<p><strong>Build cloud infrastructure that keeps global operations running.</strong></p><p>Join a team modernizing large‑scale systems and accelerating cloud‑native adoption through automation, Infrastructure as Code, and high‑impact observability practices. This role designs, automates, and operates AWS environments using Terraform, CI/CD pipelines, and modern monitoring tools. You’ll collaborate across engineering, product, QA, and security teams to deliver reliable, scalable, and secure platforms. The position plays a key role in application modernization, AWS migrations, platform optimization, and mentoring team members. </p><p><br></p><ul><li>Design, build, and maintain CI/CD pipelines (e.g., Jenkins, Bitbucket) for applications and infrastructure.</li><li>Develop and operate observability platforms (Datadog, Grafana, Dynatrace) to ensure system performance and reliability.</li><li>Support migration of legacy workloads into AWS and enable adoption of services like ECS, Lambda, Aurora, and S3.</li><li>Implement Infrastructure as Code using Terraform and build reusable automation modules.</li><li>Participate in code reviews and champion automated testing, monitoring, and release best practices.</li><li>Troubleshoot CI/CD, observability, and deployment issues for engineering teams.</li><li>Document processes, create playbooks, and share infrastructure diagrams.</li><li>Lead complex infrastructure initiatives and drive improvements across IaC, CI/CD, observability, and cloud architecture.</li><li>Mentor junior engineers and contribute to hiring, onboarding, and DevOps culture development.</li><li>Collaborate cross‑functionally and help shape long‑term cloud strategy (AWS‑first with some Azure support).</li></ul>
<p>Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders. </p>
<p>We’re looking for a Senior Cloud Engineer to design, build, and operate secure, scalable infrastructure on Google Cloud Platform (GCP). You’ll lead with GKE for container orchestration, Infrastructure as Code (Terraform or Ansible) for repeatability, and scripting (Python, Shell/Bash) to automate everything from provisioning to observability. This role bridges architecture and hands-on delivery, partnering closely with DevOps, SRE, Security, and application teams.</p><p><br></p><p>What You’ll Do</p><ul><li><strong>Architect & implement</strong> highly available, cost-efficient GCP environments (VPCs, subnets, routing, load balancers, Cloud NAT, Cloud DNS, Cloud Storage, Cloud SQL/Spanner/BigQuery as applicable).</li><li><strong>Design, deploy, and operate GKE</strong> clusters (node pools, autoscaling, upgrades, ingress, CNI/CNI‑overlays, workload identity, network policies, pod security).</li><li><strong>Automate infrastructure</strong> with Terraform or Ansible (modules/roles, workspaces/environments, pipelines, policy-as-code).</li><li><strong>Build platform tooling</strong> and automation in Python/Shell/Bash (provisioning, configuration drift remediation, release packaging, operational runbooks).</li><li><strong>Implement observability</strong> (Cloud Monitoring/Logging, Prometheus/Grafana, OpenTelemetry) and actionable alerting/SLOs.</li><li><strong>Harden security</strong> (IAM least-privilege, service accounts, secrets management, private clusters, image scanning, workload identity, org policies).</li><li><strong>Enable CI/CD</strong> for apps and infra (Cloud Build/GitHub Actions/GitLab CI, artifact registries, blue/green or canary deployment strategies).</li><li><strong>Drive reliability</strong>—capacity planning, performance tuning, backup/DR strategies, incident response, root cause analysis, and postmortems.</li><li><strong>Mentor engineers</strong>, codify best practices, and contribute to architectural standards and roadmaps.</li></ul><p><br></p>