Staff Backend Engineer
5 days ago
As a Staff Software Engineer at Apollo, you'll be responsible for leading the technical direction and execution of complex, high-impact initiatives that span teams and systems. Your influence will extend beyond your immediate team—shaping architectural decisions, elevating engineering practices, and mentoring future leaders.
Responsibilities:
- Architect and build scalable, high-availability systems that run 24/7 and support mission-critical workflows
- Own and deliver multi-tier, high-volume applications with performance, accessibility, and resilience in mind
- Write high-quality, maintainable code with a strong focus on developer experience and system performance
- Drive and uphold engineering best practices, including code reviews, test coverage, monitoring, and observability
- Provide technical leadership across cross-functional teams, guiding architecture, trade-offs, and execution
- Mentor and sponsor engineers to grow their impact and deepen the engineering culture
- Lead large-scale, cross-team projects from concept to production
- Deliver clear, objective feedback to peers and junior engineers through structured reviews and 1:1s
Outcomes You'll Drive:
- Customer Impact: Deep understanding of product metrics and direct contribution to measurable improvements through agile iteration
- Technical Leadership: Lead complex projects, own key systems, and define roadmaps in collaboration with managers and PMs
- Velocity: Demonstrate consistent output and high impact—even within challenging, legacy, or high-complexity codebases
- Engineering Quality: Set the standard for code quality and technical excellence on your team
- Cross-Team Communication: Achieve alignment across squads and stakeholders through effective communication
- Platform Resilience: Build scalable, monitored, and self-healing systems with best-in-class availability
Requirements:
- 10 years of deep experience building and scaling backend systems in production environments
- Proven ability to develop features with performance, reliability, and scalability in mind
- Strong product intuition—able to balance technical scope with MVP delivery
- Expertise with message queues, background jobs, and distributed system patterns
- Familiarity with observability tools like GCP Logging, Prometheus, or NewRelic
- Demonstrated ability to leverage AI tools (e.g., for code generation, debugging, automation) and stay current with emerging AI trends
- Experience with LLM architecture, pipelines, or applied AI tooling is a strong bonus
Nice to Have:
- Bachelor's degree in Computer Science or related field (or equivalent experience)
- Proficiency in one or more general-purpose programming languages (e.g., Java, Python, Ruby, Go)
- Experience integrating with third-party APIs—including handling rate limits, failure cases, and retries gracefully
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