Responsibilities
- Build automation solutions that improve the scalability, reliability, and consistency of production environments.
- Develop intelligent diagnostics, remediation workflows, and self-service tools for Engineering and Support teams.
- Investigate complex production issues, conduct root cause analysis, and drive long-term reliability improvements.
- Enhance monitoring, alerting, dashboards, and telemetry for system health, performance, and operational risk visibility.
- Partner with Engineering teams on observability standards, operational readiness, platform stability, and production support practices.
- Identify performance degradation and bottlenecks and recommend optimization strategies.
- Build and integrate reliability automation across AWS, Azure, CI/CD pipelines, deployment workflows, and cloud-native platforms.
- Use AI-enabled tools and emerging technologies to improve troubleshooting, knowledge management, operational workflows, and engineering efficiency.
Requirements
- 7+ years of experience in Software Engineering, Test Automation, Site Reliability Engineering, Production Engineering, Platform Engineering, DevOps, Performance Engineering, or a related technical discipline.
- Strong software development experience using Python, PowerShell, TypeScript, JavaScript, Java, C#, or similar programming languages.
- Experience troubleshooting complex production issues in large-scale, distributed, or SaaS environments.
- Experience conducting root cause analysis and implementing long-term remediation solutions.
- Experience building automation tools, operational workflows, reliability tooling, or engineering platforms.
- Experience with CI/CD pipelines, deployment automation, release processes, and AWS and/or Microsoft Azure environments.
- Preferred experience supporting enterprise SaaS platforms in production environments.
- Preferred experience with Datadog, Dynatrace, Splunk, New Relic, Azure Monitor, or Amazon CloudWatch.
- Preferred experience with infrastructure automation, platform engineering, cloud-native reliability practices, and AI-assisted engineering or intelligent troubleshooting workflows.
Benefits
- Hybrid work based in Denver, CO or Raleigh, NC, with expectations to be in the office at least 3 days a week.
- Collaborative and inclusive team environment with global partnership opportunities.
- Career development and meaningful stretch opportunities.
- Opportunity to work on AI-driven legal technology and customer-impacting reliability challenges.
Tech Stack
Categories
About Litera
Litera is trusted Legal AI that best unifies the practice and business of law, built on 30 years of legal expertise that no AI startup can shortcut, and engineered for the decades ahead. The company combines purpose-built legal technology with Lito, its award-winning Legal AI agent, to Raise The Bar™ for the legal profession worldwide. With AI solutions spanning legal drafting, document comparison, contract review, knowledge management, business development, and more, Litera serves over 15,000 global customers and 2.3 million daily users, including 99% of the AmLaw 100. Integrated directly into Microsoft 365 and Google Workspace across devices, Litera delivers the right data, in the right place, at the right time - reducing context-switching so lawyers can practice law, not manage tools, while winning more business, driving efficiency and the deeper client relationships that fuel sustainable growth. For more information, visit litera.com or follow us on LinkedIn.