Technical Integrations Specialist

Support & Integrations Engineer

Location : India (Hybrid / Remote)

Type : Full-time

We are hiring a Support & Integrations Engineer on behalf of a fast-growing SaaS company transforming how e-commerce merchants manage inventory and data.

As one of the first hires in this function, you’ll operate at the intersection of engineering and customer success — helping merchants onboard smoothly, troubleshooting real technical challenges, and building internal tools that enhance customer support efficiency. This is a hands-on, high-impact role that combines problem-solving, data understanding, and customer empathy.

Responsibilities

• Provide technical onboarding support to new customers, troubleshooting integration and data issues
• Debug API connections, data pipelines, and platform integrations (Shopify and others)
• Develop and maintain internal tools that empower the customer success team to work efficiently
• Collaborate with engineering and product teams to escalate, diagnose, and resolve complex issues
• Take ownership of recurring problems by identifying root causes and implementing proactive solutions

Requirements

Preferred Qualifications

Tech Environment

Python, FastAPI, PostgreSQL, MongoDB, QuestDB, ClickHouse, GCP, Docker, Next.Js

Tooling : GitHub, Sentry, Datadog, HubSpot, Zendesk

Why This Role Matters

You’ll play a crucial role in ensuring merchants have a seamless onboarding experience and can rely on accurate, actionable data from day one. This is an opportunity to work on both sides of the stack — customer-facing problem solving and backend debugging — while contributing directly to how the product and support systems evolve.

What’s Offered

To Apply :

Please send your CV or GitHub profile with the subject line “Support & Integrations Engineer Application – [Your Name]” to careers@pramaanlabs.com

About Us :

This role is being hired through Pramaan Labs , a machine learning and product engineering firm partnering with high-growth startups to build scalable, impactful technology across data, AI, and product domains.