Job description
Who You Are
You're a seasoned Backend Engineer with 5+ years of experience who thrives on building
products from zero to one.
You're a technical leader who can own an entire product's backend
architecture, make architectural decisions, and mentor junior engineers.
While
backend-focused, you understand frontend concepts well enough to review code and ensure
smooth integration.
You understand that in an early-stage startup, you need to balance technical
excellence with pragmatic choices that get products to market quickly.
You're excited about
taking full ownership of backend systems while building and guiding a small engineering team.
Responsibilities
- Take complete ownership of backend architecture for one core product vertical - from
design to delivery to ongoing optimization
- Lead and mentor 2-3 junior engineers while maintaining hands-on involvement in critical
features
- Design and build robust APIs using Python (FastAPI/Django/Flask) that power our web
and mobile applications
- Build and optimize cloud infrastructure on AWS and Azure, implementing
containerization with Docker and orchestration with Kubernetes
- Set up monitoring and observability using Grafana and related tools, ensuring system
health at scale
- Integrate with third-party AI services including LLM APIs (OpenAI, Anthropic, etc.) and
voice technologies (STT/TTS)
- Establish engineering best practices including CI/CD pipelines, code reviews, and testing
strategies
- Partner directly with founders and product teams to translate business requirements into
scalable backend solutions
Qualifications Required
- 5+ years building and shipping production backend systems, with proven ability to scale
products from 0→1 and 1→10
- Strong expertise in Python backend frameworks (FastAPI/Django/Flask)
- Experience with containerization (Docker) and orchestration (Kubernetes) in production
environments
- Hands-on experience with AWS and Azure cloud platforms, including deployment and
security best practices
- Proficiency with PostgreSQL and MongoDB for complex data modelling
- Experience with monitoring tools (Grafana) and building observable systems
- Strong background in API design, microservices architecture, and distributed systems
- Proven track record of leading and mentoring junior engineers in a hands-on capacity
- Ability to make pragmatic technical decisions, balancing quality with speed of execution
Nice to Have
- Frontend knowledge of React and TypeScript for code review and cross-stack
collaboration
- Experience integrating with AI/ML APIs (OpenAI, Anthropic, Google Cloud AI, etc.)
- Experience with message queues (RabbitMQ/Kafka) and caching systems (Redis)
- Knowledge of voice technologies (Speech-to-Text/Text-to-Speech) and real-time audio
processing
Required Skill Profession
Computer Occupations