Senior Software Engineer, Backend (Lake Analytics Platform)

Reposted One Month Ago
Easy Apply
Hiring Remotely in United States
Remote
173K-255K Annually
Senior level
Big Data • Fintech • Mobile • Payments • Financial Services
We create honest financial products that improve lives. Ready to make a difference?
The Role
Build, operate, and extend data platform and application-layer services enabling secure, self-service data applications at scale. Implement provisioning, CI/CD, access control, integrations, observability, automation, and incident response while contributing to semantic layer and AI-ready tooling roadmaps.
Summary Generated by Built In

At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most.

The Data and Storage Services team is responsible for Affirm's data infrastructure across OLTP and OLAP systems, spanning critical online checkout databases, batch orchestration, streaming infrastructure, event-driven frameworks, BI, analytics tooling, large-scale data platforms, and agentic data tools such as semantic layers and internal platform data applications. Our mission is to provide trustworthy, intuitive, and cost-efficient solutions for Affirmers to secure, store, analyze, and transform data at exceptional scale.

This role focuses on the platform and applications layer of Affirm's data infrastructure — building, operating, and extending systems that enable teams across Affirm to work with data at scale. You will be a core contributor to platform reliability, self-service capabilities, and the roadmap toward agentic data tooling and semantic layer infrastructure.

What You'll Do
  • Build and operate core platform capabilities: Design and implement platform features that enable engineers across Affirm to build, deploy, and operate data applications at scale — covering automated provisioning, deploy pipelines, access control, service lifecycle management, and reliability tooling.
  • Develop integrations: Build and maintain integrations between the platform and internal systems — CI/CD pipelines, identity and secrets management, external APIs, and event-driven hooks — so that application teams have secure, reliable, and self-service access to the tools they need.
  • Strengthen data access and governance: Design and operate secure data access patterns across the platform's analytical infrastructure, including RBAC, managed-access schemas, dynamic data masking, secure views, and cross-database grants that make platform data trustworthy without creating operational bottlenecks.
  • Automate toil and unlock self-service: Identify recurring support patterns — access provisioning, data pipeline failures, service health management, secrets management — and build the automation and tooling to make them self-service for platform users, eliminating manual admin work.
  • Improve observability and incident response: Build telemetry, alerting, and log infrastructure so platform teams and application owners can diagnose and resolve issues independently. Establish runbooks and operational patterns that reduce blast radius and recovery time.
  • Support platform operations: Participate in on-call coverage, triage production incidents across platform services and the applications that run on them, and execute platform-level maintenance with care for the engineers and workflows that depend on the platform.
  • Contribute to the emerging platform roadmap: Help design and build next-generation platform capabilities — semantic layer infrastructure, agentic application patterns, and AI-native data tooling — as the platform grows to support Affirm's most ambitious data use cases.
  • Raise the engineering bar: Set and hold high standards in code review, design, operational readiness, and incident follow-through. Help establish patterns that other contributors can follow and build on.
What We Look For
  • Analytical Data Platform Depth: Hands-on experience operating a cloud analytical data platform (e.g., Snowflake, Databricks, BigQuery, or similar), including access control design, data masking and governance, compute management, and cost optimization. You're comfortable operating with elevated privileges and understand the governance and blast-radius implications of each action.
  • Container and Deployment Expertise: Experience building and operating containerized applications — Docker image management, CI/CD pipeline design (Buildkite, GitHub Actions, or similar), deployment automation, and rollout practices for production services.
  • Platform and Developer Tooling: Experience building internal platforms, developer tooling, or self-service infrastructure that makes other engineers more productive. You design for the developer experience end-to-end, not just the happy path.
  • Integrations and Networking: Comfort building integrations between systems — REST APIs, OAuth/OIDC, webhook ingestion, secrets management, egress networking configuration, and identity/SSO patterns in a managed cloud environment.
  • Backend Engineering Fundamentals: Proficiency in Python and SQL for building reliable, maintainable platform services. You write code that your teammates can own, not just code that works today.
  • Operational Ownership: Strong operational instincts — you instrument your systems, write runbooks, own your alerts, and treat on-call burden as a design constraint from day one. You close the loop on incidents with root cause analysis and durable fixes.
  • Agentic and AI-Ready Data Tools: Familiarity with or interest in semantic layer design, LLM-integrated platform workflows, and agentic data tools. Curiosity about where data infrastructure and AI tooling intersect matters here.
  • Communication and Collaboration: Strong written and verbal communication. You're effective working across application teams, security, infrastructure, and platform users to scope, prioritize, and deliver — especially when requirements are ambiguous.
  • This position requires either equivalent practical experience or a Bachelor's degree in a related field.
 

