DevOps Engineer

Description

Wiliot was founded by the team that invented one of the technologies at the heart of 5G. Their next vision was to develop an IoT sticker, a self-powered computing element that harvests radio frequency energy, bringing connectivity and intelligence to everyday products and packaging. This revolutionary combination of cloud and semiconductor technology is already being used by some of the world’s largest consumer, retail, food, and pharmaceutical companies to transform how products are made, distributed, sold, used, and recycled.

Our investors include SoftBank, Amazon, Alibaba, Verizon, NTT DoCoMo, Qualcomm, and PepsiCo.

Responsibilities:

• Own operational responsibility for the application and platform layers
• Oversee and drive production operations end-to-end: deployments, maintenance, scaling, high availability and enhancements across AWS and GCP.
• Operate Kubernetes in productions at scale across AWS EKS and GCP GKE 
• Manage all infrastructure as code
• Participate in on-call, lead and participate in incident management: triage, mitigation, and clear stakeholder communication during live incidents.
• Own deployment tooling, troubleshooting, and performance tuning across compute, networking, and data layers.
• Contribute to cost visibility and FinOps practices across cloud providers.

Requirements

• 5+ years running production systems, hands-on.
• Strong AWS experience (GCP a plus).
• Production Kubernetes — networking, autoscaling, resource management, etc 
• Terraform (Terragrunt/Pulumi) as a daily tool, including modules and state.
• Helm , GitOps with ArgoCD 
• GitHub and GitHub Actions; pipeline-as-code.
• Solid Linux and networking: DNS, TLS, load balancing, VPC/routing.
• Prometheus/Cortex, Grafana, Loki, or equivalents
• Scripting in Python, Go, or Bash; comfortable reading application code.
• Clear written English;
• Experience in a distributed, global team.

Advantage

• Development background.
• Kafka, MQTT, or similar messaging at scale.
• Data platform experience (Databricks, Spark,).
• FinOps: cost allocation and unit economics.
• Cloud security and compliance (SOC 2, CIS, CSPM).
• Effective use of AI-assisted engineering tooling.

#LI-Hybrid