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Backend engineer at a fast-growing fintech startup, designing and building scalable Java 25 microservices and REST APIs backed by PostgreSQL to support everyday financial transactions. Day-to-day involves clean code, TDD, and CI/CD in a hybrid London office.
Senior engineer on Asana's Performance & Scalability team in Vancouver, leading initiatives to make the web app fast and scalable — optimizing frontend infrastructure, data loading, and resolving high-impact scalability issues while mentoring other engineers. Office-centric hybrid schedule (Mon/Tue/Thu in office).
QA/QC Engineer supporting mission-critical data center projects with site inspections, ITP reviews, NCR management, and ensuring compliance with ISO 9001 standards and construction specifications.
Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As a Director of…
BLP Digital is expanding into the UK with a London presence. We seek a fullstack engineer with a strong backend focus who enjoys building reliable systems and applying strong software fundamentals. You will work across…
Join BLP Digital — The #1 Solution for ERP AutomationBLP Digital is redefining ERP automation with agentic AI. Spun out of ETH Zurich and HSG, we build AI agents that automate finance, procurement, logistics, sales,…
Full Stack Developer building enterprise-grade .NET/Azure cloud applications with React/Angular/Vue front-ends in a hybrid role in Eastern Cape.
Paystack is looking for a senior full-stack engineer to build and maintain scalable back-end and front-end applications for their payments platform. The role involves working with large distributed data sets and collaborating with engineering teams to support merchants and customers.
The Full Stack Developer will design and maintain enterprise applications using .NET Core, C#, and SQL Server while building front-end interfaces with React, Angular, or Vue.js. The role involves deploying scalable solutions on Azure and implementing CI/CD pipelines using Azure DevOps.
The Senior Backend Data Onboarding Engineer will architect and build distributed backend systems to automate data ingestion from ad networks and warehouses into BigQuery. This role focuses on creating scalable pipelines to support data-driven decision-making for a marketing platform.
Uncover is seeking a Structural & Architectural Design Engineer to lead the design of our data center facilities in Poland. You will shape the building envelope, interior layouts, and load-bearing systems to…
Uncover is hiring a MEP Design Engineer for a Poland-based, large-scale AI data center project. You will design mechanical, electrical and plumbing systems for critical facilities, ensuring reliability, energy…
Implements scalable backend services and data pipelines for data onboarding workflows, working with data platform and AI services to onboard customer data with minimal human intervention.
Full Stack Engineer owning features end-to-end across web and mobile using TypeScript, React, Node.js, Angular, MongoDB, and AWS, with AI-first engineering practices at a construction/industrial SaaS company.
About Read AI: At Read AI we’re redefining how teams collaborate by bringing intelligence to every conversation. Our platform supercharges productivity across meetings, messages, and email, so work gets done faster,…
QA Engineer owning evaluation frameworks for non-deterministic LLM-based AI agent systems in heavy industry, building golden datasets, regression suites, and adversarial tests using Python and eval tooling integrated into CI/CD.
Design, implement, and optimize CI/CD pipelines using Docker, Kubernetes, and JFrog tools, working closely with customers and cross-functional teams to drive DevOps platform adoption.
Senior Full-Stack Developer architecting and building scalable, secure web applications and APIs for enterprise and government clients using React/Vue.js/Angular front-ends with Node.js/Python back-ends, plus ETL pipelines and cloud-native solutions.
Build and own core AI infrastructure—model-serving pipelines, inference layers, data pipelines, and APIs/microservices—connecting GenAI, CV, and ML models to enterprise environments using TypeScript/Node.js on cloud infrastructure.
Staff DevOps Engineer owning core infrastructure (compute, networking, storage, CI/CD) for AI systems deployed in heavy industries, using Kubernetes, Terraform/Pulumi, and cloud platforms (AWS/GCP/Azure) with a focus on ML workloads and observability.
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