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SONATA SOFTWARE LTD
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Bengaluru · On-site · 5-8 Yrs · 3 days ago
1 open role1 posted in 7d1 in 30d
Hiring: Engineering
Job description
Overview
Job Title : Lead MLOps DevOps Engineer.
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.
Qualifications
- 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.
- 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.
- 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.
- 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.
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Sonata Software - Lead MLOps DevOps Engineer at SONATA SOFTWARE LTD?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. SONATA SOFTWARE LTD may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Sonata Software - Lead MLOps DevOps Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Sonata Software - Lead MLOps DevOps Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this Sonata Software - Lead MLOps DevOps Engineer role at SONATA SOFTWARE LTD?
- This is a lead Sonata Software - Lead MLOps DevOps Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.