Neural is seeking a highly skilled DevOps Engineer to join our growing team on a contract basis. You will play a pivotal role in ensuring that our AI, geospatial, and data-intensive platforms are reliable, scalable, and secure. As we continue to build cutting-edge tools that leverage spatial intelligence and machine learning, your contribution will directly impact our ability to deliver performant applications and services to customers in real-time.

This role is suited for someone who thrives in complex infrastructure environments and enjoys building automation workflows, managing containerized systems, and optimizing deployments across hybrid or multi-cloud setups. The ideal candidate has experience deploying and managing microservices, maintaining infrastructure-as-code, and working with ML or geospatial workloads in production. You’ll work closely with engineers, scientists, and product stakeholders to ensure the platform infrastructure supports evolving project demands without compromising stability or performance.

This position offers the opportunity to build and scale core DevOps capabilities in a high-impact, agile team environment while supporting mission-critical applications across government, environmental, and commercial domains.

• Build, monitor, and maintain CI/CD pipelines for geospatial and ML-based applications.
• Manage containerized applications using Docker and Kubernetes across multiple environments.
• Automate infrastructure provisioning and configuration using Terraform, Ansible, or similar tools.
• Implement observability tooling (e.g., Prometheus, Grafana, CloudWatch) for proactive system monitoring.
• Collaborate with software and ML teams to streamline deployment of services and models.
• Optimize cloud infrastructure costs and performance (AWS, Azure, or GCP).
• Implement security best practices for data protection, access controls, and compliance.

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