1 день назад
Backend Engineer (Python/Django)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Backend Engineer (Python/Django): Building and operating backend services that keep work state synchronized across cloud, self-hosted, and isolated deployments with an accent on API design, data modeling, real-time event streams, and query performance. Focus on designing reliable systems for machine-speed AI agent actions, debugging production issues on inaccessible infrastructure, and maintaining observability across regulated environments.
Location: North America
Company
builds an open work management platform for cloud, self-hosted, and isolated deployments, with infrastructure designed for organizations and AI agents to work together.
What you will do
- Own backend surfaces end to end, from API contracts and data models through migrations and production rollout.
- Extend real-time synchronization through event streams, change data capture, and caching.
- Measure and improve query performance using query plans, indexes, and connection pooling.
- Instrument services so production degradation is visible in dashboards and participate in incident response.
- Collaborate with product and frontend engineers across San Francisco and Hyderabad, as well as open-source contributors.
- Debug issues that cannot be reproduced on hardware and networks outside the company's access.
Requirements
- Production Python experience with a shipped project that can be discussed in detail.
- Django or a comparable framework, including models, migrations, and request handling.
- Strong SQL skills beyond ORM usage, including query analysis and index design.
- Production debugging experience and the ability to explain changes made after an incident.
- Clear written communication for public issue discussions and collaboration with distributed engineering teams.
Nice to have
- Contributions to or another open-source project used by others.
- Experience with event streams or message queues such as RabbitMQ or Kafka.
- Understanding of containers, versioned migrations, and deployments to customer-managed infrastructure.
- Experience shipping software to regulated or isolated environments, including banking, defense, healthcare, or air-gapped systems.
- Experience building systems where AI agents act on real data with explicit state, permissions, and audit trails.
Culture & Benefits
- Work on a product used by organizations ranging from startups to Fortune 500 companies.
- Ship to cloud, customer-managed clouds, self-hosted clusters, and machines without internet access.
- Participate in open development where issues, fixes, and roadmap discussions are visible to the community.
- Own problems end to end in tightly connected teams working across San Francisco and Hyderabad.
- Build infrastructure for production use by both humans and AI agents.
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