Basic Qualifications:
- Partner closely with the Engineering Manager to shape backend architecture and technical strategy.
- Design and evolve scalable, cloud-native backend systems in Python.
- Own the technical design and implementation of critical backend domains.
- Drive architecture decisions that balance scalability, performance, cost, and delivery speed.
- Lead the design and implementation of GenAI pipelines, including: data ingestion and normalization, embedding generation, semantic search and retrieval, retrieval-augmented generation (RAG)
- Ensure GenAI systems are reliable, explainable, and continuously improving.
- Help define evaluation and feedback mechanisms for AI outputs.
- Set and uphold backend engineering standards.
- Lead high-quality code reviews, focusing on: correctness, maintainability, performance, security and data handling
- Mentor senior and mid-level engineers through technical guidance and reviews.
- Identify and proactively reduce technical debt.
- Ensure backend systems are observable and production-ready, including metrics, logging, and alerts.
- Lead efforts to improve reliability, scalability, and performance.
- Design systems with cost awareness, especially for GenAI workloads.
- Work with product design and engineers (PDE) partners, and support team stakeholders to deeply understand user workflows.
- Own backend services in production, including incident response and post-incident improvements.
- Document architecture, APIs, and key design decisions.
- Influence engineering practices beyond immediate team boundaries when needed.
Our Vision of You:
- 8–10+ years of backend software engineering experience.
- Deep expertise in Python for building production backend systems.
- Proven experience designing and scaling distributed systems.
- Strong system design skills, including: service decomposition, data modeling, high-availability architectures
- Experience operating large-scale, production systems in the cloud.
- Strong track record of technical leadership without direct authority.
- Extensive experience conducting code reviews and mentoring engineers.
- Ability to translate ambiguous problems into clear technical direction
- Hands-on experience with GenAI / LLM-based platforms.
- Experience with vector databases or semantic search systems.
- Experience building internal platforms or high-leverage infrastructure
Top Skills
What We Do
Outreach is the number one sales engagement platform. Using advanced machine learning and AI to automate and prioritize customer touchpoints, Outreach dramatically increases sales reps' effectiveness and ability to drive smarter, more insightful engagement with their customers. We're on a mission to make every customer-facing rep wildly productive.
Why Work With Us
We balance explosive growth with unwavering values. We believe in agility, but we don't compromise on high standards or delivering the best quality. Everyone truly wants to do the right thing. At Outreach, you are not only permitted to own your business, but expected to. If you're excited by ownership, you'll fit right in. You will never be bored.
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