Reliability Engineer

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Asymmetric Research
$105k - $180k estimated
Remote

Asymmetric Research:

Asymmetric Research ("AR") is a boutique venture focused on deep partnerships with L1/L2 blockchains and DeFi protocols to keep them safe. We specialize in four core domains; security, research, engineering, incident response, and infrastructure services.

Culture:

AR is a globally distributed, fully remote organization. Our team members, with collective experience from organizations like Google, Netflix, Mozilla, Stripe, Solana, and Jump Crypto, are deeply committed to open-source values. We take pride in our high levels of confidentiality, trust, and professionalism.

Responsibilities:

  • Manage a globally distributed fleet of blockchain infrastructure services

  • Deploy infrastructure as code deployments to both dev, staging, and production environments

  • Work in a globally distributed high performing team to deliver mission-critical services to the financial sector.

  • Design, Architect, Deploy, and Manage blockchain infrastructure services.

  • Adhere to the highest standards of integrity, trust, and professionalism.

Requirements:

  • 5+ years of experience

  • Excellent experience managing Linux and network infrastructure.

  • Experience with load balancers and other high-availability technologies (e.g., HAproxy, ALB/ELB, etc.)

  • Prior experience with configuration management tooling (eg. Ansible, Chef, Puppet, Saltstack, etc.)

  • Excellent troubleshooting fundamentals on both hardware and software.

  • Development experience in Golang, Python, or Rust.

  • Experience with continuous integration pipelines and automated deployments

  • Experience OSS monitoring tools (eg. Grafana, Loki, Prometheus, Alertmanager)

Nice to have:

  • Distributed systems experience in tools such as nomad or kubernetes

  • Prior experience with Bitcoin, Ethereum, Solana, Cosmos, or Move blockchain technologies

Benefits:

  • 25-days paid vacation

  • Office and equipment stipend

  • Pension / 401K programs

  • Life Insurance

  • Premium Healthcare

  • Competitive Base Salary

  • Lucrative Bonus Programs

What does Reliability Engineer do?

A Reliability Engineer is a professional who is responsible for ensuring the reliability and availability of systems and equipment in an organization

They use their knowledge of engineering principles, statistical analysis, and data science to identify and mitigate risks, prevent failures, and optimize system performance

Here are some of the typical tasks and responsibilities of a Reliability Engineer:

  1. Analyze data and perform statistical modeling: Reliability Engineers analyze data related to equipment performance, failure rates, and maintenance history to identify trends and patterns. They use statistical modeling to predict future failures and plan maintenance activities accordingly.
  2. Develop and implement reliability strategies: Reliability Engineers develop and implement strategies to improve the reliability and availability of equipment and systems. This may include performing root cause analysis, implementing preventive maintenance programs, and conducting failure mode and effects analysis (FMEA).
  3. Collaborate with other teams: Reliability Engineers collaborate with other teams such as operations, maintenance, and engineering to identify and address reliability issues. They may also work with suppliers to ensure the reliability of equipment and materials.
  4. Monitor and evaluate performance: Reliability Engineers monitor the performance of systems and equipment to identify areas for improvement. They use data to evaluate the effectiveness of reliability strategies and make adjustments as necessary.
  5. Provide technical support: Reliability Engineers provide technical support to other teams and stakeholders, answering questions and providing guidance on reliability-related issues.
  6. Continuously improve processes: Reliability Engineers are responsible for continuously improving reliability processes and methodologies. They stay up-to-date with the latest technologies and best practices in the field and identify opportunities for improvement.