Top Tech Jobs & Startup Jobs

As a Senior Frontend Software Engineer, you will design and build scalable front-end solutions using React and Next.js, ensuring high performance and security. You will collaborate with cross-functional teams in an Agile environment and advocate for best practices in SEO and performance optimization.

The Staff Frontend Software Engineer will architect and build high-performance frontend solutions, ensuring engineering excellence and driving testing strategies while leading teams in an Agile environment.

Lead full‑stack web application development while integrating AI-assisted workflows. Use AI coding assistants and agentic techniques to design, implement, test, and validate production‑grade frontend and backend systems. Build reusable prompts and agent workflows, establish verification and guardrails for AI-generated outputs, contribute to architecture and engineering standards, and mentor teams on responsible AI-enabled development.

This course teaches basic Python programming skills, covering concepts such as variables, data structures, functions, control flow, error handling, file handling, and modules with hands-on exercises and a final project.

The Senior Data Scientist will lead complex data science initiatives, collaborate with marketing and product teams, and create statistical models to drive strategic decisions.

This course provides a foundation in Product Management, covering the Product Life Cycle, problem analysis, user experience, Agile delivery, and AI tools to support product workflows.

The Senior Data Engineer will design, develop, and optimize scalable batch and streaming data pipelines using Databricks, Snowflake, and modern data engineering techniques while ensuring data quality and collaborating with teams.

Lead architecture for an omni-channel order management transformation, defining current and target-state architectures, shaping order management capabilities, supporting discovery, procurement and vendor selection (RFI/RFP), guiding implementation and legacy modernisation, establishing architecture governance, and collaborating with product, engineering, commerce, supply chain and platform teams to deliver technology recommendations and non-functional requirements.

Lead architecture for customer data transformation programmes: define current and target state architectures, design customer data foundations (CDP, MDM, single customer view), support CRM integration, drive technology selection and procurement, establish governance, and guide phased implementation with stakeholders across data, product, marketing and engineering.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.