Top Tech Jobs & Startup Jobs

Lead planning, execution, and delivery of enterprise technology projects. Manage scope, timelines, budgets, resources, risks, vendors, stakeholders, and communications across Agile, Scrum, and Waterfall environments. Oversee software development, technology implementations, cloud transformation, application modernization, and concurrent project priorities while ensuring business and technology objectives are achieved.

Build and maintain production-grade full-stack applications across frontend, backend, cloud infrastructure, and deployment pipelines. Develop responsive React or similar frontend applications, TypeScript and Node.js backend services, RESTful APIs, and AWS cloud-native architectures. Design serverless and container-based solutions, implement Generative AI and RAG applications, and work with vector databases, embeddings, retrieval pipelines, model evaluation, and prompt engineering. Own projects from design through deployment with minimal oversight.

Design, develop, and scale backend services and agent orchestration workflows for an Agentic AI platform. Integrate LLMs and vector DBs, implement RAG pipelines, build tools/connectors, ensure CI/CD, monitoring, testing, and optimize performance for production AI deployments.

Develop and maintain Python backend services and AI platform components. Build agent orchestration workflows, integrate LLMs and RAG solutions, connect tools and enterprise systems, optimize performance, and create testing and evaluation frameworks for production-ready agentic AI deployments.

Leads QA strategy and a team of QA engineers while designing scalable Java, Selenium, and Cucumber automation frameworks. Integrates automated testing into CI/CD pipelines and validates AWS-hosted applications. Oversees functional, regression, integration, API, and end-to-end testing; defect management; quality metrics; test reviews; stakeholder reporting; and continuous improvement. Collaborates with development, DevOps, product, and architecture teams to identify quality risks and improve release quality.

Lead planning, execution, and delivery of enterprise technology projects. Manage scope, timelines, budgets, resources, risks, vendors, and stakeholder communications across Agile, Scrum, and Waterfall environments. Oversee software development, technology implementations, cloud transformation, application modernization, and other enterprise initiatives while coordinating cross-functional teams and multiple concurrent priorities.

Design intuitive user experiences for a demo creation platform, including drag-and-drop workflows, wireframes, prototypes, journey maps, and high-fidelity designs. Conduct user research and usability testing, analyze user behavior, maintain design systems, and collaborate with product managers, engineers, stakeholders, and end users to improve usability, adoption, and satisfaction.

Develop production-grade agentic AI applications in Python, including AI agents, multi-agent workflows, APIs, integrations, RAG pipelines, and cloud deployments. Use LLMs, vector databases, agent frameworks, and observability tools while implementing secure, governed AI solutions. Collaborate with clients, architects, product teams, and data scientists through workshops, demonstrations, proofs of concept, and troubleshooting sessions.

Lead QA automation initiatives for enterprise applications by defining test strategies, building Java, Selenium, and Cucumber frameworks, integrating automated testing into CI/CD pipelines, and ensuring quality across AWS-hosted systems. Mentor QA engineers, oversee testing and defect processes, track quality metrics, collaborate with development, DevOps, and product teams, and drive continuous improvement across functional, regression, integration, API, and end-to-end testing.

Develop scalable Java full-stack applications using Spring Boot, REST APIs, microservices, React or Angular, databases, cloud platforms, Docker, and Kubernetes. Build and integrate generative and agentic AI capabilities, including LLMs, RAG, vector databases, orchestration, tool calling, and MCP. Partner with enterprise stakeholders to prototype, deploy, secure, monitor, and support production solutions while translating ambiguous business needs into technical implementations.