Associate Product Engineer
Docyt
Associate Product Engineer
Docyt
AI-powered SaaS for automated SMB accounting
Docyt · Noida, India · Full-time · Posted 2026-11-05
Workplace: on_site
Department: Engineering
About Docyt
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.
The Role
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.
What End-to-End Means Here
01 Understand the problem.
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.
02 Build the fix.
In Java (Spring Boot) or Ruby on Rails, with tests. A React change when the fix needs one.
03 Get it reviewed.
Open the pull request, answer review comments, keep CI green.
04 Test it yourself on QA.
The main user flow plus the edge cases from the ticket. Screenshots and the resulting database state go on the ticket.
05 Record a Loom for acceptance.
Before and after, in under five minutes. Product accepts from the recording.
06 Ship it and close the loop.
Take the change through staging to production, watch the deploy, verify it in production, and update the original support ticket.
What You Will Work On
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
How We Support You
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.
Nice to Have
How to Apply
When you apply, include a link to a project you shipped. A short Loom walkthrough of it is a plus.
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Docyt provides AI-powered accounting automation for SMBs, franchises, and accounting firms via a SaaS platform that automates bookkeeping tasks such as bill payments, expense management, revenue reconciliation, and month-end close. It pulls data from bank feeds, POS systems, and payroll, while allowing users to upload bills and receipts; its HpAI engine combines large language models with proprietary accounting agents to categorize transactions, reconcile accounts, and detect anomalies as a copilot for accountants. The product offers real-time financial reporting, multi-entity management, and hospitality-focused metrics, supported by broad integrations to reduce manual review and boost firm capacity. Docyt’s goal is to cut manual effort, lower operating costs, and provide real-time financial health insights to enable faster decisions and scalable accounting operations.
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