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.

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.

Cloudflare★3.2 (1.8k)· London

Interns work with Rust, C, Go, Python, and Gitlab/Github. Cloudflare’s Research Team solves difficult problems in security, privacy, and systems at scale. Projects may involve AI, distributed systems, privacy, and trusted execution environments.

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.

Junior Software Engineer working with TypeScript, Java, Golang, Rust, Python, SQL, cloud-native technologies, infrastructure as code, and CI/CD. The Cloud Infrastructure team builds and operates secure, scalable cloud systems for loveholidays' AI-first platform, providing self-service tooling, automation, and improving observability and reliability.

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.

G-Research★3.6 (18)· London

You will work with C#/.NET, Python, TypeScript, Go, Rust, Kubernetes, Linux, and infrastructure automation tools. The Core IP Security team designs, builds, and operates bespoke security systems protecting the firm’s intellectual property, including cryptographic key management, access control, and scanning tools. This is a small, focused team where every engineer has significant autonomy.

You will work with C, Rust, bare metal, RTOS, embedded Linux, secure boot, root of trust, and cryptographic mechanisms. Fractile builds chips and systems that radically accelerate AI inference, aiming for thousands of tokens per second. The team secures the control chain across devices, boards, chassis, and racks.

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.

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.

Apple★4.1 (14k)· London

Work with Swift, Java, Go, protobuf, gRPC, Kubernetes, CI/CD, and observability tools to build and enhance privacy-preserving cloud infrastructure and media processing systems for Apple's iCloud Platform.

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.

Encord seeks a Senior SRE Engineer to build and operate infrastructure for its AI data platform, which indexes and curates data across the ML lifecycle. You'll optimize large-scale data pipelines on GCP and AWS using Kubernetes, manage petabyte-scale storage, define SLIs/SLOs/SLAs, and instrument services with Prometheus, Grafana, OpenTelemetry, and Datadog. You'll collaborate with backend engineers (Python, Rust) and multiple squads to drive reliability, capacity planning, and observability practices as the platform scales from hundreds to thousands of AI teams.

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.

Automata★3.3 (4)· London

You'll design and operate Kubernetes platforms across AWS and bare-metal environments, manage Postgres databases, and develop Infrastructure as Code using Terraform or similar tools while supporting the LINQ platform—Automata's hardware-software system that makes lab automation accessible to life-sciences researchers globally. The role involves GitOps workflows (ArgoCD), observability systems, networking, and compliance in regulated environments, with development in Python, Go, Rust, or .NET.

Automata★3.3 (4)· London

This Staff Platform Engineer role at Automata involves designing and leading platform infrastructure across Kubernetes, cloud, edge, and bare-metal deployments, with expertise required in GitOps (ArgoCD), infrastructure-as-code, Postgres, and observability tooling like OpenTelemetry. You'll establish golden paths and standards for the engineering organization while architecting systems for regulated environments (ISO27001, SOC2, GxP) and mentoring engineers across teams. The company builds LINQ, a hardware-software platform combining robotics and software to automate lab workflows in life sciences.

G-Research★3.6 (18)· London

G-Research's Trade Technology function seeks a Production Software Engineer to design and build globally distributed trading systems using typed languages like Java, Kotlin, C++, or Rust, alongside Kubernetes and containerization technologies. You'll own engineering infrastructure for deployment automation, diagnostics, and fault-tolerant operations while optimizing performance, reliability, and observability of production-grade trading platforms at scale.

You'll work with Go and Python to design and build core authentication, authorization, and observability infrastructure for PhysicsX's AI-driven simulation platform serving aerospace, materials, energy, semiconductor, and automotive customers. Your focus will span identity management (OAuth 2.0, OIDC, SAML), fine-grained access control (RBAC/ABAC), distributed tracing and logging, Kubernetes/GitOps, and secure agent governance patterns across multi-tenant, regulated environments.

You'll work with AWS (VPC, networking, load balancing), Kubernetes/EKS, Terraform, and Python/Go/Rust to design and operate cloud infrastructure powering Perplexity's AI answer engine and Computer product. The Cloud Infrastructure team builds multi-tenant, single-tenant, and enterprise deployment topologies, manages multi-region strategies, and implements security and compliance layers for AI workloads. This role requires 7+ years designing and operating production cloud infrastructure.

Lovable★4.0 (43)· London

You'll build enterprise deployment and integration infrastructure for Lovable, an AI-powered app-building platform. Working with React, TypeScript, Go, Rust, Kubernetes, Terraform, and multi-cloud systems (AWS, GCP, Azure), you'll own features enabling Lovable apps to run across hyperscalers and integrate with enterprise platforms like identity providers and SaaS systems. This is core product work directly impacting enterprise customers, requiring 5+ years shipping full-stack systems and hands-on multi-cloud production experience.

You'll work with TypeScript, React, and REST/GraphQL APIs, maintaining a component library and frontend standards for Helsing, a defence AI company protecting democracies. You'll own the UI end-to-end across multiple internal products, collaborate with backend teams (primarily Rust-based), and help mentor and grow a small frontend engineering team while establishing best practices across the organization.

Helsing, a defence AI company, seeks backend engineers to develop software for semi-autonomous platforms using Rust and Python across distributed systems, embedded computing, robotics, networking, and machine learning. You'll work on AI-based capabilities and infrastructure handling real-time perception and localization in resource-constrained, air-gapped environments with strict reliability requirements. Experience with backend languages like Rust, Java, Go, or C++; REST/GraphQL/gRPC interfaces; and container architectures is valued.