DevOps Engineer

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 computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the IoT. This revolutionary mixture of cloud and semiconductor technology is being used by some of the world’s largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.

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

We are seeking a skilled DevOps Engineer to design, implement, and manage robust infrastructure solutions. The ideal candidate will have expertise in cloud platforms, container orchestration, infrastructure as code, and data processing technologies.

Responsibilities:

• Data Pipeline Support: Collaborate with data engineering teams to support and optimize data processing workflows utilizing Spark, Flink, and Databricks.
• Infrastructure Management: Design and maintain scalable, secure, and high-performance infrastructure on AWS and GCP.
• Automation: Develop and manage infrastructure as code using Terraform to automate deployments and configurations.
• Container Orchestration: Deploy and manage containerized applications using Kubernetes, ensuring efficient scaling and resource utilization.
• Database Management: Administer and optimize both SQL and NoSQL databases to handle high-load production environments effectively.
• Monitoring and Optimization: Implement monitoring solutions to ensure system reliability and performance, proactively addressing potential issues.
  
  

• Cloud Platforms: Proficiency in AWS and GCP services and best practices.
• Infrastructure as Code: at least 6 years of experience with Terraform for automating infrastructure deployments.
• Containerization: Strong knowledge of Docker and Kubernetes for container orchestration.
• Data Processing: Familiarity with data processing frameworks such as Apache Spark, Apache Flink, and platforms like Databricks.
• Database Management: Experience with both SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., Cassandra) databases.
• High-Load Systems: Proven experience managing and optimizing high-load production environments.
• Scripting and Automation: Proficiency in scripting languages such as Python or Bash for automation tasks.
• Version Control: Experience with GitHub for version control and CI/CD pipelines.
• Monitoring Tools: Experience with monitoring and logging tools like Prometheus, Grafana stack.
• Security Best Practices: Knowledge of implementing security measures and compliance standards.