Top Tech Jobs & Startup Jobs

Lead large-scale technology programs and PMOs, managing 200–500 onshore/offshore staff. Oversee cross-functional streams (PM, dev, architecture, QA, DevOps), drive offshore transitions, engage senior executives, enforce KPIs (budget, resources, quality), and promote team upskilling and delivery accountability.

The QA Engineer will design and implement automated testing frameworks using ServiceNow ATF, execute various testing scenarios, and ensure quality deliverables across different modules of ServiceNow.

The Director PMO will manage large-scale engagements and teams, ensuring successful project delivery, stakeholder communication, and operational excellence.

Manage end-to-end IT hiring, source candidates, coordinate interviews, drive negotiations, and provide market intelligence. Build talent pipelines and maintain recruitment trackers.

Responsible for full stack test automation and manual testing, ensuring robust QA processes in a CI/CD environment with AWS exposure.

Lead design and implement custom extensions for Manhattan OMS/MAO, configure DOM/EOM/ATC/SCI, integrate OMS with payments, fraud, tax, WMS and ERP, develop REST APIs, and provide solution architecture and technical leadership for order management and fulfillment workflows.

Design, build, and manage production-grade CI/CD pipelines and infrastructure automation on GCP. Implement container orchestration (GKE), IaC (Terraform, Helm), DevSecOps tooling, secret management, monitoring and resiliency practices. Mentor junior engineers and drive automation-first processes.

Lead product domain strategy and full product lifecycle for ecommerce products: define KPIs, research, UX/UI, technical specs, integrations, launches, and post-launch analysis; collaborate cross-functionally, drive data-led decisions, and manage risks and dependencies to deliver high-quality omnichannel retail experiences.

Develop and maintain React-based UIs from Figma designs, implement micro-frontend/Single SPA components, and build scalable .NET Core back-end integrations (EF/ADO.NET, REST). Participate across SDLC and Agile ceremonies, produce technical design docs, resolve production issues, and integrate AI-assistant tooling and agentic AI features.

Define and execute enterprise AI DevOps strategy and architecture, design scalable CI/CD and AIOps platforms, integrate AI-driven monitoring and DevSecOps controls, lead platform engineering teams, conduct architecture reviews, and drive governance, automation, and developer self-service for secure, AI-enabled software delivery.