Top Tech Jobs & Startup Jobs in Mumbai

Designs comprehensive test strategies, builds scalable automation frameworks, integrates testing into CI/CD pipelines, and uses generative AI and LLMs to improve test coverage and efficiency. The role includes API, UI, integration, and end-to-end testing; defect investigation; reducing flaky tests; supporting release qualification; driving shift-left quality practices; and collaborating with Engineering, Product, and DevOps teams to prevent customer-reported issues.

Designs and executes comprehensive QA strategies, builds scalable automated test frameworks, expands regression coverage, and integrates testing into CI/CD pipelines. Uses Generative AI, LLMs, and AI-powered tools for test generation, defect detection, and QA efficiency. Troubleshoots defects, reduces flaky tests, supports release qualification, drives shift-left testing, analyzes production issues, and collaborates with Engineering, Product, and DevOps teams.

Build and operate scalable backend and distributed systems in cloud environments. Own software problems from design through deployment, improve architecture, reliability, automation, and observability, and contribute to engineering excellence and mentorship. The role involves microservices, API gateways, event streaming, container orchestration, DevOps, CI/CD, and debugging production systems. Bonus experience includes agentic AI applications, LLM frameworks, MCP servers, and startup product development.

Hunts, develops, and closes net-new commercial business in India. Builds executive and technical relationships, sells complex multi-product cybersecurity solutions, manages full sales cycles, coordinates sales engineers, product specialists, partners, and marketing, develops account strategies, delivers portfolio presentations, maintains Salesforce pipeline accuracy, and consistently achieves quota.

Design, build, evaluate, and deploy production-grade autonomous and multi-agent AI systems for cybersecurity detection and response. Develop LLM orchestration, tool use, memory, planning, RAG, evaluation, observability, and failure-recovery capabilities. Optimize agents for accuracy, latency, cost, reliability, and scalability while partnering with security researchers, platform engineers, and product teams to automate security workflows.

Design, train, fine-tune, evaluate, and deploy production machine learning models for cybersecurity detection. Build efficient transformer and LLM systems optimized for latency, throughput, memory, cost, and reliability. Develop scalable inference infrastructure, data pipelines, and labeling workflows; collaborate with security researchers and product teams; monitor production models and improve detection quality and robustness.

The Principal eBPF Developer designs and optimizes eBPF programs for networking, observability, and security, guiding best practices in Linux systems programming and collaborating with cross-functional teams.

Drive enterprise account growth as a Named Account Manager by building C-level relationships, executing solution-selling strategies, coordinating with sales engineering and channel teams, delivering demos and POCs, penetrating net-new accounts, expanding within existing customers, and consistently exceeding sales quotas.

Build, deploy, scale, and operate highly available distributed systems across regions. Maintain Kubernetes infrastructure, Helm charts, CI/CD pipelines, and automation. Implement observability, alerting, incident response, and runbooks. Troubleshoot production issues, perform root cause analysis, and collaborate with development teams to ensure production readiness and scalability.

The Senior Sales Specialist will drive growth in Data Security, partner with sales teams, build customer relationships, and lead sales cycles in Strategic and Enterprise accounts.