DevOps Cloud Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Oversee daily DevOps operations, including intake management, prioritization, planning, and execution.

• Collaborate with Development, Infrastructure, Security, Cloud Governance, and Operations teams on ongoing projects and new product initiatives.

• Assess and improve security protocols for source control, access management, CI/CD processes, and deployments.

• Manage and administer tools such as GitLab, Azure DevOps, Nexus, Grafana, LENS, and Dynatrace.

• Develop, oversee, and sustain automated build and deployment pipelines.

• Diagnose and address Kubernetes deployment, configuration, performance, and operational challenges.

• Monitor and ensure the health, performance, availability, and security of Azure cloud resources.

• Design, implement, and maintain Infrastructure as Code solutions using Terraform.

• Create and enhance Continuous Integration and Continuous Delivery frameworks.

• Work alongside cloud architects and engineering teams to create highly available, scalable, and disaster-recovery-ready solutions.

• Enhance observability through effective monitoring, alerting, logging, and performance optimization.

• Investigate technologies, tools, and methodologies for adopting DevOps, SecOps, and platform engineering.

• Advance CI/CD standards, templates, and onboarding processes.

• Assess and implement AI-assisted engineering solutions to boost developer productivity, automation, operational efficiency, and incident response.

• Ensure solutions are in line with enterprise security, governance, compliance, and operational standards.

• Engage with Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations to guarantee efficient product building, releasing, and deployment.

• Identify areas for process improvement, increased automation, enhanced security, improved reliability, and expedited delivery.

⛳️ Requirements

• Over 5 years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), Infrastructure Engineering, or DevSecOps roles.

• At least 3 years of experience with Microsoft Azure cloud services.

• Minimum 3 years of experience with Infrastructure as Code (preferably Terraform).

• 3+ years of experience with Kubernetes in production settings.

• 3+ years of experience in designing, implementing, and maintaining CI/CD pipelines and automation.

• 3+ years of experience in implementing security measures, vulnerability remediation, and secure software delivery practices.

• 3+ years of experience with scripting languages such as Bash, PowerShell, Python, or similar.

• 3+ years of experience with SQL and relational databases like PostgreSQL.

• 3+ years of experience with monitoring, observability, and alerting tools such as Grafana, Prometheus, Dynatrace, Azure Monitor, and Application Insights.

• 3+ years of experience with Blue/Green, Canary, Rolling Deployments, and Deployment Slots.

• 3+ years of experience with Atlassian Jira and Confluence.

• Strong understanding of cloud networking, security, identity management, and access control mechanisms.

• Proven experience troubleshooting complex distributed applications and cloud infrastructure.

• Demonstrated capability in leading technical initiatives, promoting engineering best practices, and influencing technical decisions across teams.

• Excellent communication, collaboration, and problem-solving abilities.

• Preferred: 3+ years of experience with GitLab and Microsoft Azure DevOps.

• Preferred: 3+ years of Linux system administration and networking experience.

• Preferred: 2+ years of experience with Docker, Kubernetes, and Helm.

• Experience in implementing GitOps practices and workflows.

• Experience supporting platform engineering and developer self-service initiatives.

• Familiarity with container security, software supply chain security, and vulnerability management.

• Experience with Generative AI and AI-assisted engineering tools such as Microsoft Copilot, Cursor, or similar technologies.

• Knowledge of AI governance, security, and responsible AI practices.

• Proficient in YAML and JSON.

• Experience with Nexus or other artifact repository platforms.

• Familiarity with ingress controllers and Kubernetes networking concepts.

• Knowledge of Checkmarx and Jmeter.

• Experience in environments with stringent regulations such as healthcare, finance, or government.

• Exposure to Azure AI, Azure Machine Learning, MLOps, or AI-enabled platform operations.

• Reliable home internet through cable broadband or fiber optic service with a minimum of 10Mbps download/5Mbps upload.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Comprehensive medical benefits.

• Vision insurance offerings.

• Dental coverage available.

• Well-being and behavioral health programs provided.

• 401(k) retirement plan.

• Company-funded life insurance.

• Tuition reimbursement available.

• Minimum of 18 days of paid time off annually.

• Paid holidays included.

• Leaves of absence policy.

• Requirement for home internet through cable broadband or fiber optic service with a minimum of 10Mbps download/5Mbps upload for remote work.