Lead Software Engineer, DevOps

Remote United States
FiscalNote – 710 - Technology Engineering /
Full Time Employee /
Remote

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Lead Engineer DevOps

  • Have you led or contributed to building internal developer tools, infrastructure, or platforms?
  • Please describe a specific project where you improved developer workflows, tooling, or internal platforms. What tools did you use, and what was the impact on the team or organization?
  • Do you have 5 or more years of experience as a software engineer in a backend or infrastructure role?
  • Share an example of a complex backend system or service you've developed or maintained. What made it technically challenging, and how did you ensure its performance and reliability?
  • Have you designed and built APIs or asynchronous services?
  • Describe an instance where you designed APIs or asynchronous processes. What technologies did you use, and how did you ensure scalability or efficiency?
  • Are you proficient with AWS services like VPCs, EC2, IAM, ECS, or S3?
  • Explain a time when you used AWS to architect or maintain a scalable cloud-based system. Which services did you use, and how did they support your goals?
  • Have you worked with infrastructure-as-code tools like Terraform or Ansible?
  • Tell us about a time you used infrastructure-as-code in a production environment. What did it help automate or standardize?
  • Are you comfortable working with containerization tools such as Docker or Kubernetes?
  • Describe how you’ve used containers in past projects. How did this impact deployment workflows or scalability?
  • Have you implemented CI/CD pipelines using GitHub Actions, CircleCI, Jenkins, or similar tools?
  • Provide an example of a CI/CD pipeline you built or maintained. What improvements did it make to the engineering process?
  • Have you written scripts using Python, Bash, or JavaScript to automate engineering tasks?
  • What kinds of scripts have you created to streamline workflows or support engineering operations?
  • Have you worked with monitoring and observability tools like Prometheus, Grafana, DataDog, or New Relic?
  • Share how you monitored the health and uptime of critical systems. Which tools did you use, and how did you respond to issues?
  • Are you familiar with SQL or NoSQL databases like PostgreSQL, MongoDB, MySQL, or Redshift?
  • Tell us about a project where your choice of database influenced system performance or design. Why did you choose that technology?

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