{"id":1541547,"url":"https://alion.io/job/monte-carlo-senior-backend-engineer","title":"Senior Backend Engineer","company":{"id":48429,"name":"Monte Carlo","domain":"montecarlo.ai","url":"https://alion.io/company/montecarlo","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":180000,"max":230000,"currency":"USD","period":"year","gross":null,"usd_annual":230000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Anthropic","optional":true},{"name":"Claude","optional":true},{"name":"Databricks","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"Snowflake","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-30T19:17:26Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-23T19:31:09Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"About Monte Carlo\nMonte Carlo is the agent trust platform that unifies data and agent observability to monitor, troubleshoot, and improve production AI systems. As enterprises prepare to deploy thousands of agents across business-critical use cases, Monte Carlo provides the reliability infrastructure to support them along this AI transformation, from human-guided agents to fully autonomous operations. Founded in 2019 and backed by leading investors, Monte Carlo empowers data and AI teams to ship trusted AI at scale. Learn more at montecarlo.ai\nThe Role\nWe're hiring a Senior Fullstack Engineer to build the core of our agent trust platform: the backend services, distributed systems, and agentic workflows that let enterprises monitor and trust AI in production. You'll get a problem statement, not a spec, and take it from prototype to architecture to a tested, deployed product. The role is mostly backend, and you'll ship the React surfaces that go with it when the work calls for it.\nWhat You'll Do\nTake vague problem statements to production: prototype fast, pick the architecture, build it, test it, deploy it, and own it after launch.\n\nBuild and run production-grade backend services and APIs in Python that power Monte Carlo's core platform and agentic systems.\n\nDesign and scale distributed systems that stay reliable, observable, and fast as customer data and agent volume grow.\n\nStart with simple, flexible designs and evolve them as the product and company scale, without over-building up front.\n\nBuild and maintain data pipelines behind analytics, ML, and customer-facing features.\n\nWork with product, ML, and infrastructure partners to ship customer value, and build React front ends where they're needed to finish the job.\n\nWhat We're Looking For\nBackend depth. 5+ years shipping production backend services. Strong Python or an equivalent backend language, and real experience designing, running, and debugging APIs and services under load.\n\nDistributed systems. You've built and scaled distributed architectures yourself and know the tradeoffs around reliability, consistency, and observability from running them in production.\n\n0-to-1 ownership. You've taken ambiguous problems from a blank page to a deployed product: prototype, architecture, build, testing, and deploy. You move with urgency and treat outcomes as yours.\n\nData and cloud. Experience with data pipelines or data-heavy systems on AWS and cloud-native services. PySpark and ML platform experience are a plus.\n\nFullstack range. Frontend experience, ideally React, so you can ship the whole feature. Experience with agentic or LLM-powered systems is a strong plus.\n\nThis Is Not For You If\nYou want a detailed spec before you start building.\n\nYour backend experience is mostly CRUD apps on a single service, not distributed systems you've scaled and run.\n\nYou'd rather hand off testing, deployment, and on-call than own them.\n\nYou're mainly a frontend engineer looking to grow into backend.\n\nWhy Monte Carlo\nWe created the data observability category, and we're doing it again with agent trust - you'll build where the market is forming, not where it's settled\n\nSeries D, $236M raised, backed by Accel, Redpoint, Notable Capital, ICONIQ Growth, and Salesforce Ventures\n\nCustomers include HubSpot, Fox, Nasdaq, Toast, and Mercado Libre - your work ships to enterprises with real stakes\n\nSnowflake Partner of the Year and a verified connector in Anthropic's Claude AI directory\n\nRemote-first by design since day one, and recognized as a Best Workplace for it\n\nCompetitive compensation, equity, and a remote-first environment.\n\nCome As You Are\nEquality is a core tenet of Monte Carlo's culture. We are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences.\nMonte Carlo is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.\nWe are proud to be recognized for our world-class employee experience:\nMonte Carlo Named 2025 Databricks Data Governance Partner of the Year\nWe were recently recognized as the #1 Data Observability Platform by G2 for the 4th consecutive quarter. See our G2 reviews here!\nMonte Carlo Named to G2's Best Software Products of 2026\nMonte Carlo was featured on Database Trends and Applications (DBTA’s) Trend-Setting Products for 2025!\nWe are super proud to be named the 2026 Best Place to Work by Built In!\nBeware of Imposter Recruiters and Job Scams\nAll official communication from our recruiting team will come from an @montecarlodata.com email address.\n\nWe will never ask candidates to provide sensitive personal information (such as bank details, social security numbers, or payment) at any stage of the recruitment process.\n\nWe will never request payment for equipment, training, or application processing.\n\nOur open positions are always listed on our official careers page: https://jobs.ashbyhq.com/montecarlodata.\n\nIf you are contacted by someone claiming to represent Monte Carlo but you’re unsure of their legitimacy, please reach out to us directly at  before sharing any personal information.","description_format":"text","description_chars":5185,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Data Quality & Observability","Data Observability"],"lifecycle":[{"event":"open","at":"2026-09-30T21:14:08Z"}],"visa":[],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.846,"p_room":0.9,"age_days":22,"expected_fill_days":38,"reasons":["conf:0","win:mid"],"computed_at":"2026-10-23T05:54:15Z"},"pay":{"stated_usd_annual":230000,"is_top_pay":true},"html_url":"https://alion.io/job/monte-carlo-senior-backend-engineer","json_url":"https://alion.io/job/monte-carlo-senior-backend-engineer.json","meta":{"generated_at":"2026-10-23T22:21:26Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":5052,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-24T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":48429},"rest":"https://alion.io/mcp/rest/get_company?id=48429"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fmonte-carlo-senior-backend-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fmonte-carlo-senior-backend-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fmonte-carlo-senior-backend-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/monte-carlo-senior-backend-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fmonte-carlo-senior-backend-engineer"}]}