Lead Engineer, Cloud Platform, Azure (Hybrid)

About the role

Our Team: We have an exciting Lead Platform Engineer role on our Cloud Engineer team. The Lead Platform Engineer, Cloud is responsible for designing, implementing, and managing secure, scalable cloud solutions with robust governance, networking, and automation frameworks. This role drives infrastructure provisioning, monitoring, and cost optimization using tools like Terraform, Ansible, and Harness, while ensuring compliance, performance, and operational excellence across Eversource cloud environments. The Lead Platform Engineer, Cloud will also build automated Continuous Integration, Continuous Deployment (CI/CD) pipelines and Infrastructure as Code (IaC) using Harness and Terraform, applying Development, Security and Operations (DevSecOps) principles to ensure efficient, secure, and reliable deployments.

Responsibilities

• Azure Landing Zone & Governance: Design and implement Azure Landing Zone hub-and-spoke topology, management groups, subscription design, tagging strategy, and cost management including budgets and landing zone accelerators. Apply governance controls using Azure Policy, RBAC, and identity governance with Azure AD and conditional access.
• Networking & Security: Architect secure and scalable networks leveraging Azure Virtual WAN (VWAN), Virtual Network Manager, IP address management, and Network Virtual Appliances (NVAs) with firewall integration. Manage ER/VPN connectivity, DNS, and firewall configurations.
• Automation, Provisioning & Monitoring: Implement Infrastructure as Code using Terraform, Ansible, and Harness for automated provisioning and configuration. Build and maintain CI/CD pipelines for cloud deployments. Configure centralized logging and monitoring with Azure Monitor and Log Analytics; troubleshoot and optimize performance.
• Collaboration, Scalability & Scripting: Utilize GitHub and JFrog Artifactory for source control and artifact management. Develop automation scripts using Bash, PowerShell, and Python.
• Must be available to work emergency restoration assignment as required; must be able to travel between MA/CT/NH as necessary.

Qualifications

• Education: Bachelor’s degree in computer science, related technical discipline or related experience. Advanced degree desirable.
• Experience: Minimum of eight (8) to ten (10) years in a technical engineering role or related experience working with technology or application solutions, including experience in architecture, design, implementation, support, and management of the technologies appropriate for the specific positions. Knowledge and experience with Artificial Intelligence (AI), Machine Learning (ML), and Agentic AI technologies