DevOps / DevSecOps Engineer - Azure | GCP | IaC | Security | Automation | AI-Ops

About Avaya

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 https://www.avaya.com

Description

Role Overview

We are seeking a results-driven DevOps / DevSecOps Engineer to design, automate, and secure multi-cloud infrastructure across Azure and Google Cloud Platform (GCP) environments.

The ideal candidate will combine deep technical expertise in Infrastructure as Code (IaC), CI/CD pipelines, and security automation with an excited initiative to explore AI and AI-Ops innovations that improve performance, reliability, and efficiency. You’ll work cross-functionally with engineering, security, and operations teams to drive scalability, compliance, and intelligent automation across hybrid platforms.

Key Responsibilities

Infrastructure as Code (IaC)

• Design, develop, and maintain reusable Terraform and Ansible modules for Azure and GCP infrastructure.
• Enforce configuration standards, compliance checks, and policy-as-code practices.

Cloud Engineering (Azure & GCP)

• Architect and manage scalable, secure environments (AKS, GKE, App Gateway, VNets, VPCs, NSGs, Key Vault, Cloud KMS, Managed Identities).
• Implement governance, cost optimization, and compliance controls across subscriptions and projects.

CI/CD & Automation

• Build and optimize Jenkins, GitHub Actions, and ArgoCD pipelines for automated build, test, and deployment across multi-cloud environments.
• Implement blue/green, canary, and rollback deployment strategies with integrated observability and alerting.
• Experiment with AI-driven automation to optimize pipelines, detect anomalies, and enhance release reliability.

DevSecOps & Security

• Integrate vulnerability scanning, static/dynamic code analysis, and compliance checks into CI/CD workflows.
• Manage secrets, certificates, and keys using secure vault solutions (Azure Key Vault, GCP Secret Manager).
• Collaborate with security teams to align infrastructure with FedRAMP, FIPS, ISO, and PCI standards.

Monitoring, AI-Ops & Reliability

• Implement proactive monitoring using Azure Monitor, GCP Operations Suite (Stackdriver), Prometheus, Grafana, and Log Analytics.
• Define and track SLOs, SLIs, and error budgets to ensure reliability and performance.
• Contribute to AI-Ops initiatives—including anomaly detection, predictive alerting, and automated incident correlation—to reduce manual effort and prevent outages.

Collaboration & Agile Practices

• Partner with product, security, and engineering teams in agile ceremonies to plan, deliver, and continuously improve.
• Participate in release management, sprint planning, retrospectives, and post-incident reviews.
• Promote a culture of automation, intelligence, and proactive reliability across the engineering organization.

Requirements

Required Skills & Experience

• 5+ years of experience in DevOps, Site Reliability, or Platform Engineering roles.
• Proven expertise in Azure and GCP cloud architecture and automation.
• Hands-on experience with Terraform, Ansible, Helm, and Kubernetes (AKS/GKE).
• Strong understanding of CI/CD tools (Jenkins, GitHub Actions, ArgoCD).
• Familiarity with AI-Ops concepts, monitoring, and event-correlation systems.
• Experience implementing security frameworks (FedRAMP, FIPS, CIS Benchmarks).