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United States

San Francisco

Aptos is a people-first blockchain on a mission to help billions of people achieve universal and fair access to decentralized assets in a safe and scalable way.Founded by some of the original creators and maintainers that researched, designed, and built the Diem blockchain to serve this purpose, we have dedicated several years toward this mission. We believe the open-source Diem technology we have developed is an important foundation of a safe and scalable web3 world where everyone has more equitable opportunities to grow and access financial assets with lower fees and fewer intermediaries.  Aptos (Ohlone for "The People") encompasses our mission and ethos for why we build.About The RoleWe're looking for a talented, driven Software Engineer to build the experimental trading products on Aptos.This role will have significant impact and visibility - . You'll help shape technical direction and may grow into leading other engineers as the team scales.You should love building products from scratch and experimenting building and learning from how those products are used. You will be joining a lean team with a lot of autonomy – you should be a self-starter and thrive on self-directed work in a fast-paced environment.This role sits in our Palo Alto, CA or New York, NY office.What you'll be doing:<ul><li>Working fast to design, build, and experiment with trading products for the Aptos blockchain</li><li>Developing scalable APIs, indexing services, and data pipelines to support trading data access</li><li>Building and maintaining infrastructure for trading</li><li>Writing clean, performant, well-tested, and production-ready code</li><li>Collaborating closely with protocol engineers, infrastructure teams, and product engineers</li></ul>What you bring:<ul><li>3+ years of experience building and shipping products</li><li>Strong experience building products in languages such as Typescript or something similar</li><li>Strong problem-solving skills and the ability to work autonomously in a fast-paced environment</li><li>Comfortable leveraging AI tools to enhance productivity and code quality</li><li>Background in payments, DeFi, or TradFi (a plus)</li><li>Experience with blockchain (a plus)</li><li>Web3 experience or familiarity (a plus)</li></ul>The base salary range for this full-time position is $150k-$250k. The range displayed on each job posting reflects the minimum and typical maximum target for new hire salaries for the position of a candidate based in the Bay Area at any level. We do hire exceptionally talented professionals with decades of experience in their field. As such, our range may be higher than what is displayed. Our base salary ranges are determined by experience and location, and we hire at all levels for multiple roles. Within the range, individual pay is determined by work location, job-related skills demonstrated during the interviews, working experience, and relevant education or training. Please note that the compensation details listed in role postings reflect the base salary only and do not include equity, tokens, or benefits. #LI-PG1Our Benefits<ul><li>100% insurance premium coverage for medical, dental, and vision for you and your dependents (US Employees)</li><li>Equipment of your choice</li><li>Flexible vacation time, 11 holidays, and floating company days off </li><li>Competitive Salary</li><li>Protocol Token Grants</li><li>401k matching (US Employees)</li><li>Fun and inclusive in-person and digital events</li></ul>Aptos is committed to diversity in the workplace, and we’re proud to be an Equal Opportunity Employer. We do not hire on the basis of race, color, religion, creed, gender, national origin, citizenship, age, disability, veteran status, marital status, pregnancy, parental status, sex, gender expression or identity, sexual orientation, or any other basis protected by local, state or federal law. All employment is decided based on qualifications, merit, and business need.We are committed to providing a safe and secure hiring process for all applicants. Unfortunately, there are individuals who may attempt to impersonate Aptos or our employees for fraudulent purposes.To protect yourself, please be aware of the following:<ul><li>We will never ask you for payment of any kind during the application or onboarding process, including fees for background checks, training, or equipment.</li><li>We will always communicate with you using our official company email domain.</li><li>We will never request your personal financial information, such as your social security number or bank account details, during the initial application stages or via email or a video/voice call when onboarding.</li></ul>

