11+ Office 365 Jobs in Chennai | Office 365 Job openings in Chennai

Job Summary

We are looking for an experienced Defender Antivirus Engineer with 3–8 years of experience in endpoint security and Microsoft security solutions. The ideal candidate should have strong hands-on experience with Microsoft Defender, Microsoft Sentinel, Intune, and Office 365 to manage enterprise endpoint protection, security monitoring, device management, and incident response. The candidate will play a key role in ensuring the organization's security posture through proactive monitoring, threat detection, and endpoint compliance.

Key Responsibilities

• Administer and manage Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Configure, monitor, and maintain Microsoft Sentinel for security monitoring, threat detection, and incident response.
• Manage endpoint devices, policies, and compliance using Microsoft Intune.
• Administer and support Microsoft 365 (Office 365) services, including security configurations.
• Monitor security alerts, investigate incidents, and perform root cause analysis.
• Perform vulnerability assessments and coordinate remediation activities.
• Ensure endpoint protection policies, antivirus updates, and security compliance are maintained.
• Implement security best practices for endpoint and cloud environments.
• Troubleshoot endpoint security, device management, and Microsoft 365-related issues.
• Collaborate with infrastructure, cloud, and security teams to enhance enterprise security.

Required Skills

• Strong hands-on experience with Microsoft Defender for Endpoint and Microsoft Defender Antivirus.
• Experience administering Microsoft Sentinel (SIEM/SOAR).
• Good knowledge of Microