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 delivery.

• Collaborate with Development, Infrastructure, Security, Cloud Governance, and Operations teams on ongoing projects and the development of new products.

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

• Administer and manage tools such as GitLab, Azure DevOps, Nexus, Grafana, LENS, and Dynatrace.

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

• Diagnose and fix issues related to Kubernetes deployment, configuration, performance, and operations.

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

• Create, implement, and manage Infrastructure as Code solutions utilizing Terraform.

• Design and optimize Continuous Integration and Continuous Delivery frameworks.

• Partner with cloud architects and engineering teams to deliver highly available, scalable, and disaster recovery-ready solutions.

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

• Investigate new technologies, tools, and processes to boost DevOps, SecOps, and platform engineering capabilities.

• Refine CI/CD standards, templates, and onboarding processes to expedite project delivery.

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

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

• Engage with Engineering, QA, Infrastructure, Security, Product Owners, Client Service, and Operations teams to ensure efficient building, releasing, and deployment of products.

⛳️ Requirements

• Minimum of 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.

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

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

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

• A minimum of 3 years of experience implementing security controls, vulnerability remediation, and secure software delivery practices.

• At least 3 years of experience with Bash, PowerShell, Python, or similar scripting languages.

• Over 3 years of experience with SQL and relational databases, such as PostgreSQL.

• A minimum of 3 years of experience with monitoring, observability, and alerting tools like Grafana, Prometheus, Dynatrace, Azure Monitor, and Application Insights.

• At least 3 years of experience with deployment methodologies, including Blue/Green, Canary, Rolling Deployments, and Deployment Slots.

• A minimum of 3 years of experience with Atlassian Jira and Confluence.

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

• Experience in troubleshooting complex distributed applications and cloud infrastructure.

• Proven experience leading technical initiatives, promoting engineering best practices, and influencing technical decisions across teams.

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

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

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

• Preferred: 2+ years of experience with container technologies such as Docker, Kubernetes, and Helm.

• Preferred: Experience in implementing GitOps practices and workflows.

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

• Preferred: Knowledge of container security, software supply chain security, and vulnerability management.

• Preferred: Experience utilizing Generative AI and AI-assisted engineering tools like Microsoft Copilot, Cursor, or similar technologies.

• Preferred: Familiarity with AI governance, security, and responsible AI practices in enterprise settings.

• Nice to have: Working knowledge of YAML and JSON.

• Nice to have: Experience with Nexus or other artifact repository platforms.

• Nice to have: Experience with ingress controllers and Kubernetes networking concepts.

• Nice to have: Familiarity with tools like Checkmarx and JMeter.

• Nice to have: Experience supporting highly regulated environments such as healthcare, finance, or government.

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

• For remote work, an internet service must be cable broadband or fiber optic with a minimum of 10 Mbps download and 5 Mbps upload.

🏝️ Benefits

• Eligibility for an annual bonus plan.

• Medical insurance coverage.

• Vision insurance.

• Dental insurance.

• Access to well-being and behavioral health programs.

• 401(k) plan.

• Company-paid life insurance.

• Tuition reimbursement program.

• A minimum of 18 days of paid time off each year.

• Paid holidays.

• Options for leaves of absence.

• Flexible remote work arrangements (home-based either occasionally or permanently, subject to internet requirements).