{"id":1493658,"url":"https://alion.io/job/upstart-senior-infrastructure-engineer","title":"Senior Infrastructure Engineer","company":{"id":1709,"name":"Upstart","domain":"upstart.com","url":"https://alion.io/company/upstart","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":86,"open_postings":17,"ghost_share":0,"stale_share":0.353,"repost_share":0,"time_to_fill_p50_days":74,"computed_at":"2026-10-01T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["CA"],"hiring_countries_total":1,"salary":{"min":166900,"max":230900,"currency":"USD","period":"year","gross":null,"usd_annual":230900},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Amazon EC2","optional":false},{"name":"Amazon EKS","optional":false},{"name":"Amazon S3","optional":false},{"name":"Apache Iceberg","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"Delta Lake","optional":false},{"name":"IAM","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"Terraform","optional":false},{"name":"Apache Kafka","optional":true},{"name":"GDPR","optional":true},{"name":"Jenkins","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-09-29T17:57:53Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-01T16:29:03Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Upstart\nAt Upstart, we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence.\nAs the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress.\nWe’re proudly digital-first, giving most Upstarters the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you.\nIf you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivated by work that truly matters, we’d love to hear from you.\nThe Team\nThe Data Platform Engineering team (Part of Upstart's Decisioning & Data) provides developer tools, frameworks, and scalable data infrastructure as shared services across Upstart. The team's primary objective is to provide Data Analysts, ML scientists, and Software Engineers access to high-quality data and developer tools to create business metrics and training data for respective product verticals. \nYou will join the Data Production Experience (PX) team, which owns Upstart’s Lakehouse (Databricks) infrastructure. This is the platform that Machine Learning, Analytics, and Software Engineering teams use to build the training data and metrics behind our lending, fraud, and pricing models-enabling growth and reducing risk across our business verticals.\nAs a Senior Infrastructure Engineer joining this team, you will focus on:\n Lakehouse Infrastructure and Security: Own the Databricks platform across multiple environments, including a newly launched regulated environment (Upstart Bank). Responsibilities include expanding infrastructure as code for new Lakehouse features, enforcing a no-click-ops policy, establishing disaster recovery, implementing least-privilege and attribute-based access controls (e.g., based on data classification), ensuring environment isolation, and resolving other known security risks.\nCompliance: Close control gaps and automate evidence gathering for OCC, SOX and SOC audits across access management, change management, and data quality.\n Cost and usage efficiency: Reduce Databricks and AWS spend through accurate cost attribution, waste detection, and platform-level optimizations (e.g., compute rightsizing, improving pruning, migrating to Graviton and spot instances, Delta Lake Archival).\nHow you’ll make an impact \nEvaluate and adopt new technologies, including open-source lakehouse alternatives, to expand platform capabilities.\nImprove developer efficiency and infrastructure reliability by working with cross-functional stakeholders like Data Engineering, Machine Learning, Analytics, Compliance, and Security. \nImprove Lakehouse security, usage efficiency, and observability by collaborating closely with the Data Engineering and Security teams.\nEvangelize good coding and engineering best practices while uplifting fellow engineers and mentoring junior team members.\nHelp break down complex projects and requirements into quarterly commitments and sprints.\nOwn Lakehouse infrastructure components end to end, from technical requirements and design through rollout and production support.\nMinimum Qualifications \nBachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n5+ years of experience in infrastructure engineering, DevOps, or data platform engineering.\nHands-on experience operating a lakehouse or big data platform (e.g., Databricks, Snowflake, Apache Spark, Delta Lake, Apache Iceberg).\nHands-on experience with AWS (e.g., IAM, S3, EC2, EKS), Python, infrastructure as code (Terraform or CDK), CI/CD, and Kubernetes.\nPreferred Qualifications\nExperience implementing security and compliance controls in audited environments (e.g., SOX, SOC 2, GDPR, GLBA, OCC), including access management, encryption, and change management.\nExperience reducing cloud or data platform costs through usage analysis, cost attribution, and infrastructure optimization (e.g., Graviton or spot instances, storage tiering).