Lovable★4.0 (43)· London

Uses Go, Rust, TypeScript; AWS, Azure, Google Cloud, Cloudflare; Kubernetes, Terraform, Temporal, OTEL, CI/CD; PostgreSQL, ClickHouse, Firestore, Spanner, BigQuery. Builds the platform for Lovable Enterprise enabling secure, cloud-agnostic deployment, defining architecture for sandboxing, networking, encryption, identity, and mentoring engineers.

Manage a team of test and DevOps engineers building CI/CD, Yocto-based embedded Linux, test automation, and cloud infrastructure (Python, C/C++, AWS/GCP/Azure) for non-invasive neuromonitoring medical devices.

Lead a team of test and DevOps engineers owning CI/CD, Yocto-based embedded Linux, and test automation infrastructure. The role uses Python, C/C++, infrastructure-as-code (Terraform, CDK), and cloud platforms (AWS/GCP/Azure) for a non-invasive neuromonitoring medical device company.

Lovable★4.0 (43)· London

Build enterprise deployments using Go, Rust, and TypeScript on AWS, Azure, and Google Cloud, with Kubernetes, Terraform, and Temporal. You will build the platform that allows large customers to run Lovable securely and at scale across every major cloud provider.

Apple★4.1 (14k)· London

Use Golang, C++, Java, or Python along with Kubernetes, Cassandra, Zookeeper, Kafka, Redis, and other open-source tools to build and support Apple's next-generation infrastructural platform for iCloud and backend services at hyperscale. The role includes technical leadership of projects or small teams, developing resilient API-driven services.

At Axon Labs you will own production infrastructure across multi-region cloud and latency-sensitive environments using AWS, Python, C++, Kubernetes, Terraform, CI/CD, PostgreSQL, TimescaleDB, Kafka, Redis, low-latency messaging, Grafana, Prometheus, and Loki. The company is a systematic trading and research lab that builds decision engines running in live markets, with multiple strategies already in production across venues.

Build and operate a Kubernetes-native cloud platform for GPU inference workloads, using Python or Go. You'll lead technical designs, own areas like request routing and adaptive scheduling, and implement optimizations such as speculative decoding and KV-cache reuse, working with Prometheus, Grafana, and OpenTelemetry.

Build and own the cloud infrastructure for live AI-driven trading systems, using AWS, Kubernetes, Terraform, Python, Kafka, PostgreSQL, Redis, and ClickHouse. You will design deployment pipelines, multi-region environments, and observability with Grafana, Prometheus, and Loki. This is a founding engineering role, giving you direct ownership of the platform and architecture.

Design and build fault-tolerant, high-performance systems for serving LLMs, working with Python, Go, Rust, or C++, Docker, Kubernetes, AWS, or GCP, and LLM serving frameworks.

You’ll work in Rust, C, or C++ on the Agave client’s block-production pipeline, designing shared-memory systems and optimizing scheduling, verification, and throughput for the Solana network at a Solana R&D lab.

You will design and build the agent sandboxing platform using Go or Rust, working with containerization (Docker, Firecracker, gVisor) and virtualization technologies on Linux. The team provides a secure, high-performance code execution layer for agentic workflows deployed across internal and customer-managed environments.

IG Group★2.7 (13)· London

You will work with Honeycomb, OpenTelemetry, Java, Python, C++, and Terraform. You will build and maintain the observability platform for IG Group’s globally distributed microservices trading systems. This individual contributor role is part of the Observability team within SRE and Platform Engineering.

You will use Red Hat Enterprise Linux, Python, SaltStack, Puppet, Chef, Git, Jenkins, and CI/CD tools to automate configuration, patching, and deployment for a global investment bank’s large-scale Linux platform. You will also develop infrastructure tooling, troubleshoot hardware, OS, network, and storage issues, and contribute to new platform solutions.

You will work with RedHat Linux, SaltStack, Puppet, Chef, Python, Git, Jenkins, CI/CD, and container technologies. The team maintains and enhances a large-scale, globally deployed RedHat Linux platform, driving automation, scalability, and platform reliability.

CrowdStrike★3.8 (54)· London

You will work with Go (Golang) or C++, AWS/GCP/Azure/Kubernetes, Kafka, Cassandra, Docker, and Redis. This role is on the CrowdStrike Detection Engine platform team, which builds a next-generation platform for creating advanced, unified detections across CrowdStrike’s Falcon products, processing internet-scale data streams for real-time detection generation.

OpenAI★4.6 (9k)· London

Work with Go, Python, C++, Rust, Kubernetes, Linux, container orchestration, and observability tooling to build software managing large-scale GPU clusters for ChatGPT inference. You will design and operate internal platforms, tooling, and AI-powered agents that automate fleet operations and improve reliability across thousands of GPUs.

LSEG★3.7 (402)· London

You'll work with Java, Python, C++, C#, AWS or Azure, CI/CD pipelines, and AI-assisted development tools to modernise and scale FTSE Russell's cloud-native, low-latency index platform that underpins global investment products.

LSEG★3.7 (402)· London

You will work with Java, Python, C++, C#, or similar, plus AWS or Azure, CI/CD, and AI-assisted development tooling. The team modernises and scales FTSE Russell’s cloud-native, low-latency platform that powers global benchmarks and index solutions for investment decisions.

You will work with Rust, Python, Docker, Azure/AWS, Prometheus, Grafana, and streaming databases. Helsing is a defence AI company building resilient distributed systems for high-performance machine learning inference at the tactical edge.

You will work with Python, PyTorch, and geometric deep learning methods (e.g., NeRF, SLAM, VIO, feature matching) to build scene matching, geo-registration, and 3D reconstruction systems for defence AI. The team specialises in scene understanding and localisation, delivering AI capabilities for machine perception and human decision-making under real-world hardware and adversarial constraints.

Design and scale infrastructure for CoreWeave's GPU Intelligence Platform using Python, Go, Rust, or C++. Build data ingestion, feature pipelines, and deploy ML models on Kubernetes with streaming tools like Kafka. The team develops a reliability platform for fleet-level anomaly detection, prediction, and automated root cause analysis.

Axon★3.3 (126)· London

You will work with Python/C++, PyTorch, TensorFlow, AWS, AzureML, and edge hardware (Qualcomm, NVIDIA, Intel) using TensorRT, ONNX, and SNPE. As part of Axon’s CoreAI team, you will drive end-to-end development of AI systems across cloud, edge, and robotics platforms, building production systems for computer vision, NLU, multimodal AI, and GenAI.

Axon★3.3 (126)· London

Work with LLMs, MLLMs, Computer Vision, and GenAI using Python, C/C++, TensorFlow, PyTorch, or Keras and ROS. As part of Axon's AI team, advance state-of-the-art models for intelligent reasoning and perception of multimodal data, deploying them in cloud, devices, and robotics. Provide technical leadership to junior scientists.

You'll optimize ML inference for edge accelerators (NVIDIA Orin/Thor, Qualcomm) and GPUs using tools like TensorRT, CUDA, and QNN, working across compilers, runtimes, and kernels. Wayve develops embodied AI and foundation models enabling autonomous driving without maps; this team deploys large transformer models efficiently onto low-power in-vehicle compute. You'll profile bottlenecks, implement optimizations, build benchmarking systems, and collaborate with model developers on production systems.

You'll develop and maintain the Agave client for the Solana blockchain using Rust or C++, focusing on performance optimization, security testing, and distributed systems reliability. Anza is an R&D lab building robust blockchain infrastructure and protocols to improve Solana's scalability and security. You'll analyze code, design benchmarking solutions, and collaborate across teams to enhance the network's robustness against emerging threats.