Full Stack Developer (Backend)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 19h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 182d ago
The date the source published, not the day we noticed it (2026-03-16). Last seen at its source 1h ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Delhi
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $6,750–7,250/mo
Middle 50% of 9 listings that do state pay — Engineering · all levels · India · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
ashby employer's own board first seen 11d ago · last seen 1h ago
The listing
RevenueBase:
We're building the data infrastructure that makes AI agents trustworthy instead of error-prone.
We provide continuously refreshed, verified B2B data for autonomous AI agents and GTM workflows.
We've tripled growth while maintaining 100% gross dollar retention and staying cashflow positive.
We power AI agents for Clay, Orbital, Dun & Bradstreet, and the next generation of AI GTM tools.
Why We're Hiring This Role:
Our product and platform are scaling rapidly, and we need experienced backend engineers who can ship reliably, own services end-to-end, and maintain high performance as our data infrastructure grows.
This role exists to strengthen our backend systems, APIs, and cloud infrastructure — ensuring our platform remains fast, scalable, and dependable under increasing data volume and customer demand.
You’ll work on systems that customers rely on in production — where backend performance, data integrity, and reliability directly impact retention and growth.
What You'll Do
Design, build, and maintain scalable backend services using Python and FastAPI.
Develop and optimize high-performance RESTful APIs powering AI agents and GTM workflows.
Architect and maintain cloud-native infrastructure (compute, storage, networking).
Build reliable data pipelines and services that process, validate, and serve large B2B datasets.
Ensure system scalability, observability, and fault tolerance.
Own backend features end-to-end — from design and implementation to deployment and monitoring.
Collaborate closely with frontend and data engineers to ensure clean API contracts and reliable data flow.
Contribute to architectural decisions, code reviews, and engineering best practices.
Continuously improve performance, security, and maintainability across backend systems.
Who You Are
4+ years of professional backend development experience.
Strong proficiency in Python.
Hands-on experience with:
FastAPI
RESTful API design and implementation
Relational databases (PostgreSQL or similar) and NoSQL Databases (DynamoDB or similar)
Asynchronous programming
Cloud platforms (AWS, GCP, or Azure)
Experience with containerization and deployment (Docker).
Solid understanding of distributed systems concepts (caching, queues, background jobs).
Comfortable designing scalable systems and optimizing for performance.
Familiar with authentication, authorization, and API security best practices.
Experience working in a fast-moving, remote-first environment.
You take ownership, communicate clearly, and ship production-quality systems.
You care about performance, reliability, and long-term maintainability.
Why RevenueBase:
Product with real traction: Customers rely on our platform in production.
High ownership: Small team where your work directly shapes the product.
Engineering-driven culture: Quality and correctness matter.
Growth stage company: Clear product-market fit and momentum.
Impact over process: Less bureaucracy, more building.
What We Offer:
Competitive compensation based on experience.
Meaningful ownership and long-term growth opportunities.
Flexible working hours.
Fully remote-friendly team.
Direct collaboration with founders and core engineering leadership.