Senior DevOps Engineer

About Sirion

Sirion is the worlds leading AI–native Contract Lifecycle Management (CLM) platform, transforming how global enterprises manage their contracting journey. Powered by generative AI, Sirion delivers advanced extraction, conversational search, and AI-driven negotiation capabilities. With 7M+ contracts worth nearly $800B under management and consistent recognition from Gartner, IDC, and Spend Matters, Sirion continues to set the innovation benchmark for CLM.

Power the Future of AI & Why This Role Matters

Senior DevOps Engineer

experience supporting MLOps workflows

How You’ll Make an Impact

• Build, automate, and optimize deployment pipelines and cloud infrastructure across AWS and Azure / GCP
• Lead scalable automation initiatives, including IaC, monitoring, observability, and performance engineering.
• Design and support containerized environments using Docker, Kubernetes or 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 integration with databases such as PostgreSQL, MongoDB, Redis, Elastic Search, Vector DB ( Qdrant )
• Implement and maintain MLOps workflows (model deployment, monitoring, versioning) in partnership with AI/ML teams.
• Manage Kubernetes-based ML deployments using Kubeflow, MLflow, Seldon, KServe, or Vertex AI.
• Optimize

  GPU/compute utilization, caching, batching, and inference efficiency

  .
• Implement

  model performance monitoring

  (latency, drift, hallucination, accuracy, cost metrics).
• Troubleshoot performance bottlenecks related to

  model serving, embeddings, vector databases, and orchestration tools

• Collaborate with InfoSec and backend teams to ensure

  secure model deployments

  , PII protection & compliance
• Implement end-to-end ML lifecycle using MLflow/Kubeflow/Vertex AI/SageMaker.
• Strengthen monitoring, alerting, and performance analytics using tools such as Prometheus, Nagios, Hyperic, etc.

Skills & Experience You Bring to the Table

Education:

Experience & Technical Expertise:

• 6+ years of DevOps experience in a cloud-native SaaS environment.
• Strong experience with

  AWS & Azure

  , cloud administration, and infrastructure management.
• Expertise in container orchestration:

  Docker, Kubernetes, OpenShift

  .
• Hands-on automation experience with

  Jenkins, Ansible, Puppet, Chef, Terraform

  .
• Good exposure to

  FinOps

  for cloud cost optimization.
• Experience with messaging systems:

  Kafka, Pulsar

  .
• Strong knowledge of version control tools:

  GitLab, GitHub, SVN, Bitbucket

  .
• Proficiency in monitoring tools such as

  Prometheus, Hyperic, Nagios, Cacti, Munin, Ganglia

  , etc.
• Linux administration expertise (Ubuntu, Red Hat, CentOS).
• Experience with

  Java deployments

  , Apache Tomcat, and HTTP Server.
• Strong scripting skills using

  Python, Shell, Groovy, PowerShell

  .

• MLOps experience

  —model deployment, model lifecycle management, pipeline automation, and monitoring using tools like MLflow, Kubeflow, SageMaker, or equivalent.
• Ability to work in rotational shifts (Morning, General, Night).
• Tools Understanding: Qdrant, LiteLLM, Langfuse, Torchserve or Trition Inference Server, AWS Bedrock and IBM WatsonX

Commitment to Diversity and Inclusion

We are an equal opportunity employer committed to diversity and inclusion. We do not discriminate based on race, color, gender, religion, national origin, disability, veteran status, or any other protected characteristic. We provide reasonable accommodations as required by law. These principles guide all aspects of employment including recruitment, development, promotions, compensation, and workplace programs.