1 day ago
Ho Chi Minh City, VietnamSenior
Responsibilities
- Deploy, manage, upgrade, scale, and support containerized applications across multiple Kubernetes environments.
- Own release planning, execution, validation, rollback, and production-readiness activities across customer, staging, and production environments.
- Administer and troubleshoot Kubernetes clusters, including networking, ingress, storage, compute, service communication, scaling, upgrades, and lifecycle management.
- Respond to high-priority production incidents and resolve complex distributed-systems and application-performance issues.
- Improve deployment processes, operational procedures, automation, platform stability, and deployment efficiency.
- Collaborate with Robotics, Controls, Infrastructure, QA, and Software Engineering teams to diagnose and resolve deployment and production issues.
- Participate in release-readiness reviews and support software releases across multiple environments.
Requirements
- 7+ years of experience in software engineering, release engineering, site reliability engineering, platform engineering, or deployment engineering.
- Deep hands-on Kubernetes experience covering cluster administration, application deployment, scaling, performance tuning, networking, ingress, storage, upgrades, lifecycle management, and production incident response.
- Strong troubleshooting and debugging skills in complex distributed systems.
- Strong Linux administration experience and working knowledge of Windows environments.
- Experience with Docker and Kubernetes container technologies.
- Experience with CI/CD platforms such as Jenkins, GitHub Actions, or Azure DevOps.
- Strong knowledge of Git workflows, release management, and deployment practices.
- Working proficiency in Python and Shell scripting, focused on operational automation.
- Understanding of microservices architectures and distributed application deployments.
- Ability to independently manage high-priority production issues through resolution and collaborate effectively across globally distributed teams.
- Preferred: experience supporting robotics, warehouse automation, industrial automation, autonomous systems, or customer-facing operational environments.
- Preferred: experience with Prometheus, Grafana, ELK, OpenTelemetry, ArgoCD, Flux, Rancher, OpenShift, Tanzu, AWS, Azure, or GCP.
- Preferred: strong judgment and communication during critical production incidents and the ability to automate repetitive operational tasks.
Benefits
- Up to 10% travel may be required, including travel to client and customer locations.
- Employees must have a valid driver’s license and be able to drive and/or fly to client and customer locations.
- Business travel expenses are reimbursed under program guidelines; a personal credit card may be required during onboarding until a corporate card is issued.
- Eligible employees may receive a corporate credit card based on role and travel requirements.
Tech Stack
AWSAzureDockerGitGitHub ActionsGoogle Cloud PlatformGrafanaJenkinsKubernetesLinuxOpenShiftPrometheusPythonRancherWindows
Categories
About Symbotic
Symbotic builds AI-enabled warehouse automation systems that combine high-density storage, autonomous robots, and warehouse execution software for large retailers, wholesalers, and consumer-goods distributors. The company sells and operates end-to-end material-handling platforms, including automated case picking and AS/RS, delivered through system deployments and long-term service agreements. Founded in 2007 and headquartered in Wilmington, Massachusetts, Symbotic is a public company on Nasdaq (SYM) and counts Walmart among its customers.