DevOps Engineer

Accountabilities: As a DevOps Engineer, you will be responsible for designing and operating cloud environments, strengthening infrastructure automation, ensuring regulatory compliance, and providing technical guidance across engineering and IT teams. Cloud Infrastructure Management Design, deploy, operate, and continuously improve cloud environments across Microsoft Azure and Google Cloud Platform, with additional AWS support as needed. Manage cloud subscription and project structures, landing zones, resource organization, tagging standards, and development, testing, and production environments. Implement and maintain identity and access management using least-privilege principles, including Entra ID, Azure RBAC, GCP IAM, managed identities, workload identities, and identity federation. Design and manage cloud networking components, including VNets, VPCs, subnets, routing, hub-and-spoke architectures, private endpoints, DNS, load balancing, and hybrid connectivity. Oversee capacity planning, infrastructure lifecycle management, patching, and upgrade planning for cloud-hosted services. Cloud Architecture and Governance Apply Azure, Google Cloud, and AWS Well-Architected Framework principles to improve reliability, security, cost efficiency, operational excellence, and performance. Lead cloud architecture and well-architected reviews, document findings, prioritize remediation activities, and monitor improvements through completion. Establish and enforce cloud governance standards and policy-as-code controls using Azure Policy, GCP Organization Policy, and related technologies. Drive FinOps initiatives, including cost visibility, resource allocation, infrastructure right-sizing, reserved capacity planning, committed-use optimization, and anomaly detection. Maintain architecture diagrams, technical design documents, infrastructure standards, and operational runbooks. Automation, Infrastructure as Code, and DevOps Provision and manage cloud infrastructure through Infrastructure as Code (IaC), primarily using Terraform, with Bicep, ARM, and native GCP tooling where appropriate. Develop reusable and version-controlled infrastructure modules, remote state management, and drift detection capabilities. Design, implement, and maintain CI/CD pipelines using Azure DevOps, GitLab, GitHub Actions, or comparable platforms. Integrate automated validation, security scanning, approval workflows, and environment promotion into deployment processes. Develop automation scripts using PowerShell, Python, and Bash to eliminate repetitive manual tasks and improve operational efficiency. Select, implement, and support development, testing, automation, and IT infrastructure tools while advising teams on DevOps practices and release management. Support containerized platforms and services, including Azure Kubernetes Service (AKS) and Google Kubernetes Engine (GKE), along with their underlying cloud infrastructure. Security, Compliance, and Reliability Implement and maintain cloud security controls aligned with HIPAA, HITRUST, and internal security requirements, including encryption, key and secret management, network segmentation, centralized logging, and vulnerability remediation. Collaborate with Security and Compliance teams on assessments, audits, evidence collection, and remediation activities. Establish observability solutions using tools such as Azure Monitor, Google Cloud Observability, and Datadog. Maintain monitoring metrics, logs, alerts, and dashboards while participating in incident response and root cause analysis. Design, implement, and test backup, disaster recovery, and high-availability strategies with clearly defined recovery time and recovery point objectives (RTO/RPO). Technical Advisory and Collaboration Advise engineering, product, and IT leadership on cloud architecture, platform selection, infrastructure migrations, and modernization strategies. Translate stakeholder requirements into practical cloud and automation solutions while clearly communicating technical trade-offs. Evaluate emerging cloud services, infrastructure technologies, and AI-assisted engineering tools, recommending adoption when they provide measurable value. Mentor infrastructure and development team members while contributing to technical documentation, standards, and best practices. Requirements The ideal candidate combines extensive cloud engineering experience with strong automation capabilities, infrastructure architecture knowledge, and the ability to independently manage complex technical initiatives in a regulated environment. Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience. At least 7 years of experience in cloud infrastructure, DevOps, platform engineering, site reliability engineering, or systems engineering. Minimum 4 years of hands-on experience designing, deploying, and operating production workloads in Microsoft Azure, including landing zones, networking, Entra ID, and governance through Azure Policy and RBAC. At least 2 years of practical experience with Google Cloud Platform, including organization and project structures, IAM, VPC networking, Compute Engine or GKE, and Cloud Observability. Working knowledge of Azure, Google Cloud, and AWS Well-Architected Frameworks, with demonstrated experience applying their principles to assess and improve production workloads. Minimum 3 years of experience with Infrastructure as Code, preferably Terraform, with Bicep and ARM considered acceptable alternatives. Strong experience with Git-based workflows and version control. At least 3 years of experience building and maintaining CI/CD pipelines and automated build, delivery, and release tools such as Azure DevOps, GitLab CI, and GitHub Actions. Minimum 3 years of automation scripting experience using PowerShell, Python, and/or Bash. Experience managing Microsoft-based infrastructure, including Windows Server, Active Directory, Entra ID, and Microsoft 365 integrations. Knowledge of hybrid connectivity between cloud environments and on-premises infrastructure. Experience securing infrastructure and handling protected information, including Protected Health Information (PHI) and Personally Identifiable Information (PII), in HIPAA, HITRUST, or similarly regulated environments. At least 3 years of experience working in Agile delivery environments. Strong troubleshooting, analytical, and documentation skills, combined with excellent written and verbal communication abilities. Demonstrated ability to work autonomously, take ownership of technical initiatives, and deliver projects from planning through implementation. Additional qualifications considered an advantage: Hands-on experience with AWS accounts and Organizations, IAM, VPC networking, and core compute and storage services. Relevant professional certifications, such as Microsoft Certified: Azure Solutions Architect Expert, Azure Administrator Associate, Google Cloud Professional Cloud Architect, AWS Certified Solutions Architect, HashiCorp Terraform Associate, or FinOps Certified Practitioner. Experience with Kubernetes, containerized workloads, policy-as-code, and cloud observability platforms. Previous involvement in cloud migrations, platform consolidation, or mergers and acquisitions (M&A) involving cloud and identity environments. Linux administration experience. Familiarity with Jira and Confluence. Benefits Competitive annual base salary ranging from $115,000 to $155,000. Eligibility for an annual cash bonus, depending on applicable compensation arrangements. Comprehensive medical, dental, and vision insurance. Life insurance coverage. 401(k) retirement plan. Remote work opportunity. Opportunities to work with modern cloud technologies across Azure, Google Cloud, and AWS. Significant technical ownership and opportunities to influence cloud architecture, automation, and infrastructure strategy. Professional development opportunities through exposure to cloud security, DevOps, infrastructure modernization, and regulated healthcare technology. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. 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