Pre-screened and vetted in the Bangalore Metro.
Senior Unity Game Developer specializing in multiplayer mobile games
Mid-level Automotive Firmware Test Engineer specializing in ECU validation and AUTOSAR diagnostics
Entry Software Engineer specializing in React Native and full-stack web development
Mid-level Frontend Engineer specializing in enterprise UI and micro frontends
Mid-level Software Developer & Data Engineer specializing in cloud microservices and ETL
Mid-level Full-Stack Software Engineer specializing in cloud and scalable web apps
Senior Software Engineer specializing in FinTech backend systems
Junior Backend Software Engineer specializing in microservices and distributed systems
Junior Backend Engineer specializing in distributed systems and platform reliability
Mid-Level Software Development Engineer specializing in cloud platforms, IAM, and secure GenAI
Senior Product & Program Management leader specializing in AI/ML and digital transformation
Mid-level Frontend Engineer specializing in React web applications
Mid-level Full-Stack Engineer specializing in React, Spring Boot, and cloud microservices
“Software engineer with hands-on experience building data-intensive and 3D-processing web applications (React/Next.js/TypeScript + Node.js). Has worked in microservices using RabbitMQ for event-driven workflows and built an internal ops/engineering dashboard to monitor pipeline jobs, surface logs, and manage retries—improving visibility and reducing on-call/debug time.”
Senior Full-Stack & AI Engineer specializing in scalable web platforms and LLM automation
“Built a production agentic AI assistant in Python using Playwright plus Google Gemini’s vision capabilities to automatically document and execute UI workflows step-by-step, reducing developer time spent on trivial documentation/knowledge transfer. Also built an Apache Airflow ETL pipeline and has experience evaluating AI agents with human-in-the-loop methods, plus successfully communicated a vision-model-based CMS analytics PoC to non-technical university stakeholders and proposed it to Academic Technology with cost-savings rationale.”
Senior Full-Stack Engineer specializing in enterprise digital transformation
“Full-stack web developer with experience building sophisticated browser applications in three very different domains: e-commerce for agents/farmers, AI-assisted medical imaging for Alzheimer's detection, and factory shopfloor management. Particularly notable for owning a complex manufacturing UI with real-time data, dashboards, alerts, and a microservices/event-driven architecture approach.”
Entry-Level Backend Engineer specializing in analytics automation and cloud data pipelines
“Forward Deployment Engineer focused on application security and production integrations, with hands-on experience hardening API-driven ticketing systems (JWT/RBAC/rate limiting/log redaction) and implementing CI/CD security controls (Bandit SAST, SCA, container hardening). Strong in diagnosing peak-load production issues using logs/metrics/infra signals and driving durable fixes like adaptive throttling and backoff, while aligning engineering, business, and leadership stakeholders on risk and SLA impact.”
Junior Backend Software Engineer specializing in scalable APIs and cloud systems
“Full-stack product engineer focused on data-heavy dashboard applications, with hands-on ownership from React/TypeScript UI through Node/Express APIs to Postgres schema design and optimization. Stands out for combining product sense with engineering rigor: improving onboarding and reporting flows using analytics and user feedback, while also building reusable upload infrastructure and safe multi-tenant configurable experiences.”
Senior Frontend Engineer specializing in real-time data and AI-powered interfaces
“Frontend-leaning product engineer who repeatedly operates across the stack, from React/TypeScript architecture to backend eventing, caching, and real-time systems. They describe measurable wins in high-scale operational products—cutting invoice download time by ~99%, stabilizing 100k+ daily-query dashboards to 200ms, and building internal platform tooling including an AI infrastructure agent adopted by 50+ engineers.”