Top Tech Jobs & Startup Jobs

Lead technical projects using Agile/Scrum: define scope, plan timelines, allocate resources, identify and mitigate risks, coordinate developers and engineers, facilitate Scrum ceremonies, oversee QA/testing, manage stakeholders and change requests, and report project health using tools like Jira and Confluence to ensure timely, quality delivery.

The Technical Project Manager will lead project success in Agile environments, ensure team accountability, resolve issues, and manage stakeholder expectations, while utilizing technical expertise.

The Data Engineer is responsible for designing and developing cloud-native data pipelines, integrating machine learning models, and ensuring the reliability and scalability of data solutions in a collaborative environment.

The role requires leading Angular development projects with a focus on frontend modernization and architecture, while mentoring teams and optimizing performance.

Seeking a .NET Core ReactJS Developer with extensive full-stack experience, expertise in API design, cloud platforms, DevOps, and familiarity with AI technologies.

The Senior Database Engineer will oversee a hybrid database ecosystem, focusing on Oracle and PostgreSQL, and lead migrations to AWS, ensuring performance, reliability, and security.

Build and maintain full-stack software for financial research: design scalable, high-performance solutions for large data, implement features, write tests, collaborate with product and cross-functional teams, and optimize algorithms and queries.

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.

Lead and mentor data scientists to develop and deploy ML models using Python, R, SQL and distributed data technologies. Perform rigorous statistical analysis, A/B testing, create Looker reports, derive business insights, and communicate results to technical and non-technical stakeholders. Domain expertise in CV/NLP, agentic AI, e‑commerce, and clickstream analysis is a plus.

The MarTech Architect designs marketing technology stacks integrating CRM, Marketing Cloud, data, and analytics platforms, ensuring seamless customer journeys.