Computer Programmer

Responsibilities

• Design and operate scalable, resilient, and secure infrastructure platforms across cloud and hybrid environments
• Champion DevOps and SRE practices including Infrastructure as Code, CI/CD, observability, and reliability engineering
• Build developer-friendly platforms (“golden paths”) that simplify deployments, reduce friction, and improve velocity
• Enable and optimize infrastructure for AI/ML workloads, including:
• Data pipelines and storage systems
• Model training and inference environments
• GPU-enabled and high-performance compute workloads
• Develop and maintain automated CI/CD pipelines for applications, data, and ML workflows
• Implement observability frameworks (metrics, logs, traces) to ensure system health and performance
• Define and manage Service Level Objectives (SLOs), Service Level Indicators (SLIs), and error budgets to drive reliability improvements
• Lead incident response, root cause analysis, and postmortems with a focus on continuous improvement
• Automate provisioning, configuration, patching, and environment lifecycle management
• Build and manage containerized and orchestrated platforms (Docker, Kubernetes)
• Support cloud migration, modernization, and platform standardization initiatives
• Ensure systems meet security, compliance, backup, and disaster recovery requirements
• Evangelize DevOps practices to development community on the AI driven tool integrations for code standards, qualitative tools, security tools in the shift-left automation
• Mentor engineers and promote best practices in DevOps, SRE, and platform engineering
• Stay abreast of new technologies in your areas but not limited to AIOps, MLOps, cloud computing & deployment, site reliability engineering, infrastructure automation, security best practices, data engineering etc.

Requirements

• Must have 6+ years of hands-on Linux experience that includes specific technical experience with Ubuntu/CentOS/Red Hat operating systems, containers, dependency management and administration support
• Must have 4+ years of experience automating Infrastructure-as-Code (IaC) deployments to one of the following cloud platforms Amazon AWS, Google GCP and Microsoft Azure
• Must have 4+ years in DevOps / SRE roles supporting production systems
• Must have 4+ years with CI/CD and automation tools such as Terraform, Ansible, Chef, Puppet, Jenkins, GitHub Actions
• Strong scripting skills (Python, Bash, PowerShell or similar)
• Experience with monitoring and observability tools (Prometheus, Grafana, ELK, or cloud-native equivalents)
• Must be proficient using vibe coding and coding assistants to develop scripts, tools and applications for the DevOps and SRE use cases
• Must have proficiency to debug or troubleshoot and/or deploying SQL and/or NoSQL databases, object storage, web servers, open-source programming stack for Node.JS, R, Python, .NET Core, Java is desired but not mandatory
• Must be willing to learn new technologies, adopt and adapt to emerging technologies or needs from a project to a project
• Cloud certifications is preferred
• Certifications in Docker, Kubernetes, Linux or Networking (CCNA or CCNP or similar) is preferred but optional