Web3 Jobs with Company retreats

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Job Position Company Posted Location Salary Tags

Gauntlet

Remote

$185k - $225k

Staking Facilities GmbH

New York, NY, United States

$88k - $150k

ZIGChain

Remote

$120k - $150k

Gravity Team

Remote

$100k - $250k

Staking Facilities GmbH

Remote

$84k - $150k

ZIGCHAIN

Remote

$80k

Gravity Team

Remote

$80k - $180k

Gauntlet

Remote

$120k - $140k

Startale Group

Remote

Gauntlet

Remote

$120k - $140k

Gauntlet

New York, NY, United States

$148k - $151k

Zenith

Remote

Zenith

Remote

NOTALONE

Remote

$36k - $60k

Gauntlet

Remote

$135k - $155k

Gauntlet
$185k - $225k
New York City / San Francisco / Los Angeles / Remote
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Senior Software Engineer: Trading Infrastructure

New York City / San Francisco / Los Angeles / Remote
Engineering /
Full Time /
Remote

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Gauntlet leads the field in quantitative research and optimization of DeFi economics. We manage market risk, optimize growth, and ensure economic safety for protocols facilitating most spot trading, borrowing, and lending activity across all of DeFi, protecting and optimizing the largest protocols and networks in the industry. We build institutional-grade vaults for decentralized finance, delivering risk-adjusted onchain yields for capital at scale. Designed by the most vigilant, quantitative minds in crypto and informed by years of research.

As of November 2025, Gauntlet manages over $2B in vault TVL, and optimizes risk and incentives covering over $42 billion in customer TVL. We continually publish cutting-edge research that informs our risk models, alerts, and analysis, and is among the most cited institutions — including academic institutions — in terms of peer-reviewed papers addressing DeFi as a subject. We’re a Series B company with around 75 employees, operating remote-first with a home base in New York City.

As a company, we build institutional-grade vaults that deliver risk-adjusted DeFi yields at scale, powered by automated risk models and off-chain intelligence. Gauntlet curates strategies across Morpho, Drift, Symbiotic, Aera and more, with >$2B in vault TVL and a growing suite of Prime, Core and Frontier vaults.

Our mission is to drive adoption and understanding of the financial systems of the future. We operate with a trader’s discipline and a risk manager’s skepticism: size carefully, stress routinely, unwind decisively. The label equals the package equals the contents. No surprises, just predictable, reliable vaults.

Join our derivatives trading team and work on the key infrastructure that powers our product offering as well as trading systems. Work with a team with decades of experience in tech and finance to build the backbone of our high-performance derivatives trading strategies. You'll work close to trading, own critical infrastructure end-to-end, and ship systems that manage real capital in live crypto markets.

Responsibilities

    • Design, implement, and operate scalable distributed systems in production.
    • Build low-latency and streaming systems for real-time and near real-time workloads.
    • Develop data pipelines and ETL workflows for ingesting, transforming, and serving data.
    • Build and maintain application services and APIs used by internal and external systems.
    • Implement Web3 protocol integrations, including smart contract interactions and on-chain data ingestion via RPCs, logs, and indexers.
    • Apply SRE principles to improve reliability, observability, and operational correctness.
    • Participate in incident response, debugging production issues and driving root-cause fixes.
    • Contribute to system design and code reviews, maintaining high engineering standards.
    • Leverage AI-assisted development tools to improve productivity, code quality, and system understanding, while exercising strong engineering judgment.
    • Write and maintain technical documentation for systems and workflows.

Qualifications

    • 6+ years of professional software engineering experience.
    • Strong proficiency in Python, Rust, and/or JavaScript/TypeScript.
    • Experience building low-latency or high-throughput systems.
    • Experience designing and operating scalable distributed systems.
    • Hands-on experience with Web3 systems, including interacting with smart contracts and consuming on-chain data.
    • Experience with streaming or messaging systems (e.g. Kafka, Pub/Sub).
    • Experience with data storage systems (e.g. Postgres, ClickHouse).
    • Experience deploying and operating software in cloud environments (e.g. GCP).
    • Familiarity with containerized systems (Docker, Kubernetes).
    • Understanding of SRE practices, including monitoring, alerting, and incident response.
    • Strong understanding of security fundamentals (authentication, authorization, secrets management).

Bonus Points

    • Previous experience at financial or trading firms.
    • Smart contract development experience (e.g. Solidity).
    • Experience with workflow orchestration (e.g. Dagster).
    • Experience operating systems with strict reliability or performance requirements.
    • Exposure to infrastructure as code or CI/CD systems.

Benefits and Perks

    • Remote first - work from anywhere in the US & CAN!
    • Competitive packages with the added opportunity for incentive-based compensation
    • Regular in-person company retreats and cross-country "office visit" perk
    • 100% paid medical, dental and vision premiums for employees
    • Laptop provided
    • $1,000 WFH stipend upon joining
    • $100 per month reimbursement for fitness-related expenses
    • Monthly reimbursement for home internet, phone, and cellular data
    • Unlimited vacation policy
    • 100% paid parental leave of 12 weeks
    • Fertility benefits
$185,000 - $225,000 a year
Please note at this time our hiring is reserved for potential employees who are able to work within the contiguous United States and Canada. Should you need alternative accommodations, please note that in your application.

The national pay range for this role is $165,000 - $205,000 plus additional On Target Earnings potential by level and equity in the company. Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide. Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.  

#LI-Remote
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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