[All remote jobs](https://jobicy.com/jobs.md)[![QuickNode logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2025/08/e4603221-221.png)](https://jobicy.com/company/quicknode.md)[QuickNode](https://jobicy.com/company/quicknode.md) # Senior Software Engineer – Go Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/quicknode.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md), [Portugal](https://jobicy.com/job-region/portugal.md)SalaryUSD 171k–214k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceSeniorPublished2 Oct 2026Apply before1 Nov 2026Listing views57Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. QuickNode is seeking a Senior Software Engineer specializing in Go for its RPC Platform team, which operates high-performance blockchain infrastructure. The role focuses on designing, scaling, and optimizing low-latency backend and distributed systems that support blockchain RPC services. The engineer will own delivery from architecture through production, improve reliability and latency, and resolve complex cross-system incidents. Success requires substantial Go expertise, experience with distributed databases and streaming systems, and strong collaboration across product, infrastructure, DevEx, and customer-facing teams. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 4/5IndependentCollaborative AI insightThis is a senior, production-critical infrastructure role requiring 6–10 years of experience and deep ownership of distributed systems at high scale. The engineer must make architecture decisions, troubleshoot complex incidents, and deliver reliably in an ambiguous, fast-moving Web3 environment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$192,500US market range$170k–$225k0$248k AI insightThe disclosed yearly salary range is USD 171,000–214,000, with a midpoint of USD 192,500. This is competitive for a US-based senior Go/backend engineer working on high-scale distributed systems and blockchain infrastructure; an estimated broader US market range is USD 170,000–225,000 annually, depending on location, infrastructure depth, and equity or bonus structure. ## Core skills Skills and capabilities most closely associated with this opportunity. [Go](https://jobicy.com/jobs?search_keywords=Go.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[Backend Engineering](https://jobicy.com/jobs?search_keywords=Backend%20Engineering.md)[Blockchain Infrastructure](https://jobicy.com/jobs?search_keywords=Blockchain%20Infrastructure.md)[Web3](https://jobicy.com/jobs?search_keywords=Web3.md)[RPC Services](https://jobicy.com/jobs?search_keywords=RPC%20Services.md)[High-Throughput APIs](https://jobicy.com/jobs?search_keywords=High-Throughput%20APIs.md)[Databases](https://jobicy.com/jobs?search_keywords=Databases.md)[Streaming Architectures](https://jobicy.com/jobs?search_keywords=Streaming%20Architectures.md)[Production Reliability](https://jobicy.com/jobs?search_keywords=Production%20Reliability.md) Sample interview questionsHow would you design a high-throughput, low-latency RPC service in Go?I would begin by defining latency, availability, and throughput targets, then use stateless Go service instances behind load balancing with efficient connection management and bounded concurrency. I would add caching where data consistency permits, isolate downstream node dependencies with timeouts and circuit breakers, and use metrics, tracing, and load testing to continuously identify bottlenecks. Describe a production incident involving a distributed system and how you resolved it. I would first stabilize the service by reducing load, rolling back a risky change, or failing over where appropriate. I would use dashboards, distributed traces, logs, and dependency health checks to isolate the failure mode, communicate status clearly, implement a durable fix, and complete a blameless post-incident review with preventive actions and monitoring improvements. What Go practices do you use to build reliable concurrent services? I use explicit context propagation for cancellation and deadlines, bounded worker pools, carefully managed goroutine lifecycles, and channels only where they simplify ownership and synchronization. I also use race detection, profiling, structured error handling, and load tests to validate behavior under contention and failure. How would you improve uptime and reduce latency for an RPC platform that depends on multiple blockchain nodes? I would measure latency and error rates by chain, node provider, method, and region to identify the dominant causes. I would introduce intelligent routing, health-based failover, request hedging only where justified, caching for safe read paths, and capacity protections such as rate limits and backpressure, then validate improvements against defined SLOs. How do you balance independent technical ownership with cross-functional collaboration? I make decisions independently within clear goals and constraints, but surface assumptions, risks, and trade-offs early to affected partners. I use concise design documents, milestones, and operational metrics so Product, Infrastructure, DevEx, and customer-facing teams have visibility and can provide input before decisions become expensive to change. Opportunity details ## About this role. Quicknode is a cloud-based infrastructure company that powers the blockchain ecosystem. Our mission is to be the indispensable utility that empowers companies and innovators globally to build next-generation, Web3 enabled businesses & applications using blockchain technology. Quicknode is backed by some of the world’s best investors including Tiger Global, Y Combinator, SoftBank, and the Seven Seven Six Fund. The Quicknode team has over 110 people maintaining high performance global data infrastructure for amazing customers serving billions of requests daily. We are a global remote company with offices in Fort Lauderdale, FL and Lisbon, Portugal. The Role As a Senior Go Engineer on the RPC Platform team at Quicknode, you will design, build, and scale the critical infrastructure that powers high-performance blockchain RPC services used by developers and enterprises globally. This role operates at the intersection of distributed systems, Web3 infrastructure, and developer experience, requiring deep technical ownership and a strong bias toward execution. What You’ll Do * Design, build, and optimize high-throughput, low-latency backend services in Go. * Architect distributed systems. * Own end-to-end delivery from design through production. * Improve uptime and reduce latency across services. * Collaborate with Product, Infrastructure, and DevEx teams. * Debug and resolve complex production issues. * Drive engineering standards and best practices. What You’ll Bring * 6–10 years of experience building and operating backend or distributed systems in high-scale production environments, aligning with P4 expectations. * Strong proficiency in Go, with a demonstrated ability to quickly adopt new languages and frameworks as needed. * Deep experience designing and operating distributed systems, databases, and streaming architectures. * Proven track record of delivering scalable, reliable systems with measurable impact on performance, availability, and developer experience. * Experience working with Web3, blockchain infrastructure, or high-throughput API platforms, including familiarity with RPC services, node infrastructure, or data streaming pipelines. * Strong problem-solving skills with the ability to debug complex, cross-system issues in production environments. * Demonstrated ability to operate autonomously, prioritize effectively, and deliver outcomes in fast-paced, ambiguous environments. * Excellent communication skills with experience collaborating across engineering, product, and customer-facing teams. The Quicknode compensation philosophy includes pillars to ensure fair and unbiased compensation for all employees. To design and deliver total reward offerings that are employee-centric. To offer a competitive benefit package in all locations where we operate. To prioritize attracting and retaining the best talent globally. To maintain a high-performing and flexible way of working. During the hiring process, we are committed to discussing compensation openly and honestly. We encourage candidates to share their salary expectations and requirements early, allowing for an individualized discussion. We know that our total rewards practices impact the lives and wellbeing of our employees. Therefore, we will never stop learning about the market, our business, your needs, and how best to achieve our goals through thoughtful and data-driven practices. If you have any questions or require further information about the compensation for this position, please don’t hesitate to reach out to your Recruiter. We at Quicknode are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law. 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