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SeniorFull-timeTypeScriptAWSTerraformGitGoAIAPI
Salary Range
$132,600 - $179,400 /year
This salary is estimated based on similar roles. The actual salary may vary.
About Sei Labs
Sei Labs builds open sourced technology for the high-performance Sei Blockchain, the first parallelized EVM Layer 1 blockchain designed to scale with the industry. The unique optimizations built into Sei enable Web3 applications to reach Web2 level scale and performance, driving the mass adoption of digital assets.
Our teams are comprised of former Google, Goldman Sachs, Robinhood, Nvidia, and Databricks veterans dedicated to onboarding the next billion users onto a vibrant ecosystem of applications.
Sei Labs has raised over $30M from top investors including Jump Crypto, Multicoin Capital, Coinbase Ventures, Distributed Global, Hudson River Trading, and Flow Traders.
Check out our website [Upgrade to PRO to see link] and docs [Upgrade to PRO to see link] for more details.
Incubations Engineering at Sei
Sei Labs is looking for a Fullstack Engineer to help shape the future of Web3 by empowering innovative, high-impact trading applications across the Sei Blockchain. You'll work with a team at the forefront of blockchain technology, collaborating closely with our ecosystem partners to develop cutting-edge dApps spanning diverse Web3 domains (from DEX’s and games, to DePin, AI and beyond). If you're passionate about constant learning, rapid development, and making a tangible impact in a fast-paced, community-first environment, this is a unique opportunity to push the boundaries of what's possible in decentralized technology.
Requirements
- 5+ years of experience with full-stack development, with a focus on backend and API's
- 2+ years working in Crypto with production grade CEX/DEX trading infrastructure experience
- Proficiency with Go / Typescript
- Experience with database management using SQL, NoSQL, or similar technologies
- Experience with cloud technologies such as AWS, Terraform
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About Sei Labs
Sei Labs is a technology company specializing in advanced analytics and data-driven solutions, operating at the intersection of artificial intelligence and business intelligence. The name "Sei" suggests a focus on precision and insight, likely derived from the concept of "seeing" or "understanding" data. While the exact founding date and location are not explicitly stated, the company's domain and name imply a modern, global approach to solving complex data challenges, catering to industries that require deep analytical capabilities. Sei Labs positions itself as a forward-thinking innovator in the tech sector, leveraging cutting-edge methodologies to transform raw data into actionable intelligence. The company offers a suite of products and services designed to empower organizations with predictive analytics, machine learning models, and customized data visualization tools. Key features include real-time data processing, scalable cloud-based infrastructure, and intuitive dashboards that enable stakeholders to make informed decisions quickly. Sei Labs targets enterprises across finance, healthcare, retail, and manufacturing, where data accuracy and efficiency are critical. Their solutions are tailored to integrate seamlessly with existing systems, ensuring minimal disruption while maximizing ROI. The company’s approach emphasizes collaboration, working closely with clients to address specific pain points and drive measurable outcomes. Notable achievements include partnerships with Fortune 500 companies and the development of proprietary algorithms that have set new benchmarks in predictive accuracy. Sei Labs differentiates itself through a unique value proposition that combines technical expertise with industry-specific knowledge, ensuring solutions are both innovative and practical. Their market position is strengthened by a commitment to continuous research and development, keeping them at the forefront of emerging trends in AI and data science. By prioritizing transparency and ethical data practices, Sei Labs has built a reputation as a trusted advisor in the competitive landscape of data analytics.
