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Senior Data Engineer
Design and build scalable data pipelines and lakehouse architectures using Python, Spark, Kafka, and cloud platforms to enable real-time analytics and ML workflows.
Software Engineer
Design and build secure, scalable cloud and PaaS solutions for Defence research, working with Linux, containers, and hardware acceleration to deliver high-performance software systems.
Senior Software Engineer, Infrastructure, GDC VM Management
Build and maintain Google Distributed Cloud VM products using Kubernetes, KubeVirt, QEMU/KVM, Go, and Linux internals to run secure, scalable virtual machines for air-gapped and connected private cloud environments.
Software Engineering Manager, Network Service Level Objective
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major…
Software Engineer III, Data Engineering Console, Agentic Infrastructure
Build and maintain Google’s Data Engineering Console, a monitoring platform for petabyte-scale data pipelines and agentic systems powering Ads, YouTube, and AI research.
AI Automation Engineer - 12-month contract
Build and optimize low-latency ML inference pipelines and LLM tools to automate trading workflows, using PyTorch, TensorRT, and cloud GPUs.
Principal Data Engineer (Microsoft Fabric)
Principal Data Engineer leading Microsoft Fabric architecture, governance, and pipelines for real-time analytics and AI integrations in a regional government data ecosystem.
Full Stack Developer
Lead a government engineering team building scalable full-stack apps using Java/Spring Boot, GraphQL, AWS, and microservices while mentoring developers and shaping technical roadmaps.
Fullstack Java Developer (M/F)
Builds cloud-native Java applications with Spring Boot and Angular/React, using Kafka, microservices, and Kubernetes in a consultancy setting.
JAVA Developer (M/F)
Build cloud-native Java microservices with Spring Boot, AWS, Kafka, and Kubernetes, applying SOLID and hexagonal architecture principles.
Lead Fullstack Java Developer - Spring Boot & Microservices
Builds cloud-native Java applications using Spring Boot, microservices, and Angular/React, while applying SOLID and hexagonal architecture in a distributed systems environment.
Applied AI Engineer (Squad Lead)
Lead a team building production-grade AI agents and applications for a regulated fintech platform, from POC to deployment, using LLMs, RAG, and vector databases.
Senior Software Engineer (Go)
Build and run cloud-native microservices in Go that power a real-time payment platform, focusing on high availability, low latency, and resilience for billions of transactions.
Staff Platform Engineer (Remote)
Lead the architecture and scaling of Catena’s real-time telematics data platform, building high-throughput cloud infrastructure, distributed event pipelines, and developer tooling to deliver standardized vehicle data to insurers, brokers, and logistics platforms.
Software Engineer, Platform
Build and scale Mithril’s AI GPU infrastructure platform, owning backend APIs, marketplace logic, and supply integrations that handle real revenue and customer workloads.
Site Reliability Engineer
Build and own the automation, observability, and tooling that keeps Mithril’s multi-cloud GPU orchestration platform stable and performant, directly shaping customer experience and revenue.
AI Infrastructure Engineer
Build and optimize distributed AI training systems, profiling bottlenecks in PyTorch stacks and low-level GPU kernels to speed up model convergence.
Site Reliability Engineer
Build and maintain fault-tolerant, scalable infrastructure for an AI platform, automating operations and improving uptime while guiding reliability best practices across teams.
Simulation Infrastructure Engineer
Build and maintain simulation infrastructure for robotics, creating scalable systems to run, evaluate, and iterate on robotics models and digital twin environments.
Data Infrastructure Engineer
Build and maintain petabyte-scale data pipelines for robotics AI training, including batch and streaming systems, storage, and orchestration layers.