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 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
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—balancing technical scope with MVP delivery
- Expertise with message queues, background jobs, and distributed system patterns
- Familiarity with observability tools (e.g., GCP Logging, Prometheus, NewRelic)
- Demonstrated ability to leverage AI tools (e.g., code generation, debugging, automation) and stay current with emerging AI trends
Nice to Have
- Experience with LLM architecture, pipelines, or applied AI tooling is a strong bonus
- 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
Benefits
- Your backend engineering work directly impacts millions of users
- Opportunity to push the boundaries of what's possible with LLMs and agents
- Career growth in the AI-native future
- Driven by a shared mission: to help customers unlock their full revenue potential
- Extreme ownership of work, move with focus and urgency, and learn voraciously
- Investment in your growth with resources, support, and autonomy
- Collaboration across departments with team support
- Encouragement of bold ideas and courageous action
- Freedom to experiment, take smart risks, and drive big wins
Team
Structure: Cross-functional teams
Additional Information
- Must answer five screening questions in application: (1) Describe the most complex distributed system you’ve designed or scaled; (2) Have you built or worked on an event-driven workflow or automation system; (3) How have you used AI tools in your engineering workflow; (4) Why Apollo.io; (5) Are you open to overlap with US hours for cross-team collaboration?
- Availability required: Monday to Thursday 08:00 PM to 11:30 PM IST for cross-team collaboration
- LinkedIn Profile Link required in application
