Senior SRE Senior Site Reliability Engineer (SRE)

RECRUITER ADDITIONAL REQUIREMENT NOTES :

Orlando FL - Recruiter Focus: Target senior SRE candidates with strong experience in reliability engineering incident management SLO/SLI implementation using Nobl9 Kubernetes observability (OpenTelemetry Grafana Cloud AppDynamics) and AWS Well-Architected Framework reviews. Prioritize candidates who have led automation chaos engineering RCA-driven reliability improvements and large-scale production resilience initiatives.

JOB TITLE :

Senior SRE

SKILL CATEGORY :

Cloud: AWS

REQUIRED SKILLS :

WORK LOCATION :

Orlando FL

ONSITE / REMOTE :

Hybrid

SALARY :

$100000 - $150000 Yearly
**It is expected that our partners will come in at market rate to ensure we can always be competitive.**

Contract / Direct Hire :

DURATION :

Full Time

MUST BE INCLUDED WITH SUBMITTAL :

1. Full Legal Name
2. Phone
3. Email
4. Current Location
5. Rate
6. Work Authorization
7. Willing to relocate
8. Confirm this candidate is on or will be on your W2

This opportunity is competitive and the required turnaround time for quality talent is rather slim. With that please confirm whether or not youll have talent available for our review over the next 24-72 hours.

JOB DESCRIPTION :

Overview / Summary

We are seeking a Site Reliability Engineer (SRE) with 8-10 years of experience to drive reliability observability and resilience improvements across critical systems. This is a high-impact front-line operations role focused on real-time incident response proactive prevention continuous automation and reliability engineering for Tier-1 business-critical applications.

Key Responsibilities

Drive automation initiatives to improve system performance and operational efficiency.
Improve application reliability and availability by proactively identifying and mitigating risks.
Analyze production incidents and root cause analyses (RCAs) to eliminate recurring issues and reduce outages.
Define and manage Service Level Objectives (SLOs) Service Level Indicators (SLIs) and Error Budgets using Nobl9.
Conduct reliability assessments across applications infrastructure Kubernetes databases networks caching platforms and cloud environments.
Drive observability improvements using OpenTelemetry Grafana Cloud AppDynamics Splunk and monitoring best practices.
Perform performance and scalability reviews to support current and future demand.
Lead chaos engineering exercises using Gremlin or Harness Chaos Engineering.
Review cloud architectures against AWS Well-Architected Framework standards and drive remediation of reliability gaps.
Automate operational tasks and implement self-healing solutions.
Identify and eliminate single points of failure (SPOFs) and strengthen disaster recovery and failover capabilities.
Collaborate with Development Infrastructure Performance Engineering and Operations teams to improve system resilience.
Establish reliability governance dashboards runbooks and continuous improvement processes.

Reliability Assessment & Engineering

Conduct application reliability assessments using established reliability frameworks.
Review historical incidents Sev-1/Sev-2 RCAs and recurring failure patterns.
Identify reliability debt and drive remediation initiatives.
Evaluate application readiness for SRE engagement.
Perform end-to-end reliability reviews across application infrastructure network and platform layers.
Define reliability roadmaps and track improvement initiatives.

Incident Management & RCA

Analyze incident trends using CSI or equivalent incident management platforms.
Participate in Major Incident Management and Problem Management processes.
Drive RCA reviews and corrective actions.
Track reliability improvement initiatives resulting from postmortems.
Reduce Mean Time to Detect (MTTD) and Mean Time to Recover (MTTR).

Service Level Management

Define and implement SLIs.
Establish SLOs and Error Budgets using Nobl9.
Partner with Product and Engineering teams to define business-focused reliability targets.
Build SLO dashboards and reliability scorecards.
Monitor error budget consumption and enforce governance policies.
Conduct reliability reviews based on SLO compliance.

Cloud & Platform Reliability

Review cloud architectures against AWS Well-Architected Framework principles.
Conduct reliability performance cost optimization security and operational excellence assessments.
Identify High Risk Issues (HRIs) and drive remediation.
Validate high availability disaster recovery backup and failover capabilities.
Ensure multi-AZ and multi-region deployment strategies are implemented where required.

Kubernetes & Infrastructure Reliability

Review Kubernetes cluster health and workload configurations.
Validate resource requests limits autoscaling and resiliency patterns.
Assess readiness liveness and startup probes.
Review service mesh configurations network policies and traffic routing.
Validate database high availability caching strategies and scaling configurations.
Identify and eliminate single points of failure.

Observability & Monitoring

Design and improve enterprise observability strategies.
Implement OpenTelemetry-based telemetry collection.
Manage metrics events logs and traces (MELT).
Integrate telemetry into Grafana Cloud Splunk Observability or equivalent platforms.
Utilize AI-driven observability capabilities for anomaly detection and root cause analysis.
Improve alert quality reduce alert fatigue and increase actionable monitoring coverage.
Ensure every alert has an owner runbook and customer impact justification.

Application Performance Engineering

Conduct dependency mapping and architecture reviews.
Analyze latency throughput and scalability bottlenecks.
Review timeout retry circuit breaker and resilience patterns.
Collaborate with Performance Engineering teams on load and stress testing.
Validate system capacity against current and future traffic demands.
Review Akamai CDN configurations traffic routing caching and failover strategies.
Ensure applications can sustain significant traffic spikes and peak loads.

Chaos Engineering & Resilience Testing

Design and execute chaos engineering experiments using Gremlin or Harness Chaos Engineering.
Simulate infrastructure network application and dependency failures.
Validate system behavior during failure scenarios.
Establish reliability score baselines and improvement goals.
Measure resilience against real-world production conditions.
Document findings and implement corrective improvements.

Automation & Self-Healing

Identify repetitive operational tasks suitable for automation.
Develop self-healing workflows for common infrastructure and application failures.
Automate alert remediation scaling recovery and operational activities.
Reduce manual intervention and operational toil.
Improve platform efficiency through engineering-driven automation.

Required Qualifications

8-10 years of experience in Site Reliability Engineering.
Experience with CSI for incident and RCA tracking.
Experience with Nobl9 for SLO management.
Experience with AppDynamics for application performance monitoring.
Experience with OpenTelemetry and Grafana Cloud for telemetry and observability.
Experience with Gremlin or Harness Chaos Engineering.
Experience with Akamai CDN.
Knowledge of AWS Well-Architected Framework.
Experience with Kubernetes reliability observability incident management automation and resilience engineering.

#LI-ST1 #LI-Hybrid #Hiring