Chef De Partie

Senior PowerShell Automation Engineer (Microsoft 365 & Azure)

📍 Location: Open (Remote/Hybrid/Onsite based on requirement)

🧑‍💻 Experience: 4–8 Years

💼 Role Type: Automation + Engineering (80–85%) / Administration (20–25%)

About the Role

We are looking for a highly skilled and hands-on PowerShell Automation Engineer with strong experience working across Microsoft Cloud technologies, including Azure Active Directory (Entra ID), Microsoft 365, Intune, and Graph API. The ideal candidate will focus primarily on scripting, automation, custom development, and integration, with a smaller portion of day-to-day administration.

This role requires a deep technical mindset, strong analytical skills, and the ability to automate complex operational tasks, build reusable frameworks, and optimize cloud environments.

Key Responsibilities

• Develop and maintain advanced automation scripts using PowerShell.
• Build integrations using Microsoft Graph API for Microsoft 365 and Azure workloads.
• Automate user lifecycle management, compliance policies, security operations, and reporting.
• Implement automation for Entra ID, Intune, Exchange Online, SharePoint Online, and Teams provisioning.
• Perform configuration, optimization, and light administration of:
• Azure Active Directory / Entra ID
• Microsoft 365
• Intune / Endpoint Manager
• Develop automation workflows supporting CI/CD, cloud governance, and operational efficiency.
• Design and maintain database logic for automation tasks (SQL preferred).
• Troubleshoot complex issues across scripting, automation, and identity platforms.

Technical Skills Required

Primary (80–85% - Development & Automation)

✔ Strong hands-on PowerShell scripting and automation expertise

✔ Experience with Microsoft Graph / Graph API integrations

✔ CI/CD mindset for repeatable and scalable automation

✔ Database experience (SQL or any equivalent) for storing logs, metadata, and automation state

Secondary (20–25% - Administration)

✔ Administration knowledge in:

• Microsoft 365
• Azure Active Directory / Entra ID
• Intune / Endpoint Manager

✔ Experience with identity lifecycle management, conditional access, policies, and access governance

Preferred Skills (Good to Have)

• Experience with Azure Functions, Logic Apps, or automation frameworks
• Exposure to REST APIs, JSON, OAuth2, and tenant-level automation
• Familiarity with DevOps tools (Git, Azure DevOps, or GitHub Actions)

The Machine Learning Engineer will play a critical role in supporting Bell Techlogix clients by building, operating, and optimizing AI solutions in a managed services environment. This role focuses on delivering reliable, secure, and scalable AI capabilities across Microsoft AI platforms, Kore.ai conversational AI, and ServiceNow, while also supporting broader AI initiatives and the AI Center of Excellence. 

Key Responsibilities 

•Design, deploy, and support machine learning and AI solutions in production, SLA-driven managed services environments 

•Provide operational support for AI platforms including incident response, troubleshooting, and root cause analysis 

•Monitor AI and ML model performance, data quality, and drift; implement retraining and optimization strategies 

•Build and maintain MLOps pipelines supporting model training, validation, deployment, and rollback 

•Develop and support AI workloads using Microsoft Azure AI, Azure Machine Learning, Azure OpenAI, and Copilot extensibility 

•Design, train, and optimize virtual assistants enterprise workflows 

•Implement and support AI capabilities including Predictive Intelligence, Virtual Agent, and AI Search 

•Collaborate with service desk, engineering, security, and platform teams to drive automation and continuous service improvement 

•Act as a technical escalation point for AI-related client issues and enhancement requests 

•Contribute to AI innovation initiatives, proofs of concept, and reusable solution patterns within Bell Techlogix 

Required Qualifications 

•Bachelor’s degree in Computer Science, Data Science, Machine Learning, or equivalent practical experience 

•5+ years of experience in machine learning engineering, AI development, or applied data science 

•Strong proficiency in Python, SQL, and API-based integrations 

•Hands-on experience supporting machine learning models in production environments 

•Experience working in managed services, consulting, or enterprise IT environments 

•Strong understanding of cloud platforms (Microsoft Azure preferred) 

Preferred Qualifications 

•Experience with Azure Machine Learning, Azure AI Services, or Azure OpenAI 

•Hands-on experience with Kore.ai XO Platform or enterprise conversational AI 

•Experience implementing or supporting ServiceNow AI/ML, Predictive Intelligence, or Virtual Agent 

•Familiarity with MLOps, CI/CD pipelines, Infrastructure as Code (Terraform, Bicep, ARM) 

•Knowledge of Responsible AI, data governance, and enterprise security practices 

•Relevant certifications (Microsoft, ServiceNow, Kore.ai) 

Who we are looking for:
- We are looking for an experienced Fullstack Web Application developer.
- You have gained around 5+ years of experience in the implementation of professional web applications using MVC frameworks.
- You are good at and follow strict OO design principles. OOP (Object Oriented Programming).