Pay Grade - N
Equity Grade - 9
Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills.
Base pay is part of a total compensation package that may include equity rewards, monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents.)

USA base pay range (CA, WA, NY, NJ, CT) per year: $195,000 - 255,000

USA base pay range (all other U.S. states) per year: $173,000-233,000
#LI-Remote

Remote-first with flexibility built in
Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience.

Benefits designed for you
Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights:

  • Health coverage at no cost: We cover 100% of premiums for employees and their dependents.
  • Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you.
  • Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to.
  • Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount.

We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help.

For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law.

By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Skills Required

  • Hands-on experience operating a cloud analytical data platform (Snowflake, Databricks, BigQuery, or similar) including access control, data masking, governance, and cost optimization.
  • Experience building and operating containerized applications, Docker image management, and CI/CD pipeline design (Buildkite, GitHub Actions, or similar).
  • Experience building internal platforms, developer tooling, or self-service infrastructure focused on developer experience.
  • Experience integrating systems via REST APIs, OAuth/OIDC, webhook ingestion, secrets management, and identity/SSO patterns.
  • Proficiency in Python for backend services and SQL for analytical workflows.
  • Strong operational ownership: instrumentation, runbooks, alert ownership, on-call participation, incident RCA, and durable fixes.
  • Ability to design secure data access patterns: RBAC, managed-access schemas, dynamic data masking, secure views, and cross-database grants.
  • Strong written and verbal communication and collaboration across application teams, security, infrastructure, and platform users.
  • Bachelor's degree in a related field or equivalent practical experience.
  • Familiarity with semantic layer design, LLM-integrated workflows, or agentic data tools.

What the Team is Saying

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Affirm Compensation & Benefits Highlights

  • Affordable Benefits Zero-premium healthcare for employees and dependents is highlighted, with the benefits portal showing $0 payroll contributions and company-paid premiums for medical, dental, and vision in 2026. Transparent plan-cost displays further underscore the low out-of-pocket burden.
  • Leave & Time Off Breadth A wide mix is outlined, including Flexible Time Off for exempt employees, 20 accrued vacation days for non-exempt employees, Health Days, Bereavement, Life Happens leave, jury duty, and company-wide Away Days to reduce distractions. These programs collectively point to generous paid time provisions beyond standard PTO.
  • Wellbeing & Lifestyle Benefits No‑cost mental health support is offered via Lyra, and Forma-administered wallets provide substantial monthly stipends (e.g., Lifestyle and Tech) along with a S.A.F.E. family‑building wallet with a $20,000 lifetime maximum. This combination indicates strong support for everyday wellness and major life events.

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The Company
HQ: San Francisco , CA
2,200 Employees
Year Founded: 2012

What We Do

At Affirm, we help people say yes to the things that matter with flexible, transparent ways to pay over time. No hidden fees, no compound interest, and no fine print—just a smarter way to spend.

Why Work With Us

Who is an Affirmer? /noun/ Someone who believes finance shouldn’t be complicated. We come from a diverse set of backgrounds and we’re driven by the desire to improve lives through honest financial products. We define success by challenging one another to bring our best ideas to every single project—and we have fun while doing it.

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Affirm Offices

Remote Workspace

Employees work remotely.

Affirm is a remote-first company! Our employees can work anywhere in the U.S. but if an office is more your style, we have office locations in San Francisco, Chicago, New York City, and Pittsburgh.

Typical time on-site:
HQSan Francisco, CA
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United Kingdom
Chicago, IL
New York, NY
Toronto, ON
Warsaw, PL
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