Senior Software Engineer focusing on building, operating, and extending systems for Affirm's data infrastructure. Responsible for core platform reliability and data access across teams.
Responsibilities
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
Develop integrations: Build and maintain integrations between the platform and internal systems
Strengthen data access and governance: Design and operate secure data access patterns across the platform's analytical infrastructure
Automate toil and unlock self-service: Identify recurring support patterns and build the automation and tooling to make them self-service
Improve observability and incident response: Build telemetry, alerting, and log infrastructure for diagnosing and resolving issues
Support platform operations: Participate in on-call coverage, triage production incidents across platform services
Contribute to the emerging platform roadmap: Help design and build next-generation platform capabilities
Raise the engineering bar: Set and hold high standards in code review, design, operational readiness
Requirements
Analytical Data Platform Depth: Hands-on experience operating a cloud analytical data platform (e.g., Snowflake, Databricks, BigQuery, or similar)
Container and Deployment Expertise: Experience building and operating containerized applications — Docker image management, CI/CD pipeline design (Buildkite, GitHub Actions, or similar)
Platform and Developer Tooling: Experience building internal platforms, developer tooling, or self-service infrastructure that makes other engineers more productive
Integrations and Networking: Comfort building integrations between systems — REST APIs, OAuth/OIDC, webhook ingestion, secrets management
Backend Engineering Fundamentals: Proficiency in Python and SQL for building reliable, maintainable platform services
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
Agentic and AI-Ready Data Tools: Familiarity with or interest in semantic layer design, LLM-integrated platform workflows
Communication and Collaboration: Strong written and verbal communication to work across teams
Benefits
Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents
Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses
Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge
ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount
Senior Backend Engineer guiding the design and development of a unified data collection platform for GitLab. Building and maintaining systems to provide insights into customer usage patterns across GitLab's services.
Data & Analytics Engineer at Prophix building a data platform on Snowflake. Collaborating with finance teams and engineering data architectures for analytics and AI capabilities.
Analytics Engineer for Narvar focused on building data infrastructure and enabling internal analytics. Collaborating with stakeholders to deliver metrics, models, and self - serve analytics solutions.
Analytics Engineer developing data environments using modern technologies for clients at Cuesta Partners. Collaborating on solutions and supporting data - driven business decisions.
Lead Analytics Engineer leading technical initiatives in a financial technology company focused on AI - ready data insights. Collaborating across teams to enhance the data ecosystem while mentoring engineers.
Senior Analytics Engineer at Forward Financing designing and optimizing data architecture and models. Collaborating with cross - functional teams to deliver AI - ready data insights.
Manager of Analytics Engineering at fintech company optimizing data infrastructure for trusted AI insights. Overseeing a team to build centralized data foundation and support various business functions.
Support Engineer responsible for operational support of data analytics and cloud technologies at Sun Life Financial. Collaborate with project teams to enhance and maintain data processes.
Data & Analytics Intern/Co - op at Kinaxis modernizing data ecosystems and developing data solutions. Gain hands - on experience in data integration, engineering, modeling, and business intelligence.
Senior Analytics Engineer architecting, building, and operating secure data pipelines in AWS cloud. Leading compliance with data governance standards across analytics integrations.