Job Specifications
About the Company
Our client is the world’s leading AI–native Contract Lifecycle Management (CLM) platform, transforming the end-to-end contracting journey for enterprises. With Agentic AI at the core, the platform’s extraction, conversational search, and AI-enhanced negotiation capabilities have revolutionized contracting across Fortune 500 companies like IBM, Coca Cola, Citi and GE. With more than 800 employees across the globe, comprising a team of AI engineers, legal experts, and researchers who are working relentlessly to build reliable and trustworthy CLM for businesses of tomorrow.
About the Role
We are seeking an experienced and highly skilled DevOps Engineer/Senior DevOps Engineer to strengthen our cloud, automation, and deployment ecosystem across our global SaaS platform. This role is critical to ensuring reliability, scalability, performance, and security across our environments. You will shape CI/CD pipelines, infrastructure automation, monitoring frameworks, and large-scale deployments across cloud-native and containerized architectures that support Sirion’s AI-led product ecosystem. This is a hybrid (3 days in office) role in Dallas.
Responsibilities
Build, automate, and optimize deployment pipelines and cloud infrastructure across AWS and Azure.
Lead scalable automation initiatives, including infrastructure-as-code, monitoring, observability, and performance engineering.
Design and support containerized environments using Docker, Kubernetes, and OpenShift.
Enhance deployment architecture, reliability, and operational efficiency through best-in-class DevOps practices.
Collaborate with Engineering, QA, and IT teams to ensure smooth deployments and timely issue resolution.
Establish governance for deployment specifications, documentation, and environment configurations.
Troubleshoot complex deployment issues and drive continuous improvement across systems and processes.
Support backend systems, Java deployments, and database integrations including MySQL and Oracle.
Strengthen monitoring, alerting, and performance analytics using tools such as Prometheus, Nagios, and Hyperic.
Required Skills
5+ years of DevOps experience in a cloud-native SaaS environment.
Ability to work rotational shifts including morning, general, and night schedules.
Exposure to FinOps practices for cloud cost optimization.
Preferred Skills
Linux administration expertise (Ubuntu, Red Hat, CentOS).
Strong experience with AWS and Azure cloud platforms and infrastructure management.
Expertise in container orchestration technologies including Docker, Kubernetes, and OpenShift.
Hands-on automation experience with Jenkins, Ansible, Puppet, Chef, and Terraform.
Experience with messaging systems such as Kafka and Pulsar.
Strong knowledge of version control tools including GitLab, GitHub, SVN, and Bitbucket.
Proficiency with monitoring tools such as Prometheus, Hyperic, Nagios, Cacti, Munin, and Ganglia + Prometheus, Grafana, ElasticSearch APM, PingDom & Nagios.
Experience with Java deployments, Apache Tomcat, and HTTP Server.
Strong scripting skills using Python, Shell, Groovy, and PowerShell.
MLOps experience including model deployment, lifecycle management, pipeline automation, and monitoring.
MongoDB, Qdrant, PostGress.