Software Engineer, Trading Product

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices. High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today. APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation. Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining. AI Fleet management tools drive value to large fleets of vehicles. Map AI PlatformEvery day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world. A symphony of different Sensor Fusion, ML, AI, 3D Reconstruction processes are performed at the edge and in our processing clusters, for which the Map AI Platform orchestrates. The Map AI Platform is the core data engine that powers our data customers, consumer products, and user-facing AI technology. These complex systems control and learn patterns about map data all over the world and enable us to to continuously evolve map data intelligence, semantic extraction, QA at scale. For example, we’ve recently been using the system to learn hyperlocalized road network patterns to automatically QA and correct noise from map conflation. We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven. <h3>Responsibilities </h3><ul><li>Drive architecture, design, implementation, and eval of our core ai systems and data platform</li><li>Partner across company to ensure our systems are adaptable to emerging opportunities</li><li>Help plan technical roadmaps and contribute to higher level technical strategy </li></ul><h3>Requirements</h3><ul><li>Experience building production critical systems used by >=10s of thousands of users </li><li>Deep backend experience with large scale data platforms, DBs, ETL, distributed systems, etc. </li><li>Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc. </li><li>Track record of leading and mentoring teams in successful projects </li></ul><h3>Nice to Have</h3><ul><li>Experience generating, augmenting, and managing large amounts of ML training data </li><li>Experience integrating or training/fine-tuning ML CV vision models, VLLM models, etc. </li><li>Familiarity with geospatial data, HD mapping, sensors fusion, ADAS or AV, etc. </li><li>Experience scaling products or systems at hyper-growth startups</li></ul><h3>What we offer</h3><ul><li>Medical, dental and vision benefits plus FSA</li><li>Family leave</li><li>401(k) program</li><li>Unlimited Flex PTO</li><li>Commuter benefits</li><li>Paid lunch</li></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Staff Software Engineer - Map AI Platform

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices.High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at theedge. Data is automatically uploaded in near realtime over LTE or WiFi. Enterprise tech, mapping, auto,robotaxis, rideshare, and entertainment represent some of the customers consuming data today.
APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-levelimagery, construction, and driving events for AV simulation. Tech-savvy customers develop and deploysoftware directly to our dashcams to get realtime data for things like change detection or visual semanticdata mining. AI Fleet management tools drive value to large fleets of vehicles.
Responsibilities
- Architecting, building and developing large-scale infrastructure, distribute systems and networks;training other teams on these systems- Researching and developing new technologies in large scale decentralized computer and web3systems; integrating with core systems- Applying expertise with data structures or algorithms in an academic setting to create coreabstractions for 100s of thousands of users and 100s of millions of square miles of data- Working closely with operations, product development, and other engineering teams to deliverdata-intensive cross-functional platform solutions- Building auditable and observable systems that can robustly handle billions of video frames eachday- Helping to foster engineering excellence across backend development
Qualifications
- Master’s degree in Computer Science, Software Engineering, or a closely related field or foreignequivalent- 2 years (24 months) of experience with each of the following:
- Building scalable, fault-tolerant, and high-performance distributed systems; infrastructureautomation and optimization.
- Advanced data structures, indexing, partitioning, replication, horizontal scaling, and faulttolerance.
- Translating business needs into technical solutions, mentoring engineering teams, andfostering technical excellence.
- Implementing logging, monitoring, tracing, audit trails, and data compliance processes.
- Tools and technologies: Docker, Terraform, Apache Spark, Hadoop, PostgreSQL/PostGIS, Redis, Prometheus, Grafana, Git, AWS Lambda, AWS ECS, AWS Fargate, AWS EC2, AWS EMR, AWS Glue, AWS S3, and Node.js.
- Programming languages: Rust, Python, SQL/NoSQL, JavaScript, and TypeScript.
-Experience may be gained concurrently and may have been gained pre-, during, or post-master's
degree.$220,000 - $220,000 a yearHow to apply: Email resume to <a href="/cdn-cgi/l/email-protection" rel="noopener noreferrer nofollow ugc" target="_blank">[email protected]</a> w/subject line 882262.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Senior Software Engineer (San Francisco, CA)

