Senior DevOps Engineer – AI Search Infrastructure

Posting Type

Hybrid

Job Overview

We are building a new team focused on reinventing how users search in our product. You'll be part of a team working on high-scale systems, building and maintaining reliable, cloud-native infrastructure that powers search functionality used in the justice system.

As a DevOps Engineer, you'll be responsible for designing, implementing, and maintaining the infrastructure and tooling that supports our distributed systems. You'll work with modern cloud technologies in a supportive, collaborative environment, with opportunities to grow your skills in scalable infrastructure and cluster management.

This is a great role for engineers who are passionate about infrastructure automation, want to work with high-performance distributed systems, and enjoy solving real-world operational challenges through code and best practices.

Job Description and Requirements

Your Role in Action 

• Write clean, maintainable automation code primarily in Python or Golang, with strong bash scripting skills 

• Design and maintain cloud infrastructure across one or more major cloud providers (AWS, Azure, or GCP) 

• Manage and optimize Elasticsearch clusters or similar distributed search/data platforms 

• Build and maintain Kubernetes infrastructure, with focus on running high-load production workloads 

• Implement infrastructure as code and automated deployment pipelines 

• Monitor, troubleshoot, and optimize system performance under heavy load conditions 

• Collaborate with engineering teams to improve observability, reliability, and scalability 

• Participate in capacity planning and performance testing for search infrastructure 

• Ensure production systems are highly available, secure, and cost-effective 

• Participate in on-call rotations as part of a team responsibility 

• Continuously improve automation, tooling, and operational practices 

Your Skills 

• 5+ years of hands-on experience with at least one major cloud provider (AWS, Azure, or GCP) 

• Strong programming skills in Python or Golang for automation and tooling 

• Advanced bash scripting capabilities for system administration and automation 

• Production experience managing Elasticsearch clusters or similar distributed systems (OpenSearch, Solr, etc.) 

• Extensive experience running production workloads on Kubernetes, including performance tuning and scaling 

• Deep understanding of containerization with Docker and container orchestration 

• Experience with Infrastructure as Code tools (Terraform, Bicep, Pulumi, or similar) 

• Strong knowledge of CI/CD pipelines and GitOps practices 

• Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack, or similar) 

• Understanding of networking, security, and cloud-native architecture patterns 

• Nice to have: experience with load testing tools, service mesh technologies, or database p