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

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Location:

Virtual, 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 results-driven Dev Ops / Dev Sec Ops  Engineer to design, automate, and secure cloud infrastructure across Azure environments. The ideal candidate will combine deep technical expertise in Infrastructure as Code (IaC),
CI/CD pipelines
, and security automation with strong collaboration and agile delivery skills. You’ll work cross-functionally with engineering, security, and operations teams to drive reliability, scalability, and compliance across our multi-cloud and hybrid platforms.

Key Responsibilities

• Infrastructure as Code (IaC):
  • Design, develop, and maintain reusable Terraform and Ansible modules for Azure infrastructure.
  • Enforce configuration standards and policy-as-code practices.
• Architect and manage scalable, secure Azure environments (AKS, App Gateway, VNets, NSGs, Key Vault, Managed Identities).
• Implement governance, cost optimization, and compliance controls across subscriptions.
• CI/CD & Automation:
  • Build and optimize Jenkins and Git Hub Actions pipelines for automated build, test, and deployment across environments.
  • Implement blue/green, canary, and rollback deployment strategies with observability and alerting.
• Dev Sec Ops  & Security:
  • Integrate vulnerability scanning, code analysis, and compliance checks into CI/CD workflows.
  • Manage secrets, certificates, and key management using secure vault solutions.
  • Collaborate with security teams to align infrastructure with FedRAMP/FIPS/ISO/PCI standards.
• Monitoring & Reliability:
  • Implement proactive monitoring using Azure Monitor, Prometheus, Grafana, and Log Analytics.
  • Define SLOs, SLIs, and error budgets aligned with business objectives.
• Partner with product and engineering teams in agile ceremonies to plan, deliver, and continuously improve.
• Participate in release management, sprint planning, retrospectives, and post-incident reviews.

Required Skills & Experience

• 5+ years of experience in Dev Ops, Site Reliability, or Platform Engineering
  .
• Proven expertise in Azure cloud architecture and automation
  .
• Hands‑on experience with Terraform
  , Ansible
  , Helm
  , and Kubernetes
  .
• Strong understanding of CI/CD tools (Jenkins, Git Hub Actions, ArgoCD).
• Familiarity with security frameworks (FedRAMP, FIPS, CIS Benchmarks).
• Experience with container security
  , image scanning
  , and supply chain security
  .
• Proficiency in scripting (Bash, Python, or Power Shell).
• 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.
• Collaboration: Builds trust across teams; communicates transparently.
• Adaptability: Adjusts quickly to new priorities and technologies.
• Continuous Learning: Proactively explores automation, AI, and new Dev Ops practices.
• Security Mindset: Integrates security at every stage of development and deployment.
• Outcome Focus: Measures success through reliability, speed, and cost efficiency.

The pay range for this opportunity is from $122,200 to $160,00 + 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 candidate’s qualifications, skills, competencies, and location.

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