About The Role

Standardize and containerize existing applications and services using Docker and define repeatable deployment patterns for cloud-hosted workloads.
Design, build, and maintain infrastructure as code using Terraform or similar tooling for consistent environment provisioning.
Provision, configure, and support infrastructure across AWS and Azure, including Kubernetes environments such as EKS.
Build and enhance CI/CD pipelines to automate application deployment, infrastructure delivery, and environment promotion.
Establish and enforce enterprise standards for cloud architecture, security controls, tagging, monitoring, documentation, and operational readiness.
Partner with application and engineering teams to migrate existing workloads into containerized and cloud-ready architectures.
Participate in client-facing discussions, workshops, and status reviews to provide technical guidance and implementation updates.
Implement observability, logging, alerting, and reliability practices across platform environments.
Collaborate with security and compliance stakeholders to align infrastructure and deployment practices with internal policies and best practices.
Create and maintain technical documentation, architecture patterns, reusable templates, and operational runbooks.
Troubleshoot infrastructure, deployment, and runtime issues while driving continuous improvement in stability, scalability, and supportability.

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field; equivalent practical experience may also be considered.
4–7 years of hands-on experience in Platform Engineering, DevOps, Cloud Engineering, or Infrastructure Engineering.
Experience operating production workloads in AWS and/or Azure environments.
Strong experience with Docker and Kubernetes; EKS experience is especially relevant for this role.
Strong experience with Infrastructure as Code using Terraform or similar frameworks.
Experience with CI/CD tools such as GitHub Actions, Azure DevOps, or Jenkins.
Proficiency in scripting and automation using Python, Bash, PowerShell, or similar languages.
AI driven approach to every phase of software development – Design, planning and coding including efficient and responsible use of Agentic coding tools like Claude Code and Copilot
Solid understanding of cloud networking, IAM, storage, monitoring, and environment configuration.
Experience documenting technical designs, deployment patterns, support procedures, and engineering standards.
Strong collaboration and communication skills, with the ability to work across engineering, infrastructure, and security teams.
Demonstrated professionalism, ownership, and consultative problem-solving in stakeholder-facing environments.

Experience modernizing or migrating legacy applications into containers or Kubernetes-based platforms.
Experience with Helm, Kubernetes manifests, Kustomize, or reusable deployment templates.
Familiarity with security scanning and remediation tools such as Snyk, Rapid7, or SonarQube.
Experience creating platform standards, reusable modules, or golden-path engineering practices for development teams.
Exposure to regulated or compliance-oriented environments where governance, documentation, and traceability are important.