Job Description

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

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).
• Proficiency in scripting ( Bash, Python, or PowerShell).
• Excellent troubleshooting skills across infrastructure, network, and application layers.
• Strong communication and collaboration skills with a focus on accountability and delivery.

Desired Behaviours

• Ownership: Takes responsibility for end-to-end delivery and operational excellence.
• Innovation: Excited to explore and apply AI and AI-Ops to optimize DevOps workflows.
• Collaboration: Builds trust across teams; communicates transparently.
• Adaptability: Adjusts quickly to new priorities, tools, and emerging technologies.
• Continuous Learning: Proactively explores automation, intelligence, and new DevSecOps practices.
• Security Mindset: Integrates security controls into every phase of the development lifecycle.
• Outcome Focus: Measures success through reliability, speed, cost efficiency, and innovation.

The pay range for this opportunity is from $122,200 to $165,000 + performance-related bonus + benefits.

This range represents the anticipated low and high ends of the salary for this position. This role is also eligible to receive an annual bonus that aligns with individual and company performance. Actual salaries will vary and are based on factors such as a candidate’s qualifications, skills, competencies, and location.

Experience

3 years experience at the Engineer Two level or 5 – 8 years total experience

Education

Bachelor degree or equivalent experienceMaster degree or equivalent experience

Preferred Certifications

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Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.

Avaya is an Equal Opportunity employer and a U.S. Federal Contractor. Our commitment to equality is a core value of Avaya. All qualified applicants and employees receive equal treatment without consideration for race, religion, sex, age, sexual orientation, gender identity, national origin, disability, status as a protected veteran or any other protected characteristic. In general, positions at Avaya require the ability to communicate and use office technology effectively. Physical requirements may vary by assigned work location. This job brief/description is subject to change. Nothing in this job description restricts Avaya right to alter the duties and responsibilities of this position at any time for any reason.