Devops Automation Engineer

Role: DevOps Automation Engineer

Location: Rockville, MD (Onsite)

In-Person Interview

Responsibilities

• Good understanding of AWS/Azure Cloud Services IAAS/PAAS/SAAS
• Designing, deploying, and managing secure, scalable, and resilient cloud architectures on AWS/Azure platforms.
• Add-on Automating cloud infrastructure deployments using tools like Terraform, CloudFormation, or ARM templates. Ensuring robust cloud network configurations, including VPCs, subnets, firewalls, and hybrid connectivity solutions (e.g., ExpressRoute, Direct Connect).
• Monitoring and optimizing cloud performance, costs, and security compliance using industry-leading tools.
• Collaborating with cross-functional teams to ensure seamless integration and operational efficiency across cloud environments.
• Troubleshooting and resolving technical issues to maintain high availability and service continuity.
• Actively participates on small to medium sized project teams in support of client deliverables.
• Establishes working relationships with others outside area of expertise.
• Composes, coordinates, and consolidates reports and work products, and ensures quality assurance reviews on all products.

Job Requirements

• 6-8 year s DevOps experience
• Knowledge of DevSecOps best practices
• Experience with migration of on-prem to cloud platforms.
• Experience with enterprise level monitoring technologies
• Working knowledge of data programming languages (Python, HTMLS, SQL, Azure Cognitive Services)

Skills

• Hands-on experience in AWS/Azure Cloud Security Services with a strong understanding of cloud services, architecture, and best practices on the respective platforms.
• Proficiency in scripting and automation using tools like Python, PowerShell, or Bash is add on advantage
• Solid knowledge of cloud networking, security, and identity management (e.g., IAM, RBAC, VPNs) is add on advantage
• Familiarity with DevOps practices and tools like Jenkins, Ansible, or Git for CI/CD pipelines
• Knowledge of Git security features (i.e., GHAS),
• Strong analytical and problem-solving skills, with the ability to communicate complex technical concepts efficiently, builds models and designs algorithms to gain insights for making data-driven decisions.