Giga

Experience: 2–3 years Compensation: 20–30L INR About Us At GigaML, we’re shaping the future of conversational AI, fully automating customer support to elite levels for enterprises. Our customers trust our agents to navigate complex, real-world conversations with clarity, accuracy, and scalability. We’ve deployed AI agents that resolve over 1 million support tickets monthly for one of our early customers alone. Now working with the most recognizable names in food delivery and crypto, we are gaining significant traction as a frontrunner in this space against our biggest competitors. Why Join Us? Momentum: Be part of a team that’s achieved validation from both customers and investors Impact: Help us deliver reliable 24x7 support across time zones Growth: Gain deep exposure to production infrastructure and learn how high-velocity teams operate About the Role We’re hiring a Technical Support Engineer to handle real-time customer issues, triage production alerts, and maintain our support systems. This is a high-responsibility role where your attention to detail, responsiveness, and communication will help us deliver industry-leading support across global customers. This role requires hands-on Python coding You’ll be writing scripts, debugging, and automating workflows as part of your daily work. If you don’t have coding experience, this role will not be a fit. What You’ll Do Monitor incoming support tickets and production alerts Diagnose and triage customer issues, escalating to on-call engineers when needed Write Python scripts and automation tools to troubleshoot, monitor, and improve workflows Investigate root causes and help improve resolution documentation Own incident communication and keep customers informed with clear, timely updates Continuously improve monitoring, response workflows, and internal runbooks Partner with engineering and ops to improve system resilience and alerting quality Who You Are / Must-Haves 2–3 years of experience in technical support, systems operations, or site reliability Bachelor’s degree in Computer Science or related technical field Strong problem-solving and communication skills Hands-on Python coding experience (must-have) Cloud/infra knowledge: AWS + familiarity with Azure Comfortable with logs, monitoring dashboards, and basic API tools Ability to quickly react and fix issues when they arise Highly dependable, trustworthy, and able to manage real-time incidents independently Bonus Points Experience with Kubernetes Deep knowledge of networking/TCP/IP (we’ve had network-related issues before) Knowledge of GCP Experience with LiveKit Interview Process Screening call with recruiting lead (20 min) Intro call with CEO (15 min) Technical interview on real-world troubleshooting and support workflows (45 min) Final interview with Engineering Leadership (60 min)