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Fynd is a frontier technology company. We started at the intersection of technology and retail because that is where technology was the least available. Over the years, we became one of Indias largest retail technology platforms. But retail was the entry point, not the boundary. Today, Fynd builds intelligent software that runs business operations. Not tools that help people work faster, but systems that absorb entire functions: manufacturing, marketing, logistics, commerce, quality control. We sit inside our customers businesses, harvest deep domain context, and build AI systems that operate autonomously. We are expanding from retail into manufacturing, generative media, physical AI, and healthcare. What You'll Do Be a subject matter expert of product Document troubleshooting and problem resolution steps including building an AI-searchable knowledge base so common issues can be resolved faster (by humans or bots) Monitor alerting channels, analyze problems, diagnose and do occasional code fixes with low to medium complexity Use AI copilots/LLM tools (e.g. Claude, ChatGPT) to speed up log analysis, root-cause investigation, and drafting fixes Taking ownership of technical issues and working closely with developers to resolve more complicated problems Work closely with product and developers to enhance the quality of existing products Advocate internally for customer needsbe the technical voice of the customer Resolve escalated customer complaints without the need for team lead intervention Address urgent issues quickly, work within and measure against customer SLAs Train and coach customers to a successful onboarding process and ongoing usage Automate scripts/tasks for reporting and maintenance; build anomaly detectors and alerting wherever applicable including exploring AI/ML-based anomaly detection for proactive issue identification Experiment with and help implement AI-assisted support workflows (auto-triage, ticket summarisation, suggested responses) to reduce resolution time Develop smaller complexity features/enhancements in existing products Perform in-depth research and identify sources of production issues surrounding the application Work closely with business in managing day-to-day issues, and resolve user queries Perform daily health checks of the application, job schedules and infrastructure supporting the application Develop and facilitate monitoring systems to identify issues before they happen Work backward with the Product team to improve the product as per feedback/issues and flag opportunities where AI could improve product usability, support, or internal ops Some specific Requirements: 1+ yr of experience as Product Support Engineer Experience in providing support for ETL or data warehousing is preferred Good understanding of Unix and Databases concepts Experience working with SQL and No-SQL databases and writing simple queries to debug issues Being able to creatively come up with solutions for various problems and implement them Experience working with REST APIs and debugging requests/responses using tools like Postman Quick troubleshooting and diagnosing skills Knowledge of customer success processes Experience in document creation High availability for fast response to customers Language knowledge required in one of NodeJs, Python, Java Hands-on familiarity with AI/LLM tools for productivity prompting effectively for debugging, documentation, or code review is a strong plus Basic understanding of how AI/ML models work (e.g. what makes a good anomaly detector, how LLM-based chatbots handle intent) is a bonus, even without hands-on ML experience Background in AWS, Docker, Kubernetes, Networking an advantage Experience in SAAS B2B software companies an advantage Ability to join the dots around multiple events occurring concurrently and spot patterns Growth At Fynd, growth is limitless. We nurture a culture that encourages innovation, embraces challenges, and supports continuous learning. As we expand into new product lines and global markets, were seeking talented individuals eager to grow with us. We believe in empowering our people to take ownership, lead with confidence, and shape their careers. Flex University: Access in-house learning sessions and workshops designed to enhance your professional and personal growth. Learning Wallet: Enrol in external courses or certifications to upskillwell reimburse the costs to support your development. Culture We believe in building strong teams and lasting connections. Regular community engagement and team-building activities Biannual events to celebrate achievements, foster collaboration, and strengthen our workplace culture Wellness Your well-being is our priority. Comprehensive Mediclaim policy for you, your spouse, children, and parents Work Environment We thrive on collaboration and creativity. Our teams work from the office five days a week to encourage open communication, teamwork, and innovation. Join us to be .
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.