This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a highly experienced Senior Cloud and DevOps Engineer to lead our infrastructure automation, software configuration, and cloud deployments. In this role, you will be the primary expert driving our IBM Cloud architecture and integrating IBM watsonx solutions into our development lifecycle. - Lead the end-to-end configuration, installation, and management of DevOps software and toolchains. - Architect, provision, and optimize secure cloud configurations specifically within IBM Cloud environments. - Deploy, integrate, and maintain IBM watsonx platforms (such as watsonx.ai or watsonx.data) to support advanced data and AI initiatives. - Design and maintain robust CI/CD pipelines to automate software delivery and infrastructure updates. - Implement Infrastructure as Code (IaC) using tools like Terraform or Ansible to ensure scalable and repeatable cloud environments. - Manage containerized applications and orchestration using Kubernetes or Red Hat OpenShift. - Monitor system health, troubleshoot complex deployment issues, and ensure adherence to security and compliance standards. Qualifications - 6+ years of demonstrated experience in Cloud Computing and DevOps engineering. - 3+ years of recent, hands-on experience specifically with IBM Cloud architecture and IBM watsonx deployments. - Strong expertise in configuring and installing modern DevOps tools (e.g., Jenkins, GitLab CI, ArgoCD). - Deep knowledge of containerization technologies (Docker, Kubernetes, OpenShift). - Proficiency in scripting languages for automation (Python, Bash, or similar). - Strong problem-solving skills with a proactive approach to system reliability and performance optimization. Requirements - This help with the cloud infrastructure and deployment and watsonx configuration. Company Description Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients’ AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government. Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.

• Support and develop hybrid AWS-based infrastructure • Automate infrastructure using Terraform (AWS) and Ansible • Build, improve, and maintain CI/CD pipelines in GitHub Actions (for both application delivery and infrastructure workflows) • Develop and maintain monitoring (Prometheus + Thanos), logging (Loki), and visualization (Grafana) systems • Analyze production incidents, perform root cause analysis, and implement long-term fixes • Collaborate closely with development teams to support infrastructure and pipeline needs • Administer and configure core services such as nginx, Redis, RabbitMQ, RDS (MSSQL), ECR, Route53, and CloudFront • Implement FinOps practices and optimize infrastructure costs

• Learn and build expertise across several software engineering disciplines, including Airflow and data engineering, Kubernetes, Cloud Engineering. • Gain exposure to the big picture; learn about product, engineering, customer relationship management, and more. • Solve challenging Airflow problems for our customers. • Spend up to 25% of your time on side projects that contribute to Astronomer’s overall success. • Work directly with our customers’ data engineers, system admins, DevOps teams, and management. • Own the customer experience, working directly with customers to prioritize and solve issues, meet SLAs, and provide 'white glove' guidance on the path to production.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description DecisionPoint is seeking a DevOps Platform Engineer to join the Cloud Operations team. The team maintains AWS cloud environments, supports a DevSecOps platform, and deploys applications for the Small Application Support team. In this role, you will be responsible for designing, implementing, and maintaining our continuous integration and continuous delivery (CI/CD) pipelines using GitLab and ArgoCD. - Design, build, and maintain scalable and secure CI/CD pipelines in GitLab CI from code commit to production deployment. - Implement and manage GitOps workflows for continuous delivery to RKE2 clusters using ArgoCD, ensuring the cluster state always reflects the Git repository. - Develop and maintain automation scripts and tools to streamline the software development lifecycle, reduce manual intervention, and improve developer productivity. - Integrate security best practices and automated testing (SAST, DAST, dependency scanning) into the CI/CD pipelines to ensure code quality and security compliance. - Collaborate with the infrastructure team to manage and provision environments using IaC principles and tools like Terraform. - Act as a subject matter expert on CI/CD, providing guidance and support to development teams on best practices for building, testing, and deploying their applications. - Monitor the health and performance of the CI/CD infrastructure, troubleshoot issues, and continuously optimize pipeline efficiency and reliability. - Update and maintain the organizations DevSecOps (DSO) software, including GitLab, Grafana, RKE2, Prisma, and AWS. - Perform updates to an AWS development environment that includes GitLab and various AWS services. - Maintain SSL certificates for DevSecOps software. - Perform root cause analysis, diagnostics, and monitoring on various production and non-production cloud systems. - Provide incident response and service outage resolution for cloud systems. - Develop GitLab projects that enable software delivery, security scanning, secrets management, policy-as-code, and compliance automation. - Deploy .Net/Java applications using DevSecOps platform to all Cloud Environments. - Remediate applications scan results using DevSecOps scanning tools. - Maintain and update application secrets. - Deploy updated baseline container images within 7 days of a released update. - Monitor overall site availability, latency, and system health for applications within AWS. Qualifications - Active Secret Clearance required. - Bachelor’s degree and 3 years of experience or 8 years’ experience in a DevOps, SRE, or a similar role with a focus on CI/CD. - Expert-level knowledge of Git, including branching strategies and workflows. - Proven experience implementing and managing GitOps with ArgoCD. - Deep understanding of containerization (Docker) and Kubernetes orchestration. - Proficiency in scripting languages such as Bash, Python, or Go. - Experience with Infrastructure as Code (IaC), particularly Terraform. - DOD 8140 certification: IAT Level II or better (e.g., Security+ CE). Company Description