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Job Title : IBM MQ Administrator

Experience : 8+ Years

Locations : Bangalore / Pune / Hyderabad

Positions Open : 5

Shift Timings :

• 07:00 AM – 04:00 PM IST
• 02:00 PM – 11:00 PM IST
• 10:30 PM – 07:30 AM IST (Night Shift)

Work Mode : Hybrid (3 Days Work from Office)

Job Summary :

We are seeking experienced and skilled IBM MQ Administrators to join our team.

The ideal candidate will have a deep understanding of IBM MQ, IBM WebSphere, and associated middleware technologies.

This role involves managing and maintaining the messaging infrastructure to ensure secure, efficient, and reliable communication between applications across the enterprise.

Key Responsibilities :

• Administer, monitor, and support IBM MQ infrastructure.
• Manage and troubleshoot IBM WebSphere, Tomcat, JBoss, and Apache environments.
• Configure and maintain AppConnect integrations.
• Perform regular system health checks, maintenance, upgrades, and patch management.
• Monitor message queues, logs, and system performance for timely issue resolution.
• Work in a multi-shift environment and provide on-call support as needed.
• Collaborate with application and infrastructure teams to support deployments and troubleshooting.

Must-Have Skills :

• IBM MQ Administration
• IBM WebSphere
• Apache Tomcat
• AppConnect
• JBoss
• Apache HTTP Server

Good-to-Have Skills :

• IBM WebSphere Application Server (WAS)
• Microsoft IIS

You will be at the forefront of Byteridge's AI infrastructure capabilities, helping customers unlock the full potential of foundation models through expert-level deployment on GPU infrastructure.

This highly technical role requires deep expertise in machine learning infrastructure, GPU optimization, and production ML systems, combined with the ability to translate complex technical concepts into customer success.

What You'll Do

Model Deployment & Optimization

• Lead end-to-end deployments of large language models on AWS infrastructure for strategic

customers

• Design and implement training, fine-tuning, and inference pipelines using Amazon SageMaker AI

• Optimize model performance through GPU-level tuning, kernel optimization, and infrastructure

configuration

• Deploy models on diverse GPU architectures including NVIDIA and AWS custom silicon (Trainium,

Inferentia)

Infrastructure Architecture & Performance

• Architect scalable ML infrastructure using SageMaker AI Inference, HyperPod, and distributed

training frameworks

• Implement CUDA-level optimizations and custom kernels for improved model performance

• Design storage and networking architectures optimized for high-throughput ML workloads

• Troubleshoot and resolve complex performance bottlenecks at the GPU driver and kernel level

Customer Engagement & Technical Leadership

• Partner with AWS AI Specialist Solution Architects and customer ML teams to understand model

requirements and deployment constraints

• Provide technical guidance on model selection, fine-tuning strategies, and production best practices

• Conduct performance benchmarking and cost optimization analysis for ML workloads

• Share field insights with AWS product teams to influence infrastructure and service roadmaps

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience (Master's or

PhD preferred)

• 5+ years of experience in machine learning infrastructure, model deployment, or GPU computing

• Strong programming skills in Python and experience with ML frameworks (PyTorch, TensorFlow, JAX)• Deep understanding of LLM architectures, training methodologies, and inference optimization

Technical Expertise (High-Level Alignment)

• Hands-on experience training, fine-tuning, or deploying large language models in production

• Proficiency with GPU programming, CUDA, and kernel-level optimization techniques

• Experience with distributed training frameworks and multi-GPU/multi-node orchestration

• Strong knowledge of AWS core services: EC2 (GPU instances), S3, EFS, VPC, and networking

Preferred Experience

• Direct experience with Amazon SageMaker AI (Training, Inference, HyperPod) or equivalent ML

platforms

• Understanding of GPU architectures (NVIDIA A100, H100) and AWS custom silicon (Trainium,

Inferentia)

• Experience with model compression techniques (quantization, pruning, distillation)

