Senior DevOps Engineer

Role: Senior DevOps / Cloud Engineer ( AWS, GCP, AI Platform Operations) Location: Remote - DMV Position Summary We are seeking a highly skilled Senior DevOps / Cloud Engineer to support and enhance our existing AWS-based workloads while helping establish and expand our upcoming Google Cloud Platform (GCP) environment. This role requires deep hands-on expertise in cloud infrastructure, CI/CD, automation, application deployment, security, compliance-driven engineering, and AI platform deployment and configuration management. The ideal candidate will have strong experience in designing, building, automating, and supporting cloud-native and hybrid environments across AWS and GCP. This individual must be capable of working independently, owning technical deliverables end-to-end, and driving implementation of reliable, secure, scalable, and compliant DevOps practices. Key Responsibilities • Support, maintain, and optimize existing AWS cloud workloads and infrastructure. • Assist in building and operationalizing GCP support capabilities for new and future workloads. • Design, implement, and manage CI/CD pipelines for application and infrastructure delivery. • Deploy, manage, and troubleshooting applications across AWS and GCP environments. • Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python. • Implement and support Infrastructure as Code and environment standardization practices. • Support deployment, configuration, and operational management of AI and ML platforms and supporting infrastructure in cloud environments. • Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services. • Collaborate with engineering and platform teams to enable secure, scalable, and compliant environments for AI workloads, without requiring hands-on AI application or model development. • Ensure cloud environments and deployment processes align with security and compliance requirements, including regulated frameworks such as FedRAMP or similar. • Monitor system health, availability, and performance, and proactively resolve operational issues. • Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures. Independently manage assigned work items, priorities, and deliverables with minimal supervision. • Contribute to platform engineering best practices, cloud governance, and automation strategy. Required Qualifications • 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering. • Strong hands-on experience supporting and deploying workloads in AWS. • Working knowledge or hands-on experience with GCP, including deployment and support of applications and cloud services. • Proven experience designing and implementing CI/CD processes and tools in enterprise environments. • Strong hands-on experience with automation and scripting using Ansible and Python. • Experience deploying, configuring, and supporting applications in cloud environments. • Experience supporting AI and ML platform deployments and configuration management, focused on infrastructure, automation, and operations rather than application or model development. • Strong understanding of infrastructure automation, configuration management, release engineering, and platform operations. • Experience working in compliance-driven environments, such as FedRAMP, NIST-based environments, or similar regulated frameworks. • Experience with source control and DevOps toolchains such as Git, Jenkins, GitLab CI, GitHub Actions, or similar platforms. • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. • Strong troubleshooting, problem-solving, and root cause analysis skills. • Excellent verbal and written communication skills. • Ability to work independently and deliver technical work items with minimal oversight. Preferred Qualifications • Experience with Terraform, CloudFormation, or other Infrastructure as Code tools. • Experience supporting AI/ML infrastructure and operational environments in cloud platforms. • Experience supporting multi-cloud environments. • Familiarity with cloud networking, IAM, secrets management, logging, and observability tools. • Experience with security scanning, policy enforcement, and DevSecOps practices. Experience supporting cloud-native AI services, MLOps-enabling infrastructure, GPU-based workloads, or model hosting environments. • Familiarity with services such as Amazon SageMaker, Vertex AI, container-based AI platforms, or similar technologies. • Experience in government, healthcare, or other highly regulated environments. • Relevant AWS and/or Google Cloud certifications are preferred. Technical Skills • Cloud Platforms: AWS, GCP • Automation/Scripting: Ansible, Python, Bash • CI/CD Tools: Jenkins, GitLab CI, GitHub Actions, or similar • Source Control: Git • Infrastructure as Code: Terraform, CloudFormation, CDK, GCP Deployment Manager or similar • Containers/Orchestration: Docker, Kubernetes • Compliance/Security: FedRAMP, NIST, security hardening, audit support • Monitoring/Logging: Cloud-native and third-party monitoring and observability tools Desired Characteristics • Self-starter with a strong ownership mindset. • Able to independently plan and execute technical tasks. • Detail-oriented with strong documentation discipline. • Comfortable working in fast-paced, evolving cloud environments. • Strong collaboration skills across engineering, security, and operations teams.