DevOps Engineer – AI Search Infrastructure

October 28

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Relativity

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Artificial Intelligence • Enterprise • SaaS

Relativity is a technology company that provides cloud-based software solutions for data discovery, e-discovery, data breach response, contract analysis, and privacy management. Their products, powered by artificial intelligence, offer proactive security and legendary support to help organizations manage sensitive data. Relativity is trusted by thousands of organizations, including law firms, corporations, and government agencies, to organize data, discover truth, and act on it effectively and efficiently. Their end-to-end solutions streamline data discovery from collection to review and production, utilizing tools like RelativityOne, Relativity aiR for AI-driven legal challenges, and custom solutions through the Relativity App Hub. Relativity is committed to offering secure, flexible solutions with a strong focus on customer support and strategic partnerships.

1001 - 5000 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• 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.

🎯 Requirements

• 3+ 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 (e.g. OpenSearch, Solr) • 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 performance optimization • Problem-solving mindset, strong communication skills, and collaborative approach to infrastructure challenges.

🏖️ Benefits

• competitive base salary • annual performance bonus • long-term incentives