Who We Are:
At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise.
The Platform Engineer III is responsible for building, maintaining, and improving the infrastructure, automation, and platform services that support reliable SaaS delivery. This role focuses on infrastructure as code, Kubernetes and EKS operations, CI/CD, GitOps, observability, incident response, production reliability, and self-service platform capabilities.
What you will do :
Responsibilities
Develop and maintain infrastructure as code using Terraform, OpenTofu, Ansible, and related automation tooling.
Administer Kubernetes and EKS environments, including installation, networking, security, troubleshooting, monitoring, autoscaling, upgrades, and cluster management.
Build, manage, and support containerized workloads using Kubernetes, EKS, and related cloud-native technologies.
Support GitOps-based deployment workflows using ArgoCD, Kustomize, GitHub Actions, Jenkins, and Kubernetes manifests.
Build and improve self-service platform capabilities that help engineering teams provision infrastructure, onboard services, and deploy applications efficiently.
Monitor site availability, investigate production issues, and provide remediation for incidents.
Create and maintain monitoring, logging, alerting, dashboards, APM configuration, and incident reporting.
Support secure-by-default platform practices, including least-privilege Kubernetes configurations, container vulnerability scanning, static analysis, and infrastructure-as-code security checks.
Troubleshoot infrastructure, application platform, Linux, networking, IAM, and cloud-related issues.
Write SQL, ELK, and other operational queries to diagnose issues and support production investigations.
Create, review, merge, and apply infrastructure pull requests using tools such as Ansible, Terraform, and OpenTofu.
Create and maintain AMIs, support rightsizing, autoscaling, and infrastructure optimization.
Serve as a technical lead on complex platform projects, driving work to successful completion on time and on budget
Leverage AI-assisted engineering tools, such as Cursor, GitHub Copilot, Claude Code, or similar technologies, to improve development speed, code quality, automation, documentation, and troubleshooting workflows.
What we are looking for :
Required skills and experience:
Experience with infrastructure as code and the full lifecycle of SaaS implementations.
Strong Kubernetes administration experience, including networking, security, troubleshooting, monitoring, and day-2 operations.
Experience with containers, EKS, Kubernetes, GitHub Actions, Jenkins, ArgoCD, Kustomize, and cloud-native deployment practices.
AWS proficiency, including basic IAM management, autoscaling, AMIs, and cloud infrastructure operations.
Intermediate to advanced Linux and Unix skills.
Understanding of TCP/IP, OSI model, stateless architecture, infrastructure, and system architecture.
Ability to write SQL and ELK queries.
Experience with monitoring applications, APM tools, logs, alerts, and incident diagnostics.
Experience with secure delivery practices, including vulnerability scanning, static analysis, and least-privilege infrastructure patterns.
Ability to effectively use AI-assisted engineering tools, such as Cursor, GitHub Copilot, Claude Code, or similar technologies, while applying sound engineering judgment, code review practices, and security awareness.
Ability to merge and apply pull requests for Ansible, Terraform, OpenTofu, or similar infrastructure tooling.
Deep understanding of release cycles, SDLC, infrastructure, and architecture.
Strong analytical, reasoning, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills in English.
Strong listening, teamwork, time management, and attention to detail.
Education and experience:
Minimum of 3 years of direct experience in a similar role with a Bachelor’s degree in Computer Science or related STEM field.
Minimum of 7 years of direct experience in a similar role without a Bachelor’s degree.