You will need a high proficiency and experience of:
- PHP based frameworks and other Open Source Technologies.
- MySQL
- REST API / JSON
- GIT
- HTML5/CSS3/JS
- Bootstrap
- Linux
- Laravel / NuxtJS
- Vue.js / React
- Memcached / Redis
- Adhere to Clean Code: SOLID principles and follow TDD
- Design Patterns like Repository pattern.
- PHPUnit
- SSO
- WebRTC
- Socket.IO

About You:
- Proud of the work you do and always being the best you possibly can
- Self-motivated and work well without supervision
- Committed to meeting deadlines
- Security conscious
- Since there is often a need to engage directly with the US Team, it is essential that you are confident and articulative.
- Able to work directly with customers at different stages of the project life cycle
- Must be willing and able to work flexible hours to accommodate client schedules

- Able to work directly with customers at different stages of the project life cycle
- Must be willing and able to work flexible hours to accommodate client schedules

Perks and Benefits:

- Work from Home or your favorite Destination

Preference:

- Candidates closer to Pune are preferred.

Role

We are looking for an Associate Software Engineer - Java with experience in building high-performing, scalable, enterprise-grade applications.

Responsibilities

• Contribute in all phases of the development lifecycle
• Write well designed, testable, efficient code
• Ensure development is in compliance with specifications
• Prepare and produce releases of software components

Qualifications

• BSc/BE/BTech in Computer Science, Engineering, or a related field
• 2+ years Experience with Java
• Experience in Spring boot Framework
• Experience with REST- JSON, SOAP/XML is mandatory
• Proven working experience in Java development
• Experienced in Server Side Java, J2EE, Servlets, Spring/Spring boot, JAXB, JAX-WS, MySQL/PostgreSQL, Junit
• Knowledge of Relational Databases, SQL, and ORM technologies (JPA2, Hibernate).
• Hands-on experience in designing and developing applications using Java EE
• Platforms with Open Source Frameworks - Spring/Spring boot, XML, Integration with SOAP and RESTful Web Services, WS security.

1. We need strong SOL and PL/SQL skills
2. UI – any like Javascript, HTML, CSS. Oracle Apex is nice to have.
3. The candidates should have worked on live projects that have given them exposure to write code, unit test and deliver.
4. Having WebServices experience is a value add.
5. Exposure to complex enterprise applications, integrations etc would be really needed.

We're looking for someone to join a team dedicated to building performant APIs and backend services that deal with large volumes of data for the company's flagship, global consumer product. Small, high-impact teams require conscious planning and decision-making when it comes to design, architecture, and product features. So, it's essential that you enjoy working in such an environment.

We're a team that cares about simplicity and being able to build reliable, deterministic systems and platforms. Hence, our choice of tooling is usually battle-tested reliable software with a robust test suite.

How we work

1. You won't deal with the hustle culture. We're focused on building well-thought-out, stable and reliable software and we try our best to ensure everyone understands the big picture and the immediate goals.
2. We work a solid 6-8 hour days and don't slave away 24/7.
3. We're a remote engineering team. This makes effective communication extremely important. Our teams have benefitted greatly from good written communication. This includes everything from the product specification to the API spec. We spend a lot of time writing READMEs. As a result our engineers work with greater clarity and planning.
4. We deploy several times a day and rely on a good test suite to ensure we're not making life hard for our colleagues.
5. We don't expect anyone to know everything, but we are curious and learn along the way.
6. We learn about the fitness space and what it means to really be fit and not just Instagram fit.

The Python Backend Engineer position may be a good fit for you if:

1. You have 3 (or more) years of experience building and maintaining cloud applications.
2. You have built APIs with Python, Flask, Django or FastAPI before.
3. You have experience working with relational databases like PostgresSQL or MySQL and have spent time writing SQL queries for large datasets.
4. Experience in writing Unit tests with pytest.
5. You have worked with Docker, docker-compose.
6. Familiarity with the AWS ECS stack.

We want you to care about

1. Good object oriented design
2. Performant APIs
3. Analysing why queries are slow and how to go about improving them.
4. Understanding DNS, Load balancing, Caching and Hashing.
5. Customer data and privacy.

Our API Stack services use:

1. Python 3.8+, Typescript
2. FastAPI, Flask, HapiJs
3. PostgresSQL, MySQL
4. Redis
5. Celery
6. Pytest, Jest for unit testing.
7. Gitlab CI/CD
8. Amazon ECS container services