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Docyt is hiring an engineer to own customer escalation work from problem understanding to production closure. You will work across backend (Ruby on Rails, Java Spring Boot) and frontend (React/TypeScript) with data stores like PostgreSQL, MongoDB, Redis, and messaging with RabbitMQ.
The role requires collaboration across time zones and delivering changes through CI/CD pipelines. You'll join a fast-moving team that ships in production and documents outcomes with Loom walkthroughs for product
Docyt (pronounced "docket") builds an AI-native ERP for hotels, restaurants, retail, and franchises. One platform runs accounting, payments, and business intelligence on one ledger. Bookkeeping happens every day, so month-end becomes a review.
Docyt has processed more than $1.3 billion in invoice volume and connects with 30+ POS and PMS systems. The platform is SOC 2 Type 2 certified.
Docyt is venture funded and headquartered in Mountain View, California. This role is in our Noida Sector 62 office.
You take a piece of work all the way: understand the customer's problem, find the root cause, build the fix, prove it works, ship it, and confirm it is fixed in production. This is not a ticket-in, pull-request-out job. The engineer who does this well here investigates before coding, tests their own work on our QA environment, records a short Loom walkthrough so product can accept without a meeting, and stays with the change through staging and deploy until the customer's issue is closed. That is the bar.
Read the support escalation, reproduce it on QA, and trace the root cause in code and in production data. Say clearly whether it is a product defect, a data gap, or working as designed, and bring the evidence.
In Java (Spring Boot) or Ruby on Rails, with tests. A React change when the fix needs one.
Open the pull request, answer review comments, keep CI green.
The main user flow plus the edge cases from the ticket. Screenshots and the resulting database state go on the ticket.
Before and after, in under five minutes. Product accepts from the recording.
Take the change through staging to production, watch the deploy, verify it in production, and update the original support ticket.
Customer escalations and product features across accounts payable and bill pay, month-end close, AI transaction categorization, financial reporting and ledger migration. Some weeks it is a two-line fix with a long investigation behind it. Some weeks it is a new feature from a product spec to a working screen.
BACKEND: Ruby on Rails, Java 17 / Spring Boot
FRONT END: React, TypeScript
DATA: PostgreSQL, MongoDB, Redis, RabbitMQ
DELIVERY: Bitbucket, CircleCI, Jenkins, Kubernetes
AI TOOLING: Claude Code, daily
TRACKING: Jira, Loom, Slack
We move fast, and you will ship from your first week. A senior engineer reviews your work and helps you learn the codebase. Within your first month, you take a customer issue from start to finish.