Top Tech Jobs & Startup Jobs

Develop and maintain full-stack web applications, lead technical planning, mentor junior engineers, and optimize application performance within a collaborative team environment.

Manage engineering teams, focusing on recruitment, training, project management, and technical decision support while promoting a strong engineering culture.

The Senior Software Engineer will design, develop, and operate APIs, improve services, manage middleware, and support system operations as part of a collaborative engineering culture. Responsibilities include performance tuning, architecture design, and leading software development processes.

Design, develop, and operate APIs; improve services based on user behavior; collaborate on development tasks; ensure system operation and performance.

Lead and develop engineering managers across multiple teams, own org design and multi-quarter engineering strategy, ensure delivery/operational health, drive resourcing and budget decisions, represent engineering in senior cross-functional forums, and build a leadership pipeline for a large-scale consumer product organization.

Lead quality engineering across mobile, web, API and backend systems by defining test strategies, building scalable automation frameworks, applying AI-powered testing, driving functional and non-functional tests, strengthening CI/CD quality gates, analyzing metrics, mentoring teams, and improving QA processes throughout the product lifecycle.

Lead design, build, and operate Mercari’s observability platform (metrics, logs, traces, alerting). Drive improvements in MTTD/MTTM, create self-service tooling, define SLO/SLI standards, build AI-assisted detection/response, automate operational workflows, and mentor engineers to improve reliability and developer experience.

Lead India IT operations for Mercari Bangalore: manage service desk, onboarding/offboarding, device and access management, design operational processes, receive knowledge transfer from Japan, document procedures, and drive automation and improvements.

Design, implement, deploy, and maintain large-scale recommendation and ML systems. Perform data analysis, experimentation (A/B testing), collaborate with product teams, monitor production systems, and apply MLOps practices using cloud and Kubernetes.