Site Reliability Engineer; SRE - Azure | DevSecOps | IaC | Governance | Observability

Date:
Mar 17, 2026

Location:

Remote, US

Requisition

Avaya is an enterprise software leader that helps the world’s largest organizations and government agencies forge unbreakable connections.

The Avaya Infinity™ platform unifies fragmented customer experiences, connecting the channels, insights, technologies, and workflows that together create enduring customer and employee relationships.

We believe success is built through strong connections – with each other, with our work, and with our mission. At Avaya, you'll find a community that values your contributions and supports your growth every step of the way.

Learn more at

We are seeking a
Site Reliability Engineer (SRE) who will drive stability, reliability, and performance across our
Azure and GCP-based platforms
.
This role blends operational excellence, proactive incident management, and strong collaboration with Dev Ops, Cloud, and Security teams.

The ideal candidate will have hands‑on experience with
multi‑cloud environments (Azure and GCP),
IaC (Terraform/Ansible),
CI/CD (Jenkins/Git Hub Actions), and modern
observability and AI‑Ops systems
. The engineer will also contribute to
governance, cost optimization, and automation strategies that reduce toil and prevent issues before they occur. A key aspect of this role is the ability to perform deep‑Dive troubleshooting of application performance and errors by analyzing logs and traces in platforms like Grafana and Datadog.

This position includes
24×7 support coverage (rotational) and requires strong ownership in managing major incidents, RCA processes, and continuous service improvements.

Key Responsibilities

Reliability & Incident Management

• Serve as a key member of the 24×7 on‑call rotation, responding to and managing incidents across production and pre‑production environments.
• Lead incident bridges, coordinate root cause analysis (RCA), and ensure post‑incident reviews drive systemic improvements.
• Maintain clear communication with cross‑functional teams and leadership during major incidents.

Monitoring, AI‑Ops, Alerts & Prevention

• Build, tune, and maintain observability dashboards (
  Azure Monitor
  ,
  GCP Operations Suite
  ,
  Prometheus
  ,
  Grafana
  ,
  Datadog
  ,
  Log Analytics
  ).
• Perform deep‑Dive troubleshooting of application and service‑level issues using distributed tracing and log analysis (Grafana, Datadog) to pinpoint root causes beyond infrastructure.
• Define
  SLOs, SLIs, and error budgets to proactively identify and mitigate reliability risks before customer impact.
• Integrate
  AI‑Ops tools for anomaly detection, predictive alerting, and automated incident correlation.
• Continuously enhance alert quality, reduce false positives, and automate runbooks for faster recovery.
• Analyze trends to prevent recurring issues and support teams in resilience engineering.

Required Skills & Experience

• 5+ years in
  Site Reliability, Dev Ops, Cloud Operations
  ,
  or Customer support roles.
• Demonstrated experience in application‑level troubleshooting by analyzing logs and traces to identify bugs, performance bottlenecks, and error conditions.
• Expertise in
  Azure and GCP cloud operations and distributed system reliability.
• Understanding of
  Terraform
  ,
  Ansible
  , and
  CI/CD pipelines
  (Jenkins, Git Hub Actions).
• Experience with
  observability and AI‑Ops tools
  (Azure Monitor, GCP Operations Suite, Grafana, Prometheus, Datadog, etc.).
• Solid grasp of
  incident management frameworks
  (P1–P3 handling, RCA, PIRs, on‑call rotations).
• Excellent analytical, troubleshooting, and communication skills.

Desired Behaviours

• Proactive Prevention: Identifies and resolves risks before they escalate into incidents.
• AI‑Driven Mindset: Applies AI and automation to improve reliability and reduce human intervention.
• Accountability: Owns service reliability and communicates with clarity.
• Collaboration: Works seamlessly with platform, Dev Ops, and product teams.
• Efficiency: Focuses on automation to reduce manual effort and improve MTTR.
• Continuous Improvement: Learns from failures, iterates processes, and enhances documentation.

The pay range for this opportunity is from $129,00 to $143,000 + performance‑related bonus + benefits. This range represents the anticipated low and high end…