Loginsoft Consulting LLC
Senior DevOps / Cloud Engineer
Rockville, Maryland, USA · Senior · Contract
Sponsorship not specifiedDetected 79 days ago
PythonBashGitAWSGCPCloud PlatformsDockerKubernetesTerraformAnsibleCI/CDGitHub ActionsJenkinsDevOpsPlatform EngineeringMachine LearningMLOpsSystems EngineeringCommunicationCollaborationProblem Solving
About the role
- Automate provisioning, configuration, and lifecycle management for AI-enabled infrastructure and services.
- Monitor system health, availability, and performance, and proactively resolve operational issues.
Responsibilities
- Support, maintain, and optimize existing AWS cloud workloads and infrastructure.
- Assist in building and operationalizing Google Cloud Platform 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 Google Cloud Platform environments.
- 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.
- 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.
- Create and maintain technical documentation, runbooks, architecture diagrams, and standard operating procedures.
- Independently manage assigned work items, priorities, and deliverables with minimal supervision.
Requirements
- 10+ years of overall IT experience, with significant focus on DevOps, cloud engineering, systems engineering, or platform engineering.
- Working knowledge or hands-on experience with Google Cloud Platform, 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.
Nice to have
- 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.
- Relevant AWS and/or Google Cloud certifications are preferred.
Skills
- 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.
- Posted By: Loginsoft Consulting LLC Email: jobs (at) loginsoft (dot) com Phone:
- Terraform, CloudFormation,
- CDK, Google Cloud Platform Deployment Manager or similar Containers/Orchestration:
- Cloud-native and third-party monitoring and observability tools Desired Characteristics Self-starter with a strong ownership mindset.
- Automate infrastructure provisioning, configuration management, and operational tasks using tools such as Ansible and Python.
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