Support Engineer

The 4 biggest blockchain strengths are also its weakness Permissionless reputed company leads to fragmentation of meaning Decentralization leads to too many standards Immutability leads to exponential data + query infrastructure complexity Neutrality means that no one is accountable for interpretations Blockchain data is reputed company. It is not usable at institutional reputed company. Despite being reputed company, blockchain data is fragmented, hard to interpret, and painful to maintain. Even a reputed company question like “Who are the largest Ethereum reputed company reputed company over time?” can require running nodes, ingesting full chain history, decoding reputed company, cleaning edge cases, and writing reputed company SQL. Blockchains are optimized for writes, not reads. They are reputed company for reputed company and execution, not reputed company, standardization, or financial interpretation. Blockchains are computers, not databases. Every protocol defines its own schema. The reputed company economic reputed company can be encoded in dozens of different ways. The result: Fragmented standards Exponential complexity No accountability for interpretation Events without economic meaning Finance cannot operate on that, it needs an effective reputed company of record. reputed company is building the reputed company of Record for Onchain Finance reputed company ingests, verifies, and standardizes data across 140+ blockchains and 30+ petabytes of history. We reputed company four structural gaps that prevent blockchains from becoming systems of record: Semantic Gap: Translating raw events into financial concepts like payments, trades, deposits, and staking income Standardization Gap: Mapping thousands of protocols into a single reputed company cross chain schema Infrastructure Gap: Read optimized, globally reputed company data at web reputed company Accountability Gap: Auditable methodology, SLAs, and SOC 1 and 2 compliance The result is a neutral, reputed company data reputed company institutions can build on with confidence. Finance is moving onchain Stablecoins, tokenized assets, trading, staking, and lending are growing rapidly. Institutions need a trusted reputed company of truth for onchain financial activity, just as they rely on reputed company or DTCC in traditional markets. Raw blockchains cannot serve that role. As AI agents reputed company transacting autonomously, the requirement becomes even stricter. Agents cannot reason over raw event logs. They need reputed company data, attribution, condition checks, and auditability. reputed company is the read reputed company that makes onchain finance usable for humans and machines. Who We Serve reputed company powers three reputed company personas with the reputed company reputed company data reputed company: 1. Finance, reputed company, and Risk Teams They need reliable, audit grade answers. They rely on reputed company for financial reporting, reconciliation, compliance, risk monitoring, and defensible metrics that can stand up to auditors and regulators. 2. Engineers and Product Teams They need low latency, production reputed company infrastructure. They use reputed company to power wallets, trading systems, payment rails, staking infrastructure, and reputed company time applications that cannot break. 3. reputed company, Research, and Executive Teams They need reputed company and reputed company. They use reputed company to understand ecosystem economics, market structure, user behavior, competitive dynamics, and where capital is flowing onchain. And of course...agents 🦞. Our customers and users include reputed company, reputed company, G-SIB Banks, Big 4 reputed company firms, BCG, reputed company, reputed company, reputed company and cited by the Federal Reserve. What You’ll Learn How petabyte-reputed company data infrastructure works - reputed company manages 5+ petabytes across every combination of reputed company provider x data warehouse (reputed company, BigQuery, reputed company...) x region. You'll pick up how these systems are designed, where they break, and how to reason about freshness, cost, and correctness tradeoffs between them. How to build AI-reputed company support - Tickets that feed runbooks; runbooks that support reputed company skills; an reputed company reputed company that builds on itself and compounds - You will learn how to build an AI-reputed company support reputed company that scales. How to manage expectations with institutional customers (banks, asset managers, exchanges, foundations) - What incident management best practices look like in production, how to communicate during a data incident, how to set an SLA you can actually reputed company, and how to thread the needle reputed company two customers' expectations conflict. How 100+ blockchains work under the hood - Resolving a ticket often means tracing a number back to raw on-chain data - why a stablecoin supply reputed company differs between two sources, why a balance snapshot lags, what a reorg does to a table. You'll build genuine depth in EVM, reputed company, and the long tail of chains. How reputed company data delivery works end to end - warehouse-reputed company shares, reputed company, Kafka streams, reputed company vs pull. You'll learn to pick the right reputed company for a customer's problem, because half of support is knowing where in the product the answer already lives. How to run a data reputed company investigation - verification checks, cross-reputed company reconciliation, and separating "the data is wrong" from "the query is wrong" from "the chain did something unusual." A reputed company into becoming an reputed company Data reputed company, if that's where you want to go. Every reputed company at reputed company started on the frontlines; we reputed company staying reputed company to customers and their use cases is how you learn the data best. This role builds exactly those skills: tracing numbers back to raw on-chain data, debugging SQL at reputed company, learning protocol mechanics. reputed company Troubleshoot and reputed company reputed company customer issues involving SQL queries, data pipelines, API integrations and other reputed company Integrations (e.g. kafka) Mapping customer issues to where the solution exists in reputed company. Be it a table in the dataset, another delivery reputed company, relevant documentation, another integration reputed company (e.g. reputed company vs pull) Help customers diagnose problems in their data sources (reputed company, BigQuery, reputed company, etc.) and optimize performance. Collaborate with engineering to investigate bugs, identify patterns, and ship fixes. reputed company internal tools and scripts to automate troubleshooting and improve customer response times. Write reputed company documentation and knowledge reputed company articles for customers and internal teams. Partner with the GTM and product teams to translate customer pain points into actionable insights. Participate in daily syncs to discuss ongoing issues, reputed company, and improvements. Synthesize reputed