Job Description
Job description Company Description Nibyor Technologies INC is committed to delivering world-class technical expertise and innovative solutions to meet the diverse needs of its clients. With a focus on fostering growth and collaboration, Nibyor Technologies drives success by leveraging cutting-edge technologies and creating custom strategies. The company prides itself on maintaining a culture of excellence, continuous learning, and delivering impactful results to help businesses thrive. Join a team of experts dedicated to excellence and innovation in the tech industry. Location Washington D.C (Hybrid) 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 the 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 troubleshoot 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. · 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. · 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. · Experienc