Top Tech Jobs & Startup Jobs

As a Senior Android Developer, you'll create native experiences using the e-commerce tech stack, collaborate with cross-functional teams, mentor juniors, and ensure software quality through testing and documentation.

Lead development of platform adapters and evaluation layers for cloud data stacks (Databricks, Snowflake, BigQuery). Build trusted generation targets (ingestion, pipelines, transformations, warehouses, IaC, CI/CD) and AI-driven validators, ensuring generated outputs are correct, reviewable, and adopted by delivery teams.

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.

Build and own reusable accelerator core and multi-agent workflows, design agent behaviors (coding, planning, testing), implement evaluation pipelines and telemetry, and ensure reliability, cost control, and observability for production agentic systems.

Hands-on senior backend engineer role building and operating a scalable GraphQL-based omnichannel API platform using Node.js and TypeScript on AWS. Responsibilities include API design, schema governance, AWS CDK infrastructure, production support, performance and reliability improvements, testing, CI/CD, observability, and collaborating with distributed 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.

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

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.

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.