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MerchantSpring is a SaaS analytics and reporting platform that helps agencies, investors, brands, and vendors track and optimize performance across more than 120 e-commerce and marketplace channels, including Amazon, Walmart, and Shopify. Working at the intersection of software, data, and commerce, the team builds tools that help customers make sense of complex performance signals and act on them with confidence. We're seeking a Technical Support Engineer with strong analytical and problem-solving skills who enjoys digging through logs, queries, and APIs to understand exactly what is happening and why. In this role, you will handle a wide variety of tickets across from data discrepancies and marketplace integration issues to performance, UI, and reporting questions. You will sit on the frontline of the platform, helping customers navigate technical issues while contributing to a more reliable and scalable product experience. This is a great opportunity for someone who enjoys deep investigation, diagnosing problems across the full stack, and partnering with our engineering team to drive root-cause fixes into long-term solutions. Requirements Investigate and resolve customer-reported issues across the platform: frontend, backend, APIs, marketplace integrations, and data pipelines. Reproduce reported problems in a controlled environment and identify root causes through application logs, database queries, and Browser DevTools. Experience owning support tickets end-to-end: reproducing issues, identifying root cause, resolving independently when possible, and escalating with clear documentation. Triage and prioritize incoming tickets based on customer impact, business value, and urgency. Act as the bridge to engineering: when escalation is required, hand off reproducible cases with clear context, business impact, and suggested next steps to minimise developer interrupt overhead. Collaborate with product, QA, and engineering to drive permanent fixes and reduce recurring issues. Maintain and improve internal runbooks, support playbooks, and customer-facing help-centre content. Write simple scripts and SQL queries to investigate data issues and automate repetitive support tasks. Spot patterns in support data and surface product improvement opportunities to the wider team. Qualifications Bachelor’s Degree in Computer Science, Engineering, or a related field (or equivalent experience). 3 - 6 years of experience in a technical support, solutions engineering, or similar customer-facing technical role. Experience in Node.js, TypeScript, React, PostgreSQL, and MongoDB (or another database systems). Strong analytical and problem-solving skills with a natural instinct for root-cause investigation. Proficient in SQL and comfortable reading AWS CloudWatch logs to diagnose issues. Comfortable working with REST APIs (Postman/cURL) and Browser DevTools (Network and Console tabs). Excellent written and verbal communication to explain technical issues clearly to non-technical customers and to engineers. Ability to triage, prioritise, and stay calm under pressure across multiple concurrent tickets. Experience using Jira or a similar ticketing/support tool. Ability to leverage AI coding assistants to boost overall productivity like investigating issues and automating repetitive support tasks. Nice to Have Experience supporting B2B SaaS, analytics, or other data-heavy products. Familiarity with e-commerce or marketplace platforms (e.g., Amazon, Shopify, WooCommerce) and concepts such as orders, products, and categories. Power user of AI tools like Claude, Cursor, or similar to accelerate investigation and documentation. Benefits Build our support function from the ground up: you won’t inherit a playbook, you’ll write it. Define the tooling, processes, SLAs, and standards that will guide the team as we scale. A clear path to own and grow the department. Start as the technical anchor for support, and grow into the leader who shapes hiring, structure, and strategy as the team expands with you. Create impact role at the intersection of product, customers, and engineering. Your work directly shapes product quality and the customer experience. Work with a modern tech stack and cloud-native architecture across a global, fast-moving team. Grow technically and professionally, own the customer experience end-to-end and have visible influence on the product roadmap.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.