• Knowledge of MLOps practices, model monitoring, and production ML system design

• Background in high-performance computing, distributed systems, or systems programming

Essential Attributes

• Ability to dive deep into technical problems and debug complex infrastructure issues

• Strong analytical skills with data-driven approach to optimization

• Excellent communication skills to explain complex technical concepts to diverse audiences

• Comfortable working in ambiguous, fast-paced environments with evolving requirements

• Ownership mindset with ability to drive projects from architecture to production

Test Automation & Framework Development

• Design, develop, and maintain scalable web UI automation frameworks using Playwright (TypeScript / Python / JavaScript) following Page Object Model (POM) architecture
• Implement parallel execution, retry strategies, flaky test analysis, and test isolation for reliable, stable test runs
• Create and manage shared utilities — logging, test data handling, Microsoft Teams/Slack integrations, and HTML/Allure reporting
• Define coding standards, perform code reviews, and onboard team members to the automation framework

CI/CD & Pipeline Integration

• Configure and maintain GitHub Actions workflows for automated test execution — integrate with CI pipelines for reporting, failure screenshots, and alerting
• Set up Git-event-driven test triggers and post structured test result summaries to collaboration channels
• Work with shell scripting and Docker basics to support pipeline reliability and scalability

AI Agent Development & Integration

• Contribute to AI-native test automation pipelines leveraging LLM APIs (Claude API / OpenAI) — including intelligent test selection, auto test generation via Playwright Codegen, and automated defect reporting
• Build or support autonomous agent workflows with multi-step reasoning, tool use, and integration with external APIs (GitHub, Jira, REST APIs)
• Develop and refine prompt engineering strategies to build reliable, deterministic agent behavior
• Deploy and monitor AI agents via FastAPI or serverless functions; handle edge cases and output validation

Quality & Reporting

• Perform functional, regression, smoke, and end-to-end test coverage for web platforms
• Manage test data setup and teardown; generate Allure reports and share structured summaries with stakeholders
• Analyze test failures, identify root causes, and drive continuous improvement of test coverage and quality processes

Automation & Testing

• Strong proficiency in Playwright (TypeScript / Python / JavaScript) for web UI automation
• Solid understanding of Page Object Model (POM) and scalable framework design principles — must have designed frameworks, not just written scripts
• Familiarity with BDD frameworks such as Cucumber
• Experience with test runners: pytest or Playwright Test Runner
• Hands-on experience with Selenium WebDriver is a plus

Languages & Tools

• Proficient in TypeScript and/or Python; familiarity with JavaScript is a plus
• Experience with GitHub Actions and CI/CD pipeline configuration hands-on YAML writing required
• Working knowledge of Shell / Bash scripting
• Familiarity with REST API testing and integrations with tools like GitHub and Jira

AI & LLM Exposure

• Working knowledge of LLM APIs (Claude API / OpenAI) for building AI-powered automation or agent workflows
• Hands-on experience with prompt engineering for reliable, structured agent outputs
• Exposure to MCP (Model Context Protocol) or agent skill-based design patterns
• Familiarity with FastAPI for deploying lightweight agent services

Soft Skills

• Strong debugging, analytical, and problem-solving skills — must be able to diagnose failures live
• Ability to independently own modules and drive projects with minimal supervision
• Good communication skills; ability to write structured summaries and documentation for both technical and non-technical stakeholders

Role - Principle Engg | Reactjs

Skill Set - Programming

• React js with Redux,
• HTML5/CSS3
• Javascript
• Mobx (optional)
• Storybook (optional)

Unit Test Cases: Jest & Enzyme

Code Quality:

• SonarQube Knowledge
• Strong hold on unit-testing frameworks and writing effective unit tests

Other Important Skills:

• Engineering & Design Skills
• Good analytical & problem solving skills
• Ability to ship features end to end without much guidance
• Experienced with Agile methodologies

