Kubernetes Jobs in Web3

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Job Position Company Posted Location Salary Tags

Nexus

San Francisco, CA, United States

$126k - $127k

Nexus

San Francisco, CA, United States

$126k - $127k

DoubleZero

Remote

$90k - $150k

Consensys

Remote

$155k - $186k

1inch

Dubai, United Arab Emirates

$98k - $108k

Wallex

Tehran, Iran

$82k - $118k

Launchpadtechnologiesinc

Remote

$99k - $106k

Sentient

India

$90k - $150k

Figment

Canada

$140k - $175k

Figment

Canada

$120k - $140k

Bitpanda

Remote

$73k - $110k

Logos

Lisbon, Portugal

$77k - $120k

Shakepay

Remote

$133k - $156k

Vac

New York, NY, United States

$77k - $120k

Mythicalgames

Remote

$146k - $201k

Nexus
$126k - $127k estimated
California San Francisco United States
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About Nexus

Nexus is building a world supercomputer by leveraging the latest advancements in AI, cryptography, engineering, and science. Our team of world-leading experts is developing and deploying the Nexus Layer 1 blockchain and Nexus zkVM (zero-knowledge virtual machine) in support of our mission to enable the Verifiable Internet.
Nexus raised $25M in Series A funding from Lightspeed, Pantera, Dragonfly, SV Angel, and more.

We are headquartered in San Francisco, and this role will be in-person with the rest of the Nexus team.

AI Software Engineer, Systems
At our fast-growing startup, we’re on a mission to harness AI to solve real-world problems and delight our users. As an AI Software Engineer (Systems), you'll design and optimize the backbone of our AI-powered products — making sure they're robust, scalable, and blazing fast. You’ll join a mission-driven, fast-paced team that values innovation, collaboration, and a sense of humor while tackling cutting-edge challenges.

Responsibilities

  • Design & build the core systems and services that power our AI products, ensuring they are scalable, secure, and highly performant.

  • Develop and optimize machine learning pipelines (from data ingestion to training and real-time inference) to deliver AI features quickly and reliably.

  • Integrate new machine learning models into production applications, working closely with ML engineers to turn prototypes into rock-solid services.

  • Monitor and improve system performance and reliability in production – you'll debug issues, tweak performance, and ensure our infrastructure can grow with our user base.

  • Collaborate with a small, cross-functional team (ML engineers, data scientists, product managers) to brainstorm ideas, plan projects, and rapidly ship new features.

  • Rapidly prototype new ideas and experiments to push the boundaries of our AI capabilities – we love quick iterations and learning by doing.

  • Maintain quality: Write clean, maintainable code with proper tests, and participate in code reviews to keep our codebase top-notch.

Responsibilities

  • 3+ years of hands-on software development experience, with a focus on building and scaling backend systems (bonus if some of that is with AI or data-intensive applications).

  • Strong coding skills in Python, C++, or similar languages, and solid computer science fundamentals (data structures, algorithms, etc.).

  • Experience with AI/ML: Familiarity with machine learning frameworks (e.g. PyTorch, TensorFlow) and a good understanding of how ML models work.

  • Cloud & DevOps savvy: Experience deploying applications on cloud platforms (AWS, GCP, etc.) and using containers/orchestration (Docker, Kubernetes) to build scalable systems.

  • Problem-solving chops: Excellent debugging and problem-solving skills – you enjoy digging into complex systems to figure out how things work (and how to make them better).

  • Adaptability: Comfortable working in a fast-paced, agile environment. You pick up new technologies quickly and aren't afraid of the unknown.

  • Team player attitude: Great communication skills and a collaborative spirit. You enjoy working with others and sharing knowledge in a supportive, no-ego team.

  • Education: Bachelor's degree in Computer Science or related field (or equivalent practical experience).

  • Embrace AI as a core part of how you work, think, and build.

Bonus Points

  • Deep learning extras: Experience with GPU programming (CUDA) or optimizing model inference (we’ll be impressed if you can squeeze out extra speed from our models!).

  • MLOps tools: Familiarity with tools like Kubeflow, MLflow, or other MLOps/DevOps pipelines to automate and streamline ML workflows.

  • Open-source contributions: You've contributed to open-source AI projects or have cool personal projects in AI/ML that you’re proud to share.

  • Ever-curious mindset: You stay up-to-date with the latest AI research and love tinkering with new models and technologies just for fun.

Benefits

  • Competitive salary and generous equity compensation

  • Health insurance for employees and their dependents

  • Daily lunch and dinner provided at SF headquarters

  • Company-paid travel to events and conferences

Nexus is committed to diversity in our workforce and is proud to be an Equal Opportunity Employer (EEO).

Is Kubernetes high demand?

Yes, Kubernetes is currently in high demand in the technology industry

Kubernetes is an open-source container orchestration platform that is widely used for deploying, scaling, and managing containerized applications

It provides a standardized way to manage and automate the deployment of containerized applications across multiple hosts and provides benefits such as reliability, scalability, and flexibility

As more and more organizations move towards containerized architectures, Kubernetes has become a critical component of their infrastructure

Kubernetes is used by companies of all sizes, from startups to large enterprises, and across various industries, including finance, healthcare, and e-commerce

According to various job market and salary surveys, Kubernetes-related skills are in high demand, and job positions related to Kubernetes are growing at a rapid pace

In fact, Kubernetes is often listed as one of the top skills that are in high demand by technology companies

Overall, Kubernetes is a highly sought-after skill in the technology industry, and it's likely to remain in high demand in the foreseeable future as more and more organizations adopt containerization and cloud-native architectures.