Senior backend engineer building secure, scalable authentication systems for Affirm’s financial products. Leading platform architecture, delivery, reliability, and engineering mentorship.
About the role
- Senior Backend Engineer building scalable backend services, data pipelines, and integrations for Apollo.io’s AI-driven go-to-market platform. Owning distributed architecture and high-throughput connections across a global engineering team.
Responsibilities
- Design and implement highly scalable backend services, data pipelines, and integration endpoints
- Gather product and engineering requirements, write design documents, and drive technical discussions
- Lead the full software development lifecycle from product requirements through architecture, development, quality assurance, and maintenance
- Build systems with monitoring, alerting, dashboards, and observability
- Communicate development progress to product leads, engineering managers, and stakeholders
- Introduce technologies and AI tools that accelerate individual and team workflows
- Navigate ambiguity and roadblocks while maintaining project momentum
- Participate in scrum ceremonies, team events, and manager 1:1s as part of a global team
- Provide and respond to technical and behavioral feedback
- Work across data platform architecture and integrations with distributed systems powering Apollo’s AI-driven internal workflows
- Organize and structure data at scale with the data engineering team
- Own the connections layer and distributed architecture linking Apollo to the broader ecosystem at high throughput
Requirements
- Minimum 5 years of industry experience in backend development, including at least 1–2 years in senior positions, developing large-scale applications
- Experience developing distributed web applications at scale
- Code that is comprehensible, well-structured, and highly performant
- Experience with database modeling (SQL or NoSQL)
- Experience using and designing RESTful services
- Strong knowledge of computer science fundamentals, including data structures, algorithms, and object-oriented design
- Proven experience leveraging AI tools for code generation, debugging, and productivity optimization
- Willingness to stay current with emerging AI technologies
- Background in fast-scaling startup or high-velocity environments
- Communication, problem solving, proactivity, teamwork, listening, creativity and innovation, organization and planning, ambiguity management, project ownership, and distributed web development
- BS or MS degree in Computer Science, Computer Engineering, or similar is nice to have
- GCP, Kubernetes, Docker, Mongo, Redis, Ruby on Rails, microservices, and machine learning are nice to have
Benefits
- Hands-on mentorship and opportunities to grow and accelerate your career
- Resources, support, and autonomy to own your role and make a real impact
- Cross-departmental collaboration and team support
- Freedom to experiment, take smart risks, and drive big wins
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