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Technologist, Software Development Engineering

Technologist, Software Development Engineering

Western Digital

10 - 14 years

35 - 40 Lacs

bengaluru

Posted:1 month ago| Platform:

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Skills Required

system architecture automation data analysis system integration system design application development test cases monitoring python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Position Overview

We are seeking a seasoned Senior AI Infrastructure Engineer specializing in AI-driven automation, Kubernetes orchestration, and containerized AI/ML workloads. This role focuses on architecting intelligent systems that leverage AI agentic workflows for automated product validation and testing at scale through advanced container orchestration.

Key Responsibilities

AI Workflow Architecture & Implementation

Design and implement AI-driven test creation systems that automatically generate comprehensive test cases using machine learning models and historical data analysis

Architect intelligent monitoring solutions leveraging AI/ML algorithms to predict system failures, optimize test coverage, and enable proactive issue resolution

Develop autonomous testing agents capable of adaptive test execution, self-healing infrastructure, and intelligent decision-making

Integrate large language models (LLMs), and AI decision-making frameworks into automated test orchestration workflows

Build AI pipelines that analyze product performance data to continuously improve validation strategies

Kubernetes & Container Orchestration

Design, implement, and optimize Kubernetes clusters specifically for AI/ML workloads and containerized testing environments

Develop custom Kubernetes operators and controllers for AI workflow management and automated container lifecycle operations

Architect scalable container orchestration solutions supporting both AI model inference and training workloads across diverse hardware configurations

Implement advanced Kubernetes patterns including multi-cluster management, resource optimization, and intelligent workload scheduling

Design container-native AI platforms with automated scaling, resource allocation, and performance optimization

Design and implement comprehensive monitoring solutions using Prometheus, Grafana, and related CNCF tools

Technical Leadership & AI System Architecture

Lead a team of 3-5 engineers specializing in AI/ML infrastructure, container platforms, and intelligent automation systems

Drive architectural decisions for complex AI-driven projects involving containerized workloads and intelligent system integration

Establish best practices for AI workflow development, container security, and MLOps processes

Mentor team members on advanced Kubernetes patterns, AI system design, and containerization strategies for ML workloads

Qualifications

Experience & Technical Skills

BE/B.Tech/ME/M.Tech degree in Electronics & Electrical Engineering, Computer Engineering or related field

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Technologist, Software Development Engineering