Work with Terraform, Ansible, Kubernetes, Python, Bash, Go, Jenkins, GitHub Actions, Prometheus, and Grafana to build infrastructure automation platforms supporting python-based quantitative research and trading systems. Manage on-premises resources across Ubuntu and Windows Server environments.

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.

Work with Kubernetes, Helm, Argo CD, GitOps, HashiCorp Vault, Prometheus, Grafana, Open Policy Agent, and Backstage to build and manage microservices configurations. The Webex Engineering Group owns the design and delivery of Kubernetes-based configurations for products like Webex Meetings, Webex Calling, and Webex Contact Center.

Design, code, and deliver Kubernetes-based microservices configurations using Kubernetes, Helm, and Argo CD within a GitOps model. You will use Prometheus, Grafana, Open Policy Agent, and HashiCorp Vault to ensure reliability, governance, and secure secrets management while advancing a self-service platform with Backstage. The team builds Webex Meetings, Calling, and Contact Center for the Webex Engineering Group.

Cisco★4.1 (6.7k)· London

Kubernetes, Helm, Argo CD, GitOps, HashiCorp Vault, Prometheus, Grafana, Open Policy Agent, Backstage, and CI/CD tools. As part of Cisco's Webex Engineering Group, you will own configuration quality and reliability for collaboration products such as Webex Meetings, Calling, and Contact Center.

Cisco★4.1 (6.7k)· London

Design, codify and deliver Kubernetes-based microservices configurations using Kubernetes, Helm, Argo CD, and Backstage. Apply progressive delivery via canary releases, manage secrets with HashiCorp Vault, and use Prometheus and Grafana for observability. You will support the Webex Meetings, Calling, and Contact Center products within Cisco's Webex Engineering Group.

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.

NiCE★3.4 (30)· London

You'll work with Python, Go, Java, C#, Bash, PowerShell, AWS (EC2, ECS, Lambda, DynamoDB), CloudFormation, Terraform, Jenkins, GitLab CI/CD, CircleCI, Docker, Kubernetes, Prometheus, Grafana, ELK stack, Cloudwatch, and optionally Grafana Observability Suite, Splunk, Datadog, PagerDuty, Rundeck, Ansible, Puppet, Chef. As an individual contributor, you'll run production, improve reliability, and support multiple large distributed software applications for NiCE, a provider of customer experience, financial crime, and public safety software.

You will build and operate a Kubernetes platform on Azure using Terraform, GitOps, service mesh, and observability tools like Grafana and OpenTelemetry. The platform underpins AI and automation services for a large-scale enterprise, supporting multiple engineering teams. This is a hands-on role covering infrastructure as code, CI/CD, networking, and platform reliability.

Work with AWS, Kubernetes, Docker, Terraform, CloudFormation, Python, Go, Jenkins, GitLab CI/CD, Prometheus, and Grafana. You will run production environments, build and automate infrastructure, and improve reliability for NICE’s suite of distributed software solutions.

Infrastructure engineers at Writer use AWS, GCP, Azure, Kubernetes, Helm, Terraform, Python, and Go to build resilient, automated systems for the company’s enterprise AI platform. The role ensures 24/7 availability and reliability for customers like Mars and Marriott. The team reports to a director of engineering.

JPMorgan★3.9 (20k)· London

Works with AWS, Python, Grafana, Dynatrace, Prometheus, Datadog, Splunk, Jenkins, GitLab, Terraform, ECS, Kubernetes, and Docker. As a lead on the Infrastructure Platforms team, you improve reliability and stability of applications/platforms, conduct resiliency design reviews, and mentor engineers.

You'll work with Azure, Kubernetes (AKS), Terraform, GitHub Actions, Prometheus, Grafana, and PowerShell to build and maintain the Azure platform and CI/CD for a 100-person fintech. As the third member of the Platform team, you'll support a 10-person dev team by improving infrastructure and making the platform easier for them to use.

Apple★4.1 (14k)· London

Work with Kubernetes (GKE/EKS), GCP/AWS, Java, Swift, Python, or TypeScript, Nginx, Envoy, Prometheus, Docker, Terraform, Pulumi, and CI/CD pipelines. The SRE team supports Private Cloud Compute (PCC), Apple's privacy-preserving cloud intelligence platform, ensuring availability and automation of critical systems.

Wipro★3.8 (17k)· London

Lead design and build-out of a managed container environment, migrating existing VM-based infrastructure (likely Kube, an internal Kubernetes/EKS cluster); work with Docker, Terraform, Ansible, RHEL, Bash, Python, and tooling like Prometheus, Grafana. The team at Wipro manages EMEIA cloud infrastructure and internal system connectivity.

Own the build, test, and CI flows for the DX-1 accelerator’s software stack (compiler, runtime, simulator, framework integration) using Python, a systems language, containers, Linux, AWS, and metrics stores like Prometheus/Grafana or Datadog. You will manage heterogeneous CI runner fleets and scarce hardware-in-the-loop test resources for a team that includes compiler, runtime, simulator, and modelling engineers.

You will work with AWS and Amazon EKS, automating infrastructure with Terraform and building CI/CD with GitHub Actions, GitLab CI/CD, ArgoCD, and GitOps. Scripting is in Python and Bash/Shell, using Helm, Kustomize, Prometheus, Grafana, and the ELK stack. The team supports production AWS/EKS environments for a leading gaming company.

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.

Lightning AI seeks AI Platform Support Engineers to support ML engineers running large-scale training and inference workloads on Kubernetes and GPU platforms. You'll diagnose distributed PyTorch failures, GPU orchestration issues, and infrastructure problems using tools like Prometheus and Grafana, while partnering with customer engineering teams on production reliability. Required: strong systems troubleshooting, Kubernetes experience, Linux expertise, hands-on ML infrastructure operations with PyTorch and CUDA, and excellent communication with technical customers.

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.

IG Group★2.7 (13)· London

Design and architect scalable AWS infrastructure using Terraform, managing Kubernetes environments (EKS, AKS, GKE) and building CI/CD pipelines. You will join the Platform Engineering team responsible for delivering a self-service cloud and containers platform to support business applications.

JPMorgan★3.9 (20k)· London

You will build the next generation global-scale core banking platform using Go, Python, and/or Java, Kubernetes, Terraform, and cloud-native technologies, developing microservices, integrations, dashboards, and CI/CD pipelines. You will work on the Global Banking Platform team at JPMorgan Chase, with an initial secondment to a FinTech partner.

Work with Dynatrace (OneAgent, ActiveGates, PurePath, Smartscape), AWS, Kubernetes, Docker, Java, Angular, Python, Shell, and OpenTelemetry. Lead design and optimization of application performance monitoring for enterprise systems in cloud and microservices architectures.

Work with AWS (EC2, EKS, Lambda, S3, IAM, VPC, CDK), Terraform, Kubernetes, Docker, LLM orchestration frameworks (LangChain, Temporal), and AIOps tools like Datadog and Prometheus. As part of Goldman Sachs’ Cloud Engineering & Architecture team, you will architect and build an enterprise-grade platform enabling secure public cloud usage across the firm. This hands-on senior leadership role involves defining technical standards, driving large-scale platform initiatives, and mentoring engineers.