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 SLOs, 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