Key skills
PythonBashAIMLLLMAWSAzureGCPTerraformKubernetesDockerGitHub ActionsPulumiECSCloudFormationCloudWatchPrometheusGrafanaDatadogGitHubCI/CDCommunication
About this role
Neuracore is building the world's first robot learning cloud service, providing a comprehensive solution for robotics development. They are seeking a DevOps Engineer to streamline infrastructure, automate workflows, and enhance development efficiency, playing a crucial role in maintaining CI/CD pipelines and cloud infrastructure.
Responsibilities:
- Own and optimise our CI/CD pipelines (GitHub Actions), with a focus on reducing build times and PR turnaround
- Design and maintain automated workflows that accelerate the development lifecycle across the team
- Manage and improve our cloud infrastructure, ensuring reliability, scalability, and cost efficiency
- Keep our LLM-powered bot and other automated tooling up to date and running smoothly
- Implement and maintain infrastructure as code (Terraform, Pulumi, or similar)
- Set up and manage monitoring, alerting, and logging systems to ensure platform health
- Collaborate with engineers to identify and eliminate bottlenecks in the development process
- Manage container orchestration and deployment pipelines for our cloud services
- Establish and enforce security best practices across infrastructure and deployments
- Maintain and improve developer environments and tooling to maximise team productivity
Requirements:
- 3+ years of professional experience in a DevOps, SRE, or infrastructure engineering role
- Strong experience with CI/CD platforms, particularly GitHub Actions
- Proficiency with cloud platforms (AWS, GCP, or Azure), including compute, networking, and storage services
- Hands-on experience with infrastructure as code tools (Terraform, Pulumi, CloudFormation, or similar)
- Solid understanding of containerisation (Docker) and orchestration (Kubernetes or ECS)
- Experience with monitoring and observability tools (e.g. Datadog, Prometheus, Grafana, CloudWatch)
- Comfortable scripting in Python and/or Bash for automation tasks
- Strong understanding of networking, security, and Linux systems administration
- Excellent communication skills and a collaborative, team-first mindset
- Experience supporting ML/AI infrastructure or GPU-based workloads
- Familiarity with robotics or edge computing deployment pipelines