Engineer II, Software Infrastructure (R3493)

Dallas, Texas, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Defense Technology, Artificial IntelligenceIndustries

Requirements

Candidates should possess a Bachelor’s degree in computer science or a related engineering field, along with a minimum of 2 years of professional experience. They must have experience with infrastructure-as-code tools such as Terraform, Pulumi, Azure ARM, CloudFormation, or Crossplane, and experience with configuration management tools like Ansible, Chef, or Puppet. Demonstrated proficiency in continuous integration/delivery tools such as Github Actions, ADO, or TeamCity is required, as is DevOps experience with a cloud service like Google, Azure, or AWS. Knowledge of APIs, web services, and identity access management, containers (Docker, Podman, etc.), scripting languages (Bash, Python), and Git is also necessary. Furthermore, familiarity with monitoring tools like Grafana, Datadog, Splunk, Prometheus, ELK, and system administration in Linux are required.

Responsibilities

As a Hivemind Software Engineer, you will design and implement engineering-centric automation across the organization, working closely with the Software Operations team to maintain infrastructure-as-code. You will own all infrastructure-as-code for Hivemind, manage and maintain the monitoring tool stack, support AI engineers with infrastructure needs, and manage the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, AWS, Artifactory, Containers, K8s, etc. You will also work closely with the Developer Experience and Build & Release teams to improve engineer efficiency.

Skills

Infrastructure-as-code

Automation

Monitoring

Build infrastructure metrics

Containers

Kubernetes

Azure DevOps

AWS

Artifactory

Software Operations

Developer Experience

Problem-solving

Shield AI

Develops AI and autonomous systems for defense

About Shield AI

Shield AI specializes in creating artificial intelligence and autonomous systems specifically for the defense industry. The company develops AI-powered systems, including autonomous drones, that assist military operations, especially in environments where GPS and communication may not be available. This technology allows for safer and more efficient defense operations. Shield AI differentiates itself from competitors by focusing on advanced AI capabilities and securing significant contracts with government and military clients, such as the multi-billion dollar EWAAC contract. The company's goal is to enhance operational capabilities and safety in military contexts, ultimately aiming to protect lives through its innovative solutions.

San Diego, CaliforniaHeadquarters

2015Year Founded

$772.8MTotal Funding

DEBTCompany Stage

AI & Machine Learning, DefenseIndustries

501-1,000Employees