1,026 to 1,050 of 1,599 Remote/Hybrid Kubernetes Jobs

decisions. Nice to have Experience with GPU compute or AI infrastructure , including inference, fine-tuning, training, or batch workloads. Experience building serverless, cloud compute, Kubernetes, or container-based infrastructure products . Strong awareness of the AI infrastructure and cloud compute landscape , including emerging platforms, products, and market trends. Previous technical ...

development resources and peer learning. If this aligns with your own personal growth mindset, Experience includes: Microsoft Azure and/or AWS cloud infrastructure. Kubernetes and container technologies. Infrastructure as Code and automation tools such as Terraform, Bicep and PowerShell. Cloud networking, identity, security, backup and governance. Microsoft 365 technologies ...

Postgres Are experienced in building and operating SaaS production services in a distributed, multi-tenant environment Can fluently navigate a modern devops stack: K8S, OpenTelemetry, Grafana Have a track record of taking over and improving existing production services Nice to have: Prior experience with identity management protocols, such as OAuth ...

model deployment to constrained edge/embedded compute, and the hardware-software trade-offs involved. Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development/experiment workflow tooling. Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex. Stays ...

Tune, or similar frameworks Strong engineering practices: reproducible experimentation, clean code, testing, and performance-aware debugging Comfort with modern ML infrastructure (e.g., Docker, CUDA, Kubernetes, experiment tracking tools such as Weights & Biases) PREFERRED Experience with multimodal or multi-task model architectures Training and inference optimization (e.g., mixed precision, kernel optimization ...

Have” Skills and Experience : Contributions to open‐source fuzzing tools, sanitisers, or security research publications. Knowledge of distributed fuzzing at scale (GCP/AWS, Kubernetes, or bare‐metal clusters). Familiarity with kernel, embedded, or firmware fuzzing (e.g., Syzkaller, QEMU‐based harnesses). Background in reverse engineering, static analysis ...

language — we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day‐to‐day work. Care about the societal impacts ...

hands on engineering and strong working knowledge of a stack like ours: Java and Spring Boot, TypeScript and React, AWS with EKS and Kubernetes, Terraform, and event driven systems and microservices. Proven ability to work with product, business and technology leaders, communicating technical options, trade offs and risks clearly ...

hands on engineering and strong working knowledge of a stack like ours: Java and Spring Boot, TypeScript and React, AWS with EKS and Kubernetes, Terraform, and event driven systems and microservices. Proven ability to work with product, business and technology leaders, communicating technical options, trade offs and risks clearly ...

Search/Recommender systems. Experience with mainstream DL frameworks: PyTorch or TensorFlow. Preferred Qualifications: Experience with our stack (Python, Pytorch, Airflow, BigQuery, Ray, k8s, kafka, GCP) Tech leadership experience: mentoring junior engineers and leading complex projects. Hands-on experience with using/fine-tuning/building LLMs. Global Benefit programs ...

model deployment to constrained edge/embedded compute, and the hardware-software trade-offs involved. Familiar with compute management and ML platform tooling - e.g. Kubernetes, Ray, Flyte, Docker, cloud (Azure), Python - and model-development/experiment workflow tooling. Proficient with AI Agents to accelerate execution: e.g. Cursor, Claude, Codex. Stays ...

Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models. Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python. Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex. Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving ...

Solid understanding of Machine Learning, GPUs and training and inference of 500M-20B parameter models. Proficient with some or all of Databricks, Flyte, Ray, Kubernetes, Azure, Docker, Python. Proficient with AI Agents to accelerate execution: eg. Cursor, Claude, Codex. Stays neutral and adapts under pressure: Effective in ambiguous, fast-moving ...

like BFF or micro-frontends. Have experience of working with both internal and third-party APIs. Degree in a related discipline. Our stack comprises: Kubernetes Python/Django/Celery Vue.js PostgreSQL Redis Solr Memcached Nginx Varnish Cloudflare GitLab Salary: £75,000 to £82,000 per annum depending on experience ...

