Infrastructure & Platforms Engineer

Role Description

The Infrastructure & Platforms Engineer is a hands-on builder responsible for cloud infrastructure, CI/CD pipelines, observability instrumentation, and platform hardening across all three enterprise technology lanes: Core Infrastructure, Insights Modernization, and AI & Innovation Enablement. This role operates within the EA Cross-Pod Execution Team on two-week sprint cadences, executing infrastructure work that directly enables the EA strategic plan.

Responsibilities:

• Provision and maintain Azure resources (Static Web Apps, Blob Storage, Entra ID, Azure AD) with IaC;
• Manage shared Static Web App reports hub: App Registration, routing, multi-tenant deployment;
• Support M+ Studio pilot: Managed Agents environment, MCP connector networking, credential vault;
• Build CI/CD pipelines with GitHub Actions: quality gates, security scanning, automated deployments;
• Instrument observability dashboards: pipeline health, delivery velocity, DORA metrics;
• Execute Book of Work infrastructure: Jira API integration, cycle time tracking;
• Collaborate with InfoSec on data residency, security reviews, and compliance gates;
• Support vendor/license rationalization: FreshService catalog mapping, capability audit.

Qualifications

• 5+ years in cloud infrastructure engineering, with strong Azure proficiency across App Services, Static Web Apps, Entra ID/Azure AD, Key Vault, and Blob Storage;
• Proficiency with Infrastructure-as-Code: Terraform preferred, with Bicep or ARM templates also relevant;
• Expert-level CI/CD pipeline design and management, with GitHub Actions required and Azure DevOps experience a plus;
• Strong understanding of enterprise networking, DNS, SSL/TLS certificate management, and API gateway configuration;
• Experience with observability tooling such as Datadog, Grafana, or equivalent platforms, including DORA metrics implementation;
• Knowledge of container orchestration and serverless architectures, including Docker, Kubernetes, AWS Lambda, or Azure Functions;
• Familiarity with security controls in cloud environments.

Requirements

• Familiarity with the Atlassian ecosystem, including Jira, Confluence, and programmatic API integration;
• Exposure to AI/ML infrastructure patterns, including model hosting, feature stores, and agent sandboxing;
• Experience with MCP server infrastructure or similar agentic AI platform patterns;
• Understanding of enterprise governance frameworks such as ITIL, TOGAF, or similar.

Benefits

• Remote work;
• Full-time (8 hours/day);
• Flexible schedule with core overlap during US working hours (PST);
• Attractive USD compensation;
• Paid vacation, holidays.