Hivemapper is a decentralized global map data network built by 10s of thousands of mapping devices.  High-res sensors like RGB, Stereo Depth, GNSS, IMU, etc. feed sensor fusion and ML models at the edge.  Data is automatically uploaded in near realtime over LTE or WiFi.  Enterprise tech, mapping, auto, robotaxis, rideshare, and entertainment represent some of the customers consuming data today.APIs allow anyone to consume precisely extracted Map Features, HD map data, high-res street-level imagery, construction, and driving events for AV simulation.  Tech-savvy customers develop and deploy software directly to our dashcams to get realtime data for things like change detection or visual semantic data mining.  AI Fleet management tools drive value to large fleets of vehicles.Data PlatformEvery day, we process data from millions of KM from 10s of thousands of high resolution sensors deployed around the world.  A symphony of different Sensor Fusion, ML, AI, and 3D Sensing processes are performed at the edge, feeding an AI conflation system on our processing clusters called Map AI.The Platform Engineering team is responsible for the core distributed systems, ML infrastructure, data model abstractions, and data engine that powers our data customers, consumer products, and user-facing AI technology.We strongly believe in engineering design principles around abstraction and programmability that allow us to move quickly with minimal manual interventions. Our work is fast-paced, collaborative, and data-driven.<h3>Responsibilities</h3><ul><li>Drive architecture, design, implementation, and eval of our core systems and data platforms</li><li>Partner across the company to ensure our systems are adaptable to emerging opportunities</li><li>Help plan technical roadmaps and lead higher level technical strategy</li></ul><h3>Requirements</h3><ul><li>Experience building production critical systems used by >= thousands of users</li><li>Deep backend experience with a large scale data platform, DB, ETL, distributed system, etc.</li><li>Strong analytical skills in a relevant field like ML, math, statistics, quantitative economics, etc.</li><li>Track record of deploying and maintaining large scale distributed systems</li></ul><h3>Nice to Haves</h3><ul><li>Experience with geospatial data, HD mapping, sensor fusion, ADAS or AV, etc.</li><li>Experience managing, generating, and processing large amounts of geospatial or imagery data</li><li>Experience with Spark, EMR, MapReduce, Presto, Trino, Mongo Sharding, or similar systems</li><li>Experience with blockchain/web3Experience scaling products or systems at hyper-growth startups</li></ul><h3>What We Offer</h3><ul><li>Medical, dental and vision benefits plus FSA</li><li>Family leave</li><li>401(k) program</li><li>Unlimited Flex PTO</li><li>Commuter benefits</li><li>Paid lunch</li></ul>We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Staff Software Engineer - Data Platform

About MeshAt Mesh, our mission is to enable consumers to pay and be paid with any asset. Today, trillions of dollars in tokenized assets exist but remain largely unusable for everyday commerce. Mesh is bridging this gap by making crypto payments reliable, useful, and ubiquitous. We combine a powerful orchestration engine with a seamless consumer app to unlock liquidity for the world. Backed by leading investors like SBI, Money Forward, Paradigm, Dragonfly, Galaxy, and PayPal Ventures, we are building the infrastructure for the next era of the global economy. Join us!OverviewWe’re hiring a Head of Engineering to lead our Full-Stack Web3 team building the products and infrastructure that power our crypto payments platform, from client-facing wallet connection flows and dashboards to backend transaction processing, multi-chain infrastructure, and on/off-ramp systems. Mesh is a global company headquartered in San Francisco. What You'll Do<ul><li>Own the technical strategy for Web3 initiatives, translating company priorities into a multi-quarter plan executed across your team.</li><li>Build, manage, and grow a team of mainly senior to staff level engineers – hire, coach, and set career paths.</li><li>Lead the design and technical direction for complex workflows spanning wallets, transactions, settlements, and on-chain/off-chain orchestration, partnering closely with your managers on execution.</li><li>Own planning, execution, and delivery of multi-chain integrations, wallet infrastructure (self-custody and MPC/custodial), RPC node management, and on-chain transaction monitoring at the org level.</li><li>Partner with Product, Design, Compliance, Legal, and other cross-functional and external teams to turn ambiguous requirements into a coherent technical roadmap.</li><li>Represent engineering in exec-level planning and reporting, influencing company-wide roadmap decisions and resourcing.</li></ul>Who You Are<ul><li>5+ years of experience managing engineering teams with a track record of scaling teams and organizational structure.</li><li>8+ years of overall engineering experience, including production experience across frontend, backend, and on-chain components in a Web3/blockchain context.</li><li>Hands-on (or recent hands-on) experience with Web3 building blocks — wallet connectivity/integrations, dApp development, blockchain RPCs and indexing, and/or on-chain/off-chain payment & settlement flows — and comfortable going deep with your teams on technical tradeoffs.</li><li>Familiar with DeFi primitives (DEXs, swaps, lending, trading platforms) and how they operate in production systems.</li><li>Strong understanding of the transaction lifecycle (signing, submission, execution) and a security-first mindset you can instill across an organization.</li><li>Experience setting engineering standards and technical direction across a stack that spans modern frontend frameworks (TypeScript, React), backend services/APIs (Go, Rust, Java/Scala, Node.js, or similar), and smart contracts/on-chain interactions (Solidity).</li><li>Solid fundamentals in building scalable, reliable, observable distributed systems (monitoring, logging, tracing, performance) and a track record of holding teams accountable to reliability bars.</li><li>Comfort operating in the ambiguity of a fast-moving, regulated fintech environment — able to navigate cross-functional and cross-border collaboration (Mesh’s teams span North America, Europe, and India).</li></ul>The compensation range provided may span multiple career levels and will be narrowed during the interview process based on factors including a candidate's experience, skills, qualifications, and geographic location. For candidates outside of New York or San Francisco, compensation will be adjusted to reflect the applicable market and location-based pay band. The base salary range listed excludes commission (if applicable), equity, and benefits. The pay range represents the minimum and maximum target for new-hire compensation. Actual compensation may vary and may be higher or lower depending on individual circumstances.Pay Range$210,000—$300,000 USDWhy You’ll Love It HereAt Mesh, you're not stepping into a typical role—you're joining a rocket ship in mid-liftoff. You'll tackle complex, meaningful problems that actually move an industry forward, working alongside a sharp, motivated team that moves quickly, collaborates deeply, and expects everyone to operate with ownership. This is the kind of place where you'll see your work ship fast, make real impact, and be able to point to something and say, "I built that." You'll grow fast, level up your skills, and get a front-row seat to how a high-growth company scales from the inside, with competitive comp, solid benefits, and room to stretch your craft all coming standard. If you're energized by building, learning, and shaping something big—this is where you'll want to be.In-Office ExpectationsEmployees based in our San Francisco, New York, and Bangalore hubs are expected to work from the office at least 40% of the time (approximately two days per week). This expectation may vary slightly depending on role, team, and business needs. Certain roles that require closer cross-functional collaboration or operational support may have additional in-office requirements, which will be discussed during the interview process. Our hybrid approach is designed to balance meaningful in-person collaboration, team building, and real-time decision-making with the flexibility to work remotely. We believe this structure supports strong execution while preserving autonomy and focus time.How We Care For Our TeamWe believe great work happens when people feel valued and supported. That starts with competitive salary and equity that grows as you and the company grow, plus comprehensive health coverage for you and your family. We offer unlimited PTO—and we mean it. Take the time you need to recharge and show up at your best.We're invested in your growth with a dedicated budget for courses, conferences, and certifications. Work from wherever you're most productive with our remote-friendly approach, and count on having the top-tier tools and equipment you need to do exceptional work.Mesh Pay is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Head of Engineering, Onchain

