| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Chainlink Labs | Argentina | $112k - $156k | |||
Kraken | Remote | $88k - $101k | |||
Layerzerolabs | Remote | $86k - $110k | |||
Zinnia | Remote | $126k - $127k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Gsrmarkets | Remote | $80k - $100k | |||
Douro Labs | North America | $112k - $156k | |||
Polygon Labs | LATAM | $84k - $100k | |||
Zetachain | Remote | $157k - $171k | |||
Parity | Remote | $80k - $120k | |||
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 |
About Chainlink
Chainlink is the industry-standard oracle platform bringing the capital markets onchain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi.
Many of the worldâs largest financial services institutions have also adopted Chainlinkâs standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where offchain and onchain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link.
The Infrastructure Platform team builds the scalable, reliable internal platform that powers all production services. Our mission is to enable product teams to move fast without compromising reliability, security, or cost efficiency.
As a mid-level SRE, youâll work on Kubernetes-based production infrastructure and help build the automation, tooling, and guardrails that allow engineering teams to scale sustainably. This is a hands-on platform engineering role focused on reliability, automation, and developer enablement - not just operations.
If you enjoy building systems that other engineers depend on, improving golden paths, and eliminating toil through automation, this role is for you.
We are fully remote and distributed across time zones, with a healthy and well-supported on-call rotation.
Your Impact
Operate and improve large-scale Kubernetes infrastructure in production
Build and maintain GitOps-driven infrastructure workflows (ArgoCD/Flux)
Develop automation and tooling that enable self-service infrastructure
Improve system reliability, scalability, and observability
Reduce operational toil through thoughtful engineering solutions
Partner with product engineers to support safe, reliable deployments
Contribute to infrastructure cost visibility and efficiency initiatives
Requirements
3â6+ years of experience on an SRE, Infrastructure, or Platform Engineering team
Strong production experience with Kubernetes
Hands-on experience with Terraform and AWS
Experience implementing GitOps workflows (ArgoCD or Flux)
Experience with distributed systems, container orchestration, and observability
Strong Linux fundamentals
Proficiency in shell scripting and at least one higher-level language (Go, Python, etc.)
Ability to scale systems through automation and reliability improvements
Comfortable working in a fully remote, globally distributed team
Desired Qualifications
Experience designing and supporting real-time, high-availability systems
Experience with monitoring, logging, alerting, and distributed tracing
CI/CD pipeline experience (GitHub Actions)
Experience in blockchain or Web3 environments
Passion for security and secure system design
Experience with Crossplane or more broadly developing custom operators in Kubernetes to meet business needs
Experience building internal developer platforms or self-service tooling
Why Join Us?
Work on high-scale, production Kubernetes systems
Build platform capabilities that accelerate the entire engineering organization
Strong engineering culture focused on automation and reducing toil
Remote-first team with meaningful ownership and impact
Opportunity to deepen expertise in distributed systems and platform engineering
All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).
We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date.
Commitment to Equal Opportunity
Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.
Global Data Privacy Notice for Job Candidates and Applicants
Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.
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.