The DevOps Engineer will drive the adoption and maturity of DevOps practices within agile teams, leveraging techniques such as Acceptance Test Driven Development (ATDD), Continuous Integration (CI), and Continuous Delivery (CD). This role ensures seamless integration across Development, QA, Infrastructure, Operations, and Release Management, delivering high-quality products efficiently.

The ideal candidate is a servant leader who fosters a learning organization through coaching, training, and mentorship. Adaptability is key, as the team is in the early stages of DevOps adoption, requiring both manual maintenance and automation initiatives.

• Implement and mature DevOps practices across agile teams.
• Drive automation for build, deployment, and infrastructure provisioning.
• Collaborate with cross-functional teams to ensure seamless integration and delivery.
• Support and coach teams on ATDD, CI/CD, and DevOps principles.
• Maintain documentation and contribute to internal DevOps community support.
• Perform manual maintenance tasks while identifying automation opportunities.
• Monitor and optimize system performance using observability tools.
• Ensure security and compliance in cloud deployments.

• Language Skills: English and Spanish proficiency.
• Strong understanding of DevOps principles and agile methodologies.
• Hands-on experience with CI/CD pipelines and automation tools.

• Experience:
  • 5+ years in IT with web-based products.
  • 3+ years on large-scale, multi-team projects.
  • 3+ years with Agile and Test-Driven Development.
  • 3+ years in CI/CD (e.g., Jenkins, Azure DevOps, Docker).
  • 2+ years in a high-level programming language (C, C#, C++, Java).
• Technical Skills:
  • Cloud Platforms: Azure (mandatory), AWS (preferred), GCP (optional).
  • Azure Services: App Services, AKS, App Gateway, APIM, Front Door, Virtual Networks, VMs, Active Directory, AppInsights.
  • Automation & IaC: Terraform, Helm, Shell scripting (bash).
  • DevOps Tools: Git/GitHub, Git Actions, Jenkins, Azure DevOps.
  • Containerization: Docker, Kubernetes (AKS).
  • Monitoring & Observability: Dynatrace, Grafana, New Relic, Splunk, AppInsights.
  • Testing & Quality: SonarQube, AccelQ, JUnit.
  • Other Tools: Apache Maven, IBM CDC, Attunity.
  • Programming & Data: Python, Databricks, Synapse (AI/ML focus).
• Optional:
  • Multi-cloud experience.
  • Contributions to GitHub repositories.
  • SOA and database change automation experience.

• Strong problem-solving and analytical skills.
• Ability to work in a fast-paced, evolving environment.
• Excellent communication and collaboration skills.
• Commitment to continuous learning and improvement.