| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Douro Labs | North America | $112k - $156k | |||
Polygon Labs | LATAM | $84k - $100k | |||
Zetachain | Remote | $157k - $171k | |||
Parity | Remote | $80k - $120k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
D3 | Remote | $112k - $156k | |||
Binance | Dublin, Ireland |
| |||
Autumn Compass | Sydney, Australia | $120k - $150k | |||
Chainlink Labs | United States | $98k - $112k | |||
Wormholefoundation | Remote | $112k - $156k | |||
Kiln | Paris, France | $112k - $156k | |||
Kiln | Paris, France | $84k - $112k | |||
Zscaler | Remote | $140k - $200k | |||
Zscaler | Remote | $130k - $131k | |||
Zenith | Remote |
| |||
Kraken | United States | $127k - $203k |
Own the reliability and performance of Douro Labs’ real-time market data and price feed infrastructure powering CeFi and DeFi users. Monitor production systems, automate operations, and lead incident response with deep data forensics to keep services accurate and always on. Ideal for engineers who thrive in distributed systems, market data, and high-ownership, mission-critical environments.
About Our Team and Your Role:
We're a balanced team; half of us are tech-talented people, while the other half excel in forging partnerships with data providers, developers, and the DeFi community - Communication is key in our network-driven approach.
Work remotely: Our team spans the globe from the US and South America to Europe and Asia, with an optional office in Porto, Portugal. Remote work is our norm.
English proficiency is essential, as it's our primary language for team and external developer communication.
Thrive in a startup environment within the dynamic DeFi space. We value adaptable problem-solvers who are eager to address evolving market needs.
Write open-source software: Check out our open-source projects on GitHub for a sneak peek into our work.
User-centric development: Our success hinges on external developers engaging with our solutions—crafting user-friendly APIs and crystal-clear documentation that aligns with developers' needs.
Your Responsibilities
Develop deep ownership of the end-to-end flow of a novel distributed system that generates and delivers real-time price feeds to hundreds of CeFi and DeFi users
Automate repetitive workflows, eliminate systematic issues, and proactively monitor live market data systems to prevent problems before they surface
Lead incident response and data forensics end to end, analyze impact, identify root causes, and ship tactical and long-term fixes that measurably improve reliability and resilience
Desired Skills and Experience:
Strong ownership mindset with a passion for solving hard problems and operating mission-critical, always-on systems
Solid foundations in computer science, including data structures, algorithms, distributed systems, and time-series analysis
Proficient in at least one modern programming language (Python preferred) and comfortable working with SQL and production data
Able to reason about complex, adversarial markets and systems, identifying where risk and failure modes originate in real-time environments
Deep understanding of market data infrastructure, including ticker plants and reference data, with experience in asset pricing and liquidity analysis as a plus
Clear communicator who thrives in fast-paced, high-ownership environments and takes initiative to drive outcomes end-to-end
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Think you have what it takes? We’re looking forward to meeting you! 👋
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:
- 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.
- 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).
- 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.
- 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.
- Provide technical support: Reliability Engineers provide technical support to other teams and stakeholders, answering questions and providing guidance on reliability-related issues.
- 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.