[Remote] Senior DevOps Engineer
Note: The job is a remote job and is open to candidates in USA. Snowrelic Inc is seeking a Senior DevOps / Cloud Engineer to support existing AWS workloads and establish and expand its GCP environment. The role focuses on cloud infrastructure, CI/CD, automation, application deployment, security and compliance, and the operational deployment and configuration management of AI and ML platforms across cloud environments.
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
Skills
- 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
- 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
Benefits
- Remote - DMV
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