Principal Engineer
7 days ago
Confide is a high-growth startup building serious infrastructure for risk and compliance.
We're a product-led, engineering-first team solving technically complex problems in security, case management, and multi-tenant architecture. The work is meaningful, the systems are challenging, and we are growing fast.
You will be working with experienced founders, modern tools, and a small senior team that ships quickly. This is a high-performance, high-reward environment where exceptional work gets recognized and compensated accordingly.
What You'll Do
- Lead backend development across core APIs, data workflows, and integrations.
- lead backend architecture decisions, ensuring clarity, maintainability, and scalability in every release.
- Design and maintain high-performance data pipelines (ETL, event-driven, and background jobs) powering analytics, reporting, and AI-driven systems.
- Build and evolve API-driven integrations and event-based communication between modules and external systems.
- Architect data models and workflows that scale across multi-tenant, high-volume environments.
- Write secure, performant, and maintainable Python code using Django.
- Collaborate with DevOps on deployment, observability, and runtime performance.
- Improve system reliability through profiling, refactoring, and data flow optimization.
- Apply security-by-design principles to authentication, authorization, and data protection.
What We're Looking For
- 10+ years of backend development experience with deep expertise in Python.
- Strong understanding of distributed systems, API architecture, and asynchronous data processing.
- Proven ability to design and scale data pipelines, including ETL and event-driven systems.
- Experience maintaining both monolithic and microservice architectures.
- Proficient in SQL and NoSQL database design, performance tuning, and data lifecycle management, ideally including vector database experience.
- Familiarity with cloud environments (AWS preferred) and collaborating within CI/CD pipelines.
- Skilled in observability, metrics, and performance optimization for production systems.
- Deep understanding of security and encryption fundamentals for sensitive data.
- Hands-on mindset — you debug, optimize, and ship code daily.
Nice to Have
- Built or scaled SaaS platforms for enterprise or regulated data.
- Experience with streaming and messaging systems (Kafka, Redis, SQS, Celery).
- Exposure to ML/AI-driven systems, including RAG pipelines or vector search.
- Familiarity with multi-region or multi-tenant architectures.
- Contributed to shaping engineering practices through code, not management.
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