Senior Backend Engineer (Infrastructure & Reliability)

What we need: Someone with 3-4 years of experience building reliable, scaled systems

who can take our infrastructure to the next level as we move to enterprise customers and

on-premise deployments.

We need someone who has owned infrastructure end-to-end - not just written code, but

managed deployments, handled production incidents, set up monitoring, and thought about

cost/reliability trade-offs.

The work:

● Design and build robust, reliable backend infrastructure that doesn't break at

enterprise scale

● Manage cloud deployments (AWS - EC2, RDS, Lambda, networking, cost

optimization)

● Set up containerized applications, connect services, manage networking

● Implement comprehensive observability: logging, alerts, monitoring (Sentry,

Cloudwatch) so we know when things break before customers do

● Build testing frameworks (unit, integration, API) and CI/CD pipelines that let us ship

fast without breaking things

● Optimize database performance: SQL queries, connection pooling, database

architecture

● Handle background job systems and queues (Celery, Redis, distributed task

management)

● Prepare for SOC2 compliance and security requirements

● Work on on-premise deployment capabilities for enterprise customers

● Reduce our fear - make it so we're not worried about systems failing when we

onboard big customers or ship new features

Who fits:

● 3-4 years backend experience building production systems at scale

● Strong AWS (or other cloud) infrastructure experience - has actually managed

infrastructure, not just used it

● Python backend skills (FastAPI/Django/Flask) - can write clean, maintainable code

● Experience with Docker, microservices, queue-based architectures, distributed

systems

● Production mindset - thinks about failure modes, monitoring, reliability, cost - not

just "does it work on my laptop"

● Ownership mentality - sees what needs fixing and just fixes it, doesn't need

hand-holding

Strong in 3-4 of these areas:

● Scaling applications: Docker, Kubernetes, EC2 utilization, horizontal scaling

● Database optimization: SQL query optimization, connection management,

PostgreSQL tuning

● Inter-service communication: WebSockets, real-time systems, API design, queues,

Redis, pub/sub, Celery

● Security: Authentication, tokens, private subnets, firewalls, API gateways

● Testing: Unit, integration, API test frameworks

● Monitoring: Celery monitoring, error tracking, logging, Sentry, CloudWatch, alerting

systems

● CI/CD: CodePipeline, CodeDeploy, GitHub Actions

Tech Stack:

Python (FastAPI), PostgreSQL, Celery, AWS (RDS, EC2, Lambda, CloudWatch,

CodePipeline), Docker, Redis, Sentry, Supabase, GitHub Actions, Next.js

What we offer:

● High ownership - you'll own infrastructure and reliability for a fast-growing AI

product

● Work directly with founders on architecture and technical decisions

● Real impact - your work directly enables us to land enterprise customers

● Meaningful equity

● Solve actual scaling/reliability challenges as we move to enterprise and on-prem

● Small team, fast-paced, high autonomy, low bureaucracy

● Bangalore-based, in-person collaboration