8 link clicks.

Circle

The Senior Software Engineer is responsible for extending Circle's in-house blockchain systems infrastructure to support the tokenization of the world; analyzing requirements, procedures, and problems to improve existing systems and modifying systems; building and owning scalable microservices that are responsible for reliable and secure APIs that transfer value and assets across all blockchain protocols as well as traditional banking protocols; collaborating with Product and Engineering teams to design, test, and shape Circle features, including developing and documenting system design procedures, testing procedures, and quality standards; troubleshooting program and system malfunctions to restore normal functioning; building publicly accessible APIs that make it simple for developers to integrate with complex payment systems; integrating Platform Services with leading banks and financial technologies; consulting with management to ensure agreement on system principles; writing the infrastructure to deliver great payment experiences, including data sources (SQL or NoSQL), messaging systems and APIs; other duties as assigned.

Senior Software Engineer

Web3 Backend jobs in San Francisco, United StatesEarn 💰 $152k-$205k salary with theseCircle and other crypto companies

Browse 1+ Web3 Backend jobs in San Francisco, United States paying $152k-$205k/year. Build robust blockchain APIs and infrastructure services. Hiring at Circle. Apply now! Updated October 2026

Web3 Backend Jobs in San Francisco, United States

Web3 Backend Jobs in San Francisco, United States - $152k-$205k/year

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Job Title	Company Name	Salary	Location	Tags
Senior Software Engineer	Circle	152k-205k/year		SeniorBackendEngineeringRemote
Past and filled jobs:
Software Engineer, Trading Product	Aptos	150k-250k/year	📍 San Francisco, United States	EngineeringBackendTypeScriptDeFi
H Staff Software Engineer - Map AI Platform	Hivemapper		📍 San Francisco, United States	SeniorEngineeringBackendAI
H Senior Software Engineer (San Francisco, CA)	Hivemapper	220k/year	📍 San Francisco, United States	SeniorEngineeringBackendInfrastructure
H Staff Software Engineer - Data Platform	Hivemapper		📍 San Francisco, United States	EngineeringBackendDataSenior
M Head of Engineering, Onchain	Mesh	210k-300k/year	📍 San Francisco, United States	Engineering ManagerWeb3BackendFrontend

Web3 Backend Jobs in San Francisco, United States

Latest Backend Jobs.

Past and filled jobs:

Senior Software Engineer

Circle

Hiring Backend Talent?