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Python Developer With Kubernetes

5-8 years
15 LPA – 25 LPA
10 June 18, 2025
Job Description
Job Type: Full Time Education: Bachelor's Degree In CS/IT/ELECTRONICS Skills: Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel

Job Title: Python Developer with Kubernetes
Requisition ID: 59932
Location: Bengaluru, India
Experience Required: 5–8 Years
Employment Type: Full-time
Work Model: On-site
Company: Wipro Limited


Mandatory Skills

  1. Python for Data Science

  2. RESTful API development

  3. AI/ML model deployment and integration

  4. CI/CD pipeline management

  5. Kubernetes and container orchestration


Role Purpose

  1. To deploy, monitor, and optimize AI/ML models in scalable, production-grade environments

  2. To contribute to end-to-end automation, framework development, and model lifecycle management

  3. To support performance tuning, storage configuration, and system observability

  4. To ensure high availability and reliability of deployed solutions within a Kubernetes infrastructure

  5. To collaborate across teams and lead initiatives to resolve latency, availability, and serving issues


Key Responsibilities

  1. Deploy AI/ML models to development and production environments with performance assurance

  2. Evaluate, size, and optimize models to reduce latency and improve resource utilization

  3. Develop custom deployment frameworks for models unsupported by standard tools

  4. Debug and monitor 4xx/5xx errors using Splunk and analyze system logs

  5. Use Grafana to track GPU utilization, serving metrics, and request handling performance

  6. Provide direct support to customers to address deployment and latency issues

  7. Design and manage CI/CD pipelines to automate the deployment lifecycle

  8. Deploy models effectively in Kubernetes clusters

  9. Create and manage Persistent Volume Claims (PVCs) for optimized storage usage

  10. Operate within a microservices architecture and ensure seamless integration

  11. Build automation tools and new frameworks to streamline deployments

  12. Conduct thorough performance testing to meet system throughput and latency benchmarks

  13. Lead a technical team while also independently managing mission-critical tasks


Performance Metrics

  1. Achieve 100% error-free implementation during onboarding, deployment, and pipeline execution

  2. Ensure adherence to release schedules and throughput targets as per CI/CD plans

  3. Maintain high-quality deliverables and meet customer satisfaction (CSAT) benchmarks

  4. Timely completion of certifications for continuous skill enhancement

  5. Submit 100% accurate and timely MIS and reporting documentation


Educational Qualifications

  1. Bachelor’s Degree in Computer Science, Data Science, or a related field

  2. Master’s Degree preferred for advanced AI/ML project involvement

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