Tech jobs
Job listings
Principal Full Stack Engineer
Principal Full Stack Engineer to lead the rebuild of an automotive marketing platform using Node.js/TypeScript and Next.js, while shaping an AI-first engineering practice for a business serving major car brands.
Senior Backend Developer
Senior Backend Developer builds and maintains secure, scalable APIs and services in Python/Java/C#/Node.js, integrating databases and cloud platforms for a language-service startup.
Senior Software Engineer - Java - Engine by Starling
Build and lead backend services in Java for a cloud-native banking platform, deploying microservices on AWS/GCP and Kubernetes to expand Engine by Starling’s global banking tooling.
Senior Software Developer (Python)
Build cloud-native Python services and data platforms that power AI-driven analytics, forecasting, and optimisation for Sky’s networks, using FastAPI/Flask/Django, GCP, Docker, and Kubernetes.
Data Engineer: GCP Pipelines & SQL/Python
Designs and maintains scalable GCP data pipelines and ETL processes using SQL and Python to ensure reliable, high-quality data across markets.
Data Engineer
Build and maintain scalable data pipelines on GCP using SQL and Python, ensuring data quality and reliability for analytics and reporting.
GCP Data & AI/MLOps Engineer
Build and maintain GCP data pipelines and AI/ML solutions using Dataflow, Apache Beam, BigQuery, Kubeflow, and Python for enterprise clients.
Senior Associate Data Engineering
Design and build large-scale data pipelines and cloud-native platforms using Snowflake/Databricks, Python, SQL, and IaC tools like Terraform to enable analytics and digital transformation for enterprise clients.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake/Databricks and infrastructure-as-code tools like Terraform to enable scalable analytics and transformation.
Senior Associate Data Engineering
Design and build cloud-native data pipelines and platforms for clients, using Snowflake, Databricks, and infrastructure-as-code tools like Terraform.
Solution Designer / Lead Data Engineer
Design and lead a modern, cloud-agnostic enterprise data ingestion framework, building scalable pipelines across GCP, AWS, and Azure while embedding governance, quality, and security controls.
GCP Data Engineer: BigQuery, Dataflow & Streaming Pipelines
Designs and scales high-volume data pipelines on GCP using BigQuery, Dataflow, and Pub/Sub to transform raw data into structured insights for analytics and decision-making.
Google Data Engineer - GCP
Design and build scalable GCP data pipelines (BigQuery, Dataflow, Pub/Sub) to process petabyte-scale data, enabling analytics and ML across enterprise systems.
Front end Full stack Engineer with AI
Build and deploy AI/GenAI applications using Python, FastAPI/Flask, and cloud platforms, integrating LLMs, vector databases, and agentic workflows.
Full Stack Engineer EOI
Builds and maintains high-performance eCommerce sites using React, Node.js, TypeScript, and Shopify Plus for leading retail brands.
QA Lead / Quality Engineering Lead
Leads quality engineering for an AI-first SaaS platform, defining test automation strategy, building Playwright-based frameworks, and integrating tests into CI/CD to ensure reliable releases.
Senior Software Engineer, Infrastructure (SRE & Security Focused)
Build secure, reliable infrastructure for an AI robotics company powering autonomous supply chains, focusing on cloud security, SRE, and observability across robotics and logistics systems.
DevOPS Cloud Engineer - Senior
Senior DevOps engineer building and securing cloud-native infrastructure on AWS and OpenShift, automating deployments with Terraform and Ansible, and hardening CI/CD pipelines.
Senior Data Engineer
Build and maintain scalable cloud data pipelines and warehouses (Snowflake/BigQuery) to power AI-driven analytics and BI for top consumer brands.
Hybrid Data Scientist & ML Engineer — AI in Production
Design, train, and deploy ML/DL models into production, focusing on NLP, embeddings, and cloud pipelines (Azure OpenAI, Google Cloud) using TensorFlow, PyTorch, and AutoML tools.