What you'll do: - Own all infrastructure-as-code for Hivemind - Own the monitoring tool stack, focusing on build infrastructure metrics - Own internal build containers used by all of the Hivemind organization - Support AI engineers with any infrastructure they need - Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, AWS, Artifactory, Containers, K8s, etc. - Work closely with the Developer Experience and Build & Release teams to improve engineer efficiency Required qualifications: - BS in computer science or related engineering field with 2+ years of professional experience. - Experience with infrastructure-as-code tools (Terraform, Pulumi, Azure ARM, CloudFormation, Crossplane). - Experience with configuration management tools (Ansible, Chef, Puppet). - Demonstrated proficiency in continuous integration/delivery (Github Actions, ADO, TeamCity, etc.). - DevOps experience with a cloud service (Google, Azure, AWS). - Knowledge of APIs, web services, and identity access management. - Knowledge of containers (Docker, Podman, etc.). - Knowledge of scripting languages (Bash, Python). - Knowledge of Git. - Knowledge of monitoring tools (Grafana, Datadog, Splunk, Prometheus, ELK, etc.). - System administration in Linux. - Desire to learn and grow on the job. Preferred qualifications: - Experience with a compiled programming language (e.g. C, C++, Rust, Go). - Experience owning build infrastructure. - Experience with container orchestration (Kubernetes, Nomad, Docker Swarm). - Ability to develop software, APIs, services, and tools - Proven experience owning a project from a simple idea to production product
Job Type
Onsite role
Skills required
Azure, C++, Docker
Location
San Diego Metro Area
Salary
No salary information was found.
Date Posted
June 21, 2025
Shield AI is seeking a Software Infrastructure Engineer to design and implement automation solutions for their Hivemind platform. The role involves maintaining infrastructure-as-code and collaborating with cross-functional teams to enhance operational efficiency.