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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer, Backend (Lake Analytics Platform) - **Company:** Affirm - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $195,000.0 - $255,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Big Data, BigQuery, Code Review, Databases, Continuous Integration, Data Infrastructure, Data Masking, Data Security, Programming Tools, Github, Image Management, Python (Programming Language), Key Management, Online Analytical Processing, OAuth, Online Transaction Processing, OpenID, Role-Based Access Control, Runbook, SQL Databases, Systems Integration, Large Language Models, Snowflake, Backend, Data Layers, Deployment Automation, Data Management, Dynamic Data, Restful APIs, Data Pipelines, Docker, Databricks, Web Api - **Published:** August 18, 2026 - **Apply:** https://job-boards.greenhouse.io/affirm/jobs/7799631003 ## About the Role * 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. ## Description 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., * 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., To help us assess our outreach efforts, we invite candidates to voluntarily share information through a short demographic survey. This information is: * Completely optional * Anonymized and stored in aggregate * Not accessible to recruiters or hiring managers at the individual level * Never used in any hiring decision Your decision to provide or withhold this information will not impact your candidacy in any way. How do you identify? (gender identity) Select... How do you identify? (race/ethnicity) Select... Voluntary Self-Identification For government reporting purposes, we ask candidates to respond to the below self-identification survey. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file. As set forth in Affirm's Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law. Gender Select... Are you Hispanic/Latino? Select... Race & Ethnicity Definitions If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection. As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measure the effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categories is as follows: A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability. A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service. An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense. An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985. 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