systems. Deep familiarity with JAX internals, distributed training libraries, or custom kernels/fused ops. Experience with multi-node cluster orchestration (Slurm, Ray, Kubernetes, or similar).Comfort debugging performance issues across CUDA/NCCL, networking, IO, and data pipelines. Experience working with containerized environments (Docker, Singularity/Apptainer).A track ...

stand behind Useful: Familiarity with our core stack: Go, Scala, React/TypeScript, Next.js, GraphQL, gRPC Experience with cloud infrastructure (AWS) and container orchestration (Kubernetes) Background in real-time, event-driven, or high-value transaction systems Experience establishing engineering standards, governance, or communities of practice E-commerce, marketplace, or auction ...

work orders, assets, and service processes Languages and platform: expert-level Python and TypeScript; able to read C++ where OEM SDKs demand it; production Kubernetes andcontainerisation, CI/CD, and edge deployment patterns for on-site connectivity Security and safety posture: identity andauthorisationfor machine actors, network segmentation for OT environments ...

BigHand Limited is seeking a Lead Platform Operations Engineer to drive the evolution, reliability, and security of our cloud-native SaaS platforms on Azure. You will lead hands-on engineering and inspire a team of ...

Experis - ManpowerGroup is seeking an Infrastructure specialist for a 6-12 month contract. This role is remote within the UK with occasional travel to London, Manchester, Leicester, Hursley, Glasgow or Edinburgh. You will join a ...

CBSbutler Ltd. is seeking a Java Engineer to maintain and enhance enterprise Java applications in a live environment. The role focuses on keeping critical services running, supporting batch processing and delivering controlled change across a ...

IBM is seeking a Senior Software Engineer in Hursley, United Kingdom, to design and maintain Golang infrastructure services for our Confluent Cloud Platform. The role demands strong experience in cloud infrastructure and distributed systems. Candidates ...

Burns Sheehan is partnering with a rapidly scaling AI-native SaaS company to hire a Senior Platform Engineer in a remote-first role with a hybrid London office option. The position focuses on building scalable ...

delivery across our on‐premise estate while acting as the key engineering stakeholder to help shape, configure, and roll out our new Kubernetes platform, modernising how we deploy and scale workloads. This is a hands‐on role with real impact. You won't be rubber‐stamping tickets; you'll have … post‐mortems for engineering‐led deployments. Maintain clear documentation, deployment runbooks, and developer self‐service guides to streamline the engineering onboarding and release processes. Kubernetes Represent Engineering as a key stakeholder in platform design: Collaborate with TechOps to shape engineering self‐service workflows, guardrails, and standards. This includes contributing requirements ...

delivery across our on-premise estate while acting as the key engineering stakeholder to help shape, configure, and roll out our new Kubernetes platform, modernising how we deploy and scale workloads. This is a hands‐on role with real impact. You won't be rubber‐stamping tickets; you'll have … post‐mortems for engineering‐led deployments. Maintain clear documentation, deployment runbooks, and developer self‐service guides to streamline the engineering onboarding and release processes. Kubernetes Represent Engineering as a key stakeholder in platform design: Collaborate with TechOps to shape engineering self‐service workflows, guardrails, and standards. This includes contributing requirements ...

delivery across our on-premise estate while acting as the key engineering stakeholder to help shape, configure, and roll out our new Kubernetes platform, modernising how we deploy and scale workloads. This is a hands‐on role with real impact. You won't be rubber‐stamping tickets; you'll have … post‐mortems for engineering‐led deployments. Maintain clear documentation, deployment runbooks, and developer self‐service guides to streamline the engineering onboarding and release processes. Kubernetes Represent Engineering as a key stakeholder in platform design: Collaborate with TechOps to shape engineering self‐service workflows, guardrails, and standards. This includes contributing requirements ...