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Software Engineer

Netflix - 1d ago

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Senior Software Engineer

Reddit - 4d ago

Senior Software Engineer II, Flywheel Foundations

AI Summary ✨

Requirements

  • Strong track record shipping production backend systems as a senior engineer, with ownership from design through operation.
  • Professional experience building maintainable, scalable backend services (Java preferred).
  • Strong data background and experience working with large datasets, data pipelines, and data-intensive systems.
  • Experience building or integrating AI/ML-adjacent systems in production (e.g., retrieval pipelines, embeddings, ranking systems, model-backed services, or similar).
  • Experience operating systems at scale, including performance optimization and reliability considerations.
  • Strong engineering fundamentals: system design, testing, debugging, observability, and operational excellence.
  • Product mindset - comfortable collaborating cross-functionally and building platform capabilities used by other engineering teams.

Nice to Have

  • Experience with search, retrieval, ranking, or relevance systems.
  • Familiarity with RAG architectures, vector search, or hybrid retrieval approaches.
  • Experience with streaming technologies or event-driven architectures.
  • Cloud-native development experience (e.g., Kubernetes, AWS/GCP).
  • Some frontend experience or willingness to contribute across the stack when needed.
  • Python experience.

What You'll Be Doing

  • Design, build, and operate backend services that power context retrieval, enrichment, and insight generation across HubSpot’s platform.
  • Build systems for storing, processing, and retrieving high-volume GTM data (e.g., contact history, CRM activity, behavioral signals).
  • Develop scalable data processing and streaming solutions to support AI-driven use cases.
  • Create reusable platform capabilities and APIs that enable other product teams to build smarter AI assistants and agents.
  • Contribute to evaluation and quality frameworks to ensure context accuracy, reliability, and performance.
  • Collaborate closely with platform teams and downstream product engineering teams to integrate capabilities into real customer experiences.
  • Own end-to-end delivery: architecture, implementation, observability, performance, and iteration in production environments.

Perks and Benefits

AI systems are only as good as the context they can access. This team is responsible for unlocking HubSpot’s greatest competitive advantage: the depth and richness of customer data across the platform.

Your work will directly impact how intelligent and reliable HubSpot’s AI agents become and enabling a true 360° understanding of customers and accelerate AI innovation across Flywheel.

Apply here
HubSpot logo

HubSpot

Dublin, Ireland

Experience: Senior
Posted: February 26, 2026
Aws
Gcp
Golang
Java
Kubernetes
Python
backend

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