Lead I - Cloud Infrastructure Services

Job Description Senior Cloud Platform Engineer / Technical Lead Role Overview We are seeking an experienced Senior Cloud Platform Engineer / Technical Lead to join the Solution Engineering team supporting BAIN’s enterprise cloud platform environment. The role will provide hands-on technical leadership across Microsoft Azure, AWS, and GCP, with Azure as the primary cloud platform. The engineer will be responsible for multi-cloud infrastructure operations, Infrastructure as Code, incident and service-request management, cloud security and IAM, networking, environment provisioning, infrastructure scaling, troubleshooting, and operational governance. A key expectation is strong hands-on expertise with Terraform, including development and maintenance of reusable modules as well as technical review and approval of Terraform pull requests. The role also requires the ability to guide engineers, resolve technical blockers, handle complex escalations, and maintain SLA/SLO adherence. Primary Technology Stack • Microsoft Azure – Primary • AWS • Terraform / Infrastructure as Code • Linux Administration o RHEL o SUSE o CentOS Secondary Technology Stack • Google Cloud Platform (GCP) • env0 • PowerShell • Git / GitHub • GitHub Actions • ServiceNow Roles & Responsibilities 1. Multi-Cloud Platform Engineering • Provide senior-level engineering and technical leadership across Azure, AWS, and GCP, with primary focus on Microsoft Azure. • Support cloud environment provisioning, access management, infrastructure configuration, resource scaling, and ongoing cloud operations. • Manage and troubleshoot Linux-based infrastructure, particularly RHEL, SUSE, and CentOS. • Support cloud account/subscription and infrastructure lifecycle activities. • Ensure cloud platforms meet required security, governance, and operational standards. 2. Terraform & Infrastructure as Code • Design, develop, enhance, and maintain infrastructure using Terraform. • Develop and maintain reusable Terraform modules to promote standardized infrastructure deployment. • Perform technical reviews of Terraform code and review/approve pull requests submitted by engineering teams. • Ensure Terraform implementations follow established engineering, security, governance, and code-quality standards. • Troubleshoot Terraform workspace, deployment, state, configuration, and infrastructure-related issues. • Support infrastructure deployment and orchestration using env0. • Identify automation opportunities and continuously improve infrastructure provisioning processes. Terraform module development/refactoring, Terraform PR reviews, Terraform workspace/deployment support, and env0 are explicitly represented in the BAIN material. 3. CI/CD & Automation • Develop and support automated infrastructure deployment pipelines using GitHub Actions and Git. • Integrate Terraform-based infrastructure provisioning into CI/CD workflows. • Use PowerShell and other scripting capabilities where appropriate to automate operational activities. • Troubleshoot pipeline and deployment failures and identify sustainable fixes. • Improve deployment repeatability, reliability, and standardization across cloud environments. 4. Incident, Service Request & Problem Management • Manage and oversee cloud-related incidents and service requests through ServiceNow. • Ensure tickets are acknowledged, updated, and resolved in accordance with defined SLAs. • Lead troubleshooting of complex cloud infrastructure and application/platform issues. • Perform Root Cause Analysis (RCA) for major or recurring incidents and drive corrective/preventive actions. • Own or coordinate technical escalations requiring senior engineering intervention. • Review team tickets and assist engineers in resolving complex technical issues. • Maintain clear and timely stakeholder communication throughout incident resolution. 5. Cloud Security, IAM & Networking • Manage and troubleshoot IAM, RBAC, access controls, cloud security policies, networking, and resource configurations. • Ensure secure provisioning and least-privilege access across supported cloud platforms. • Troubleshoot cloud networking, connectivity, access, and infrastructure configuration issues. • Ensure infrastructure automation complies with established cloud security and governance requirements. 6. Technical Leadership & Governance • Function as a technical escalation point for cloud platform engineers. • Provide technical guidance and mentorship to engineers across Azure, AWS, Terraform, Linux, CI/CD, and operational troubleshooting. • Review technical solutions and Terraform changes before implementation. • Remove technical blockers impacting delivery or service restoration. • Promote standardization, engineering best practices, automation, and knowledge sharing across the team. • Collaborate with cloud, security, application, and other relevant engineering teams to resolve cross-functional infrastructure issues. Profile describes the Tech Lead accountability around technical governance, escalations, Terraform PRs, SLA/SLO oversight, security, troubleshooting and removal of technical blockers. 7. SLA/SLO & Operational Excellence • Monitor incidents and service requests against agreed SLA/SLO targets. • Identify recurring infrastructure and operational issues and drive permanent remediation. • Maintain operational documentation, troubleshooting guides, runbooks, and knowledge-base articles. • Drive continuous improvement initiatives across cloud operations and infrastructure automation. • Improve operational efficiency through automation and standardization. • SLA/SLO monitoring, documentation and continuous improvement are explicitly included in the supplied customer’s role responsibilities. AI-Assisted Engineering The candidate should have practical exposure to the use of Generative AI within engineering and support workflows, particularly: • Hands-on experience with Claude and/or Cursor for AI-assisted coding. • Using AI for understanding and reviewing existing code. • Supporting Terraform/IaC development and troubleshooting through AI-assisted workflows. • Using AI to improve engineering productivity and accelerate problem resolution. • Exposure to Claude connectors, particularly Atlassian and ServiceNow, for information retrieval and consolidation. • Exposure to supporting AI-related operational activities such as Claude access, connectivity, or troubleshooting. This AI component is particularly relevant to the BAIN environment. The internal material explicitly describes Claude used for AI-assisted coding/code review and Claude connectors including Atlassian and ServiceNow, together with Claude access and troubleshooting activities. Mandatory Skills • Strong hands-on expertise in Microsoft Azure • Strong hands-on experience with Terraform • Experience supporting AWS cloud environments • Strong Linux administration experience, preferably RHEL/SUSE/CentOS • Experience developing and maintaining reusable Terraform modules • Experience reviewing Terraform code and pull requests • Experience with Git and GitHub-based workflows • Experience with CI/CD and GitHub Actions • Experience managing cloud IAM, security and networking • Experience handling incidents and service requests through ServiceNow • Strong troubleshooting and Root Cause Analysis capabilities • Experience working within SLA/SLO-driven cloud operations • Ability to provide technical leadership and resolve complex technical blockers Good-to-Have Skills • Google Cloud Platform (GCP) • env0 • PowerShell • Multi-cloud architecture and operations experience • Cloud governance and security experience • Knowledge-base/runbook development • AI-assisted engineering experience using Claude or Cursor • Exposure to Claude connectors, particularly Atlassian/ServiceNow • Experience supporting AI-enabled engineering platforms Preferred Certifications Primary Preferred • Microsoft Certified: Azure Administrator Associate • HashiCorp Certified: Terraform Associate