Machine Learning Node.Js PCI Data Security Standards Performance Tuning Reliability Engineering Site Reliability Engineering Practices Ansible Prometheus Runbook Datadog Scripting Google Cloud Grafana Multi-Cloud HybridCloud Kubernetes Infrastructure Automation Frameworks Performance Monitor Apache Kafka Cloud Optimization Terraform Splunk Docker Elk Stack Golang

Job description

SRE Practice Development

  • Assess operational maturity and build SRE transformation roadmap
  • Establish SLOs, SLIs, and error budgets for critical services
  • Design incident management processes and on-call strategies
  • Implement chaos engineering and resilience testing
  • Mentor teams on SRE principles and best practices

Monitoring & Observability

  • Deploy and configure Datadog, Splunk, Grafana, and Prometheus
  • Implement metrics collection, log aggregation, and APM
  • Build custom dashboards and alerting configurations
  • Set up anomaly detection and intelligent alerting
  • Configure automated health checks and remediation
  • Establish golden signals monitoring (latency, traffic, errors, saturation)

Reliability & Compliance

  • Conduct reliability reviews and performance optimization
  • Design disaster recovery and failover procedures
  • Implement security monitoring and audit logging
  • Configure fraud detection and transaction monitoring
  • Create runbooks and operational documentation, * Fully configured monitoring stack with Datadog, Splunk, Grafana, and Prometheus
  • SLO/SLI definitions and error budgets
  • Custom dashboards, alerting, and automated remediation
  • Incident management framework and runbooks
  • Chaos engineering test suite

Requirements

Experience:

    • 7+ years in Site Reliability Engineering, DevOps, or infrastructure engineering
  • 3+ years in SRE leadership roles.
  • The ideal candidate will possess strong expertise in Java, Node.js, Kafka, AWS Cloud, and modern AIOps/Observability practices.
  • Implement proactive monitoring and predictive alerting using AIOps platforms and machine learning-driven insights.
  • 3+ years hands-on experience with Datadog, Splunk, Grafana, and Prometheus.
  • Strong hands-on experience with Java and Node.js application architectures.
  • Previous experience in fintech or regulated industries.
  • Proven track record building SRE practices from scratch.

Technical Skills

  • Deep understanding of SRE principles, error budgets, and SLO/SLI frameworks.
  • Expertise with cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Proficiency with Kubernetes, Docker, and infrastructure as code (Terraform, Ansible).
  • Strong programming/scripting skills (Python, Go, Bash).
  • Experience with incident management and post-mortem culture.
  • Knowledge of compliance requirements (SOC 2, PCI-DSS, ISO 27001).

Soft Skills

  • Exceptional leadership and mentoring abilities.
  • Strong communication and stakeholder management.
  • Data-driven decision-making approach.
  • Collaborative mindset with ability to drive cultural change.

Preferred Qualifications

  • Cloud certifications (AWS, Google Cloud Platform, Azure) or Kubernetes certifications (CKA/CKAD).
  • Experience with ELK stack.
  • Background in cloud cost optimization.
  • Multi-cloud or hybrid cloud experience.

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