\nAbility to reason from first principles and work effectively through ambiguity on complex, cross-functional problems.\nProficient in DevOps engineering, leveraging Continuous Integration/Continuous Delivery (CI/CD) tools such as Kubernetes, Jenkins, CDK, APM, Terraform, and more. Experienced in automation, alerting, monitoring, security, and declarative infrastructure.\nSolid understanding of cloud networking fundamentals.\nSkilled at explaining complex concepts in simple, accessible terms and thriving in fast-paced, ambiguous environments.\nExperience using AI coding assistants or agents to accelerate infrastructure development and operations.\nFamiliarity with distributed systems, data architecture design, and big data technologies (e.g., Spark, Kafka, Lakehouse, Databricks)\nTravel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions’ cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.\nAt Upstart, your base pay is one part of your total compensation package. The anticipated base salary for this position is expected to be within the below range. Your actual base pay will depend on your geographic location-with our “digital first” philosophy, Upstart uses compensation regions that vary depending on location. Individual pay is also determined by job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.\nIn addition, Upstart provides employees with target bonuses, equity compensation, and generous benefits packages (including medical, dental, vision, and 401k).\nUnited States | Remote - Anticipated Base Salary Range\n$166,900—$230,900 USD\nWhat you'll love\nAt Upstart, our benefits are designed to support your health, financial well-being, family, and personal growth. Here’s what you can expect:\nCompetitive compensation, including base pay, bonus opportunities, and annual equity grants that vest quarterly \nRetirement benefits to help you plan for the future, including a 401(k) or Group Retirement Savings Plan with a company match of $2 for every $1 contributed, up to $15,000 annually (USD in the US, CAD in Canada)\nEmployee Stock Purchase Plan (ESPP) with discounted stock purchase options for eligible employees (US only)\nComprehensive health coverage designed to support you and your family, including medical, dental, vision, and wellness resources for US and supplemental health coverage for Canada.\nHealth Savings Account contributions from Upstart for eligible plans (US only)\nIncome protection benefits, including life insurance and disability coverage for added financial security\nPaid time off, sick leave, and company holidays, in line with local requirements\nPaid family and parental leave to support caregiving and major life moments (duration varies by country)\nFamily-centered benefits to support fertility, parenthood, and caregiving needs\nEmployee Assistance Program (EAP) offering mental health support and life-centered resources\nFinancial wellness resources, including access to financial planning tools and a financial concierge service (US Only)\nAnnual wellness allowance to support your physical and emotional well-being and personal development, based on what matters most to you\nAnnual productivity allowance to invest in relevant tools and resources you need to do your best work, no matter where you work from\nConnection and community through team events, all-company updates, and employee resource groups (ERGs)\nOnsite perks, including catered lunches and fully stocked micro-kitchens when working from one of our offices in the Bay Area, Austin, Columbus, and New York City\nFor roles based in Canada, please note that we are not currently able to hire in Quebec.\nUpstart is a proud Equal Opportunity Employer. Just as we are dedicated to improving access to affordable credit for all, we are committed to inclusive and fair hiring practices.\nIf you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please email \nhttps://www.upstart.com/candidate_privacy_policy","description_format":"text","description_chars":9477,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["401k plan","Equity","Life insurance","Parental leave","Retirement plans"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Software & Embedded Finance","Financial AI","Consumer Loans & Pawnshops"],"lifecycle":[{"event":"open","at":"2026-09-30T01:25:33Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":74,"reasons":["conf:5","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":{"stated_usd_annual":230900,"is_top_pay":true},"html_url":"https://alion.io/job/upstart-senior-infrastructure-engineer","json_url":"https://alion.io/job/upstart-senior-infrastructure-engineer.json","meta":{"generated_at":"2026-10-02T00:45:13Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":732,"day_limit":5000,"remaining_today":4268,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}