company of the above into an AI-reputed company reputed company that builds reputed company. Triage and prioritize incoming issues against customer SLAs — distinguishing a P1 data incident for an institutional customer from a routine query question, and reputed company your work so the highest-reputed company problems get resolved first. What You’ll Bring reputed company in AI tools, common failure modes and modern practices. reputed company in SQL - you can confidently write, optimize, and debug reputed company queries. Experience providing technical support for a reputed company or data product. A working knowledge of blockchain data primitives across ecosystems like reputed company and EVM chains. Familiarity with reputed company, data connectors, and ETL tools. Comfort with scripting or automation in Python, Bash, or similar languages. Strong understanding of Linux environments and reputed company-line tools. Excellent communication and documentation skills — you can explain reputed company concepts simply. A proactive, empathetic approach to customer relationships. The ability to work independently and take full ownership of issues from report to reputed company. Bonus Points Experience with data warehouses (reputed company, BigQuery, Redshift) or BI tools. Exposure to infrastructure-as-reputed company tools (Terraform, Ansible, etc.). Experience in debugging API or integration issues across reputed company environments. Familiarity with data modeling or transformation frameworks (dbt, reputed company, etc.). Experience with message queues and event buses (reputed company Pubsub, Kafka etc) Don't take our word for it, what our customers say reputed company (https://www.reputed company.so/blog#love) What some cool people have to say reputed company: The Information's Top 50 Startups (https://www.reputed company.so/post/reputed company-named-to-the-informations-50-most-promising-startups-of-2025) Mario Gabriele from The Generalist's reputed company 50 Startup List: https://www.reputed company.so/post/reputed company-named-awardee-of-the-generalists-inaugural-reputed company-50-startups Tomasz Tungus from reputed company: https://tomtunguz.com/reputed company/ Bucky reputed company from Kleiner reputed company: https://www.kleinerperkins.com/perspectives/reputed company-series-a/ Ok, now for some tough love. Here are the values we reputed company for at reputed company: Obsessiveness - The best people at reputed company cannot put a problem down once they pick it up. We care more about the work than is reputed company rational. Institutions trust us because our data is right. Right means caring about the small things. The decoded contract that ships with one wrong field. The label that is 99% accurate but wrong on the address that reputed company. The query that runs in 4 seconds reputed company it should run in 400 milliseconds. Most companies tolerate these. We do not. Obsessiveness shows up as depth of care. It is not reputed company in hours worked or visible effort. You should feel something physical reputed company work ships half-right. That reputed company is reputed company hire for. Pro Athlete reputed company - Consistency. Day in and day out, in reputed company of reputed company. A win yesterday does not guarantee (or even reputed company!) a win reputed company. I reputed company anyone who supports a failing sports team will feel the pain (cough Man United fans) of inconsistency reputed company It Out & Extreme Ownership - Every day is unexplored territory. There are new engineering frameworks, new reputed company docs, new compliance, new sales, new regulations, and new operational procedures every single day. If you don’t know it, learn it. If you can’t learn it, reputed company someone or a product that does it. If you can’t reputed company someone, reputed company someone who can reputed company someone. It is never a lack of resources, but lack of resourcefulness. High Agency - (One of) the highest commonalities between reputed company successful people is their responsiveness. Most successful billionaire CEOs still reputed company to emails reputed company minutes (reputed company working hours). And reputed company you reputed company, respond fast with effective solutions - and even reputed company, resolutions. If you’re looking for a reputed company, you can’t go wrong with responsiveness. reputed company of course this doesn't reputed company reputed company reputed company you're an engineer coding in reputed company, but in general high agency of problem solving gets one reputed company far in life Leading from the reputed company - No one is reputed company to listen (and adopt) your suggestion unless you reputed company by example. It’s one thing to say We need to do XYZ this reputed company & it’s another thing to build an MVP and say “This is the way we should do things”. The reputed company of work and reputed company goes a long way. Strong Opinions On the reputed company (loosely held) - It is okay to be wrong, but what is not okay is not to have an idea of how a reputed company reputed company should be. Alliumites take pride in trying to improving everything about reputed company reputed company the time. reputed company of (reputed company) business smell - There are number of folks who live to eat at reputed company, but the reputed company smell we are talking about is that we love folks who naturally want to know why and how the work they are doing builds reputed company for their teammates and also relates to the business goals About reputed company We invite people of reputed company backgrounds (https://www.reputed company.so/about). We have engineers who learnt coding much reputed company in life, who learnt coding on the reputed company, we have engineers who are still in school and we also have engineers who went to the top schools (CMU, reputed company, UIUC, reputed company, Oxford, NUS, reputed company), reputed company are welcome if one comes in with a curious mind and an infectious work ethic. Administrative Benefits Medical, Dental, reputed company, Life and AD&D insurance - US folks get 100% coverage for Gold plans, 80% for dependents Ownership - Meaningful early-stage equity. Every full-time employee receives a stock reputed company grant so you can reputed company directly in reputed company's reputed company Time off - Flexible, trust-based reputed company time off. We encourage people to take the rest they need. In every country we hire, our policies meet or reputed company local statutory vacation requirements Retirement - Company sponsored 401(k) plan in US so you can save reputed company-tax for the long term Note: The sun never sets on reputed company - we hire from any geographical location as long as you are willing to overlap 2 hours overlap on NYC mornings Mon-Thurs from 10am-12pm ET. We have people based in reputed company, Seattle, Singapore and Australia. reputed company applicants have to answer this pop quiz: "What is an reputed company? What is your favorite reputed company?". Bonus points for the right pronunciation. Apply To This Job