{"id":270562,"url":"https://alion.io/job/maxima-software-engineer-data-infrastructure","title":"Software Engineer - Data Infrastructure","company":{"id":456047,"name":"Maxima","domain":"maxima.ai","url":"https://alion.io/company/maxima-5","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":305,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":152000,"max_usd":283000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":3667},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Scale AI","optional":false},{"name":"Oracle","optional":true},{"name":"Python","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-05-28T18:29:15Z","employer_posted_date":"2026-09-10","last_verified_at":"2026-10-30T17:55:45Z","board_verified":true,"closed_at":null,"days_open":155,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":153},"description":"About Maxima\nNobody went into accounting to spend the first week of every month matching transactions by hand. Maxima was built so they don't have to. Our agents do the accounting work itself: journal entries, transaction matching, reconciliations, and flux analysis, continuously and with a full audit trail. Accountants review and approve. Nothing posts without a person signing off. We remove the grind, not the human.\nMaxima is the agentic AI platform for enterprise accounting. Our three co-founders scaled finance at Rubrik from $5M ARR to a $15B NYSE IPO, built the reconciliation and billing systems behind Netflix's $32B in annual revenue, and built AI infrastructure serving two billion monthly users at Meta. We've raised $41M from Redpoint Ventures, Kleiner Perkins and Audacious Ventures, joined by former BlackLine executives and the CFOs of Rubrik and Vanta. To date we've processed more than $400B across 350M transactions at 100.00% accuracy, for customers including Scale AI, Rippling, Glean, Zendesk, Handshake, Zip, and Decagon.\nWe're early and moving fast. The playbook here gets written, not inherited, and the person closest to the work makes the call. We're looking for people who build from first principles and hold themselves accountable for what actually lands - people who'd rather build the category than join it. Everything you need to know is below.\nThe role\nWe are working on some of the hardest problems in enterprise automation, with an engineering team that includes staff-level talent from Robinhood, Glean, Google, Netflix, and Meta. The system handles high-volume financial data and complex accounting workflows, and every execution has to be accurate and reliable, because the output is a company's books.\nEvery accounting workflow and every agent at Maxima runs on the data platform, and you will build it. Financial data arrives from ERPs, banks, payroll, and billing systems in volumes that grow with every customer, and it has to be ingested, matched, and reconciled without losing a cent or a trail. As a Data Infrastructure Software Engineer, you will design and scale the systems that do that: our data lakes, our multi-tenant relational databases, and the search and vector infrastructure that supports the workflows on top.\nThis is a foundational role on a small team, with the ownership that comes with it. The decisions you make about how financial data is modeled, stored, and served will shape what the agents can do for years.\nWhat you'll do\nArchitect our data lakes and the ingestion pipelines that feed them from ERPs, banks, and other financial systems\n\nBuild and scale our multi-tenant relational databases and the data models behind journal entries, reconciliations, and transaction matching\n\nEvaluate and build the right search engine and vector database setup to support agent and accounting workflows\n\nDesign durable, highly available financial data processing layers that the agents depend on\n\nOwn the reliability, observability, and performance of the data platform as customer volume grows\n\nWork with the AI Agents and product engineering teams so the platform serves what they are building\n\nWhat we're looking for\n5 or more years working with data systems at high-growth companies\n\nStrong experience with relational databases and data modeling\n\nExperience building and operating data pipelines and distributed, data-intensive systems\n\nFamiliarity with web development and cloud infrastructure such as GCP\n\nCare about correctness; you have worked on systems where the numbers have to be right\n\nStrong communication and collaboration skills\n\nNice to have\nExperience with mission-critical systems such as fintech, or complex workflow engines\n\nSearch engines or vector databases in production\n\nFinancial data specifically: ERP integrations (NetSuite, SAP, Oracle, Workday), banking data, or accounting systems\n\nGo, TypeScript, or Python\n\nWhere and how you'll work\nThis role is based in our San Mateo office. We value in-person collaboration and are in office four to five days a week for our on-site roles.\nWhy join Maxima\nThe work. Agentic accounting is a category being defined right now, and Maxima is one of the companies defining it. The product does the accounting work itself, so what you build, sell, or deploy shows up in a customer's books\n\nThe people. Founders who ran the finance org at Rubrik and built the close systems at Twitter and Netflix. Engineers from Robinhood, Glean, Google, Netflix, and Meta. Controllers and accountants on the team who have closed books themselves. Small teams in San Mateo and Toronto that work in the same room, say what they think, and hold a high bar\n\nThe benefits. Competitive salary, 401(k) for US employees, unlimited PTO, lunch in the office, and commuter benefits\n\nThe process. A person reads every application, and we tell you where you stand at every stage\n\nA note on AI\nWe build AI and we expect you to use it. Use it to research us and to prepare. In live conversations we want your own thinking in your own words, and if you use AI on a take-home exercise, tell us where it helped.\nEqual opportunity\nMaxima is an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any other legally protected status. 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