Production Engineer, Cloud

About The Role

We’re looking for a Cloud Engineer who will work with the broader engineering team at Aptos to develop, implement, test, optimize, and maintain cloud-based infrastructure, technologies, and services
You will collaborate closely with cross-functional teams to ensure efficient and reliable cloud operations
You will be expected to have a strong background in cloud cost optimization, infrastructure automation, and a deep understanding of cloud architecture principles
You will be responsible for designing, deploying and debugging cloud stacks, driving the effort to optimize the cloud cost at Aptos Labs, educating teams on new cloud initiatives, and ensuring the security of the cloud infrastructure

This is an opportunity for someone who is passionate about cloud architecture, cost optimization and efficiency, service reliability, enjoys automating human out of manual operation processes, excited by continuously iterating on the tech stack,making things better and better over time
You will be working on fast-paced, rapidly growing, high-profile projects with a significant opportunity for industry-level impact on emerging blockchain and cryptocurrency technologies

What you’ll be doing:

  • Design and implement cloud infrastructure solutions based on business and technical requirements
  • Build observability and automation tools to help engineering team understand the cloud cost and server utilization efficiency
  • Drive the effort of cloud cost optimization across all services at Aptos Labs
  • Implement security controls and best practices to protect cloud environments from potential threats and vulnerabilities
  • Together with our engineering team, you will share an on-call rotation and be an escalation contact for service incidents

What we’re looking for:

  • 5+ years proficiency coding in higher-level languages (, Rust, Python, C++, or Java)
  • Extensiveknowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP
  • Strong understanding of cloud architecture principles, including infrastructure-as-code, microservices, and serverless computing
  • Strong understanding of hardware architectures and performance characteristics
  • Proficiency in infrastructure automation tools such as Terraform, Ansible, or Pulumi 
  • Experiencewith containerization technologies like Docker and orchestration tools such as Kubernetes
  • Solid understanding of networking concepts and experience with cloud networking services
  • Familiarity with security best practices and compliance frameworks in a cloud environment
  • Understanding of software development methodologies, Agile practices, and SRE/DevOps principles
  • Able to communicate skills and ability to explain technical concepts clearly and simply

The base salary range for this full-time position is $160k – $260k
The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level
We do hire exceptionally talented professionals with decades of experience in their field
As such, our range may be higher than what is displayed
Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles
Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training
Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits

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