Sonata Software - Lead MLOps DevOps Engineer

Job Title : Lead MLOps DevOps Engineer.

Work Location : Bangalore, India.

Experience Range : 8 - 12 Years.

What We're Looking For :

This lead-level role owns the design and operation of MLOps and DevOps platforms that support reliable model build, test, deployment, and release workflows.

The position combines cloud-native infrastructure, container orchestration, automation, and production model serving to improve delivery speed, governance, and operational stability across machine learning environments.

Key Responsibilities :

• Design and operate scalable MLOps pipelines that support reliable build, test, deployment, and release processes for machine learning workloads.
• Lead the implementation of cloud-native infrastructure, container orchestration, and automation practices across development and production environments to improve scalability and repeatability.
• Establish monitoring, logging, and alerting standards for model and platform services to improve reliability, performance, and incident response.
• Partner with data science, engineering, and security teams to productionize machine learning workloads with governance, repeatability, and compliance.
• Define deployment standards for model serving, artifact promotion, and environment parity to reduce release risk and accelerate production adoption.
• Drive technical best practices, mentor engineers on platform automation patterns, and continuously improve delivery speed and operational efficiency.
• Strengthen secrets handling, access controls, and release governance across CI/CD and runtime environments to improve security and audit readiness.

Must-Have Skills :

• MLOps &
• Model Lifecycle : MLOps, Model deployment and serving.
• Cloud-Native Infrastructure &
• Orchestration : Containers, Kubernetes.
• Delivery Automation &
• Release Engineering : CI/CD pipelines, Artifact and package management.
• Infrastructure Provisioning &
• Security : Infrastructure as Code, Secrets management.
• Monitoring and observability.
• Python.

Technical Skills :

• Operating Systems &
• Scripting : Linux, Bash and Python.
• Version Control &
• Source Management : Gitlab, GitHub.
• Cloud Platforms : AWS (Amazon Web Services).
• Containerization &
• Deployment : Docker, Kubernetes.
• Infrastructure Automation &
• Configuration Management : Terraform, Ansible, CloudFormation.
• CI/CD Platforms : GitLab CI/CD.
• Observability Tools : DataDog or Dynatrace.
• MLOps Platforms &
• Workflow Orchestration : MLflow, Airflow, AWS SageMaker.
• Data &
• API Integration : SQL, REST APIs.
• Cloud Security &
• Access Control : IAM and cloud security controls.

Why Join This Opportunity?

• Own the platform layer that turns machine learning models into reliable production services.
• Influence DevOps and MLOps standards across build, deployment, observability, and governance workflows.
• Work at lead level on cloud-native automation and model-serving patterns that improve release speed and operational stability.