Soft Skills

• Good communication skills
• Zeal to learn new technologies & Methodologies

• Create and execute a strategic sales plan that expands our customer base and extends the company's global reach
• Meet with potential clients and grow long-lasting relationships that address their needs
• Recruit sales representatives, set objectives, train and coach them, and monitor their performance
• Identify knowledge gaps within the team and develop plans for filling them
• Ensure that company quotas are met by holding daily check-ins with sales team to set objectives and monitor progress
• Manage the month-end and year-end close processes
• Five or more years of experience in managing sales in a corporate setting
• Proven record of success with the entire sales process, from planning to closing
• Excellent communication, interpersonal, and organizational skills
• Superb leadership ability
• Candidate can join immediately

Minimum 7 years of experience in Salesforce Sales & CPQ Cloud or any other CPQ Product

Skills

• Experience with full cycle project implementations in Salesforce CPQ required.
• Strong Salesforce CPQ functional & technical knowledge
• Strong experience in configuring & customizing Salesforce CPQ application
• Experience in customized CPQ integration with CRM/ERP applications
• In depth knowledge in product configuration & rules, commerce process, document engine and pricing functionality in CPQ
• Strong experience in Agile way of working
• DevOps practitioner with Bitbucket, Git and CI/CD experience
• Good understanding and exposure to Salesforce DX
• Proven knowledge of business process and its KPIs, including best practices to support the relevant business processes
• Good Communication, Analytical & problem-solving skill

Key Responsibilities : ( Data Developer Python, Spark)

Exp : 2 to 9 Yrs 

Development of data platforms, integration frameworks, processes, and code.

Develop and deliver APIs in Python or Scala for Business Intelligence applications build using a range of web languages

Develop comprehensive automated tests for features via end-to-end integration tests, performance tests, acceptance tests and unit tests.

Elaborate stories in a collaborative agile environment (SCRUM or Kanban)

Familiarity with cloud platforms like GCP, AWS or Azure.

Experience with large data volumes.

Familiarity with writing rest-based services.

Experience with distributed processing and systems

Experience with Hadoop / Spark toolsets

Experience with relational database management systems (RDBMS)

Experience with Data Flow development

Knowledge of Agile and associated development techniques including:

n 

https://polyglots.io">Polyglots is a young and innovative software development agency located in Pune, India. Our expertise is to build highly scalable applications and infrastructure solutions for our partners and budding startups.

We provide end-to-end solutions ranging from cloud architecture to backend services and modern frontend development. We leverage agile methodologies, software life cycle best practices and cutting edge technology to deliver perfect solutions reflecting our passion for software development.

We care about our company culture and invest in people to create the best teams of highly skilled developers. 

We are looking for a Fullstack Developer who is motivated to combine the art of software design with the skill of programming. Responsibilities will include translation of the business requirements to actual code that will produce a flexible and scalable cloud application. You will guide the team on technical implementations, take an active role on both sides i.e frontend + backend and define how the application works.

• Develop and design RESTful/GraphQL services and APIs.
• Develop databases, applications, and servers to support websites on the back end.
• Develop visually appealing front end website architecture, including translating designer mock-ups and wireframes into front-end code.
• Design user interactions on web pages
• Stay up to date of developments in web applications and programming languages
• Strategize organizational direction on emerging technology platforms and communicate the effectiveness to executive stakeholders
• Ensure that non-functional requirements such as security, performance, maintainability, scalability, usability, and reliability are being considered when architecting solutions.

• Proficiency in Java along with Spring Boot.
• Proficiency with fundamental front end languages such as HTML, CSS and JavaScript.
• Familiarity with JavaScript frameworks such as Angular, React or VueJS.
• Familiarity with database technology such as Postgres, MySQL, Oracle and MongoDB.
• Well versed with Data Structures and common Design Patterns.
• Strong organizational and project management skills.
• Excellent verbal communication skills.
• Good problem solving skills.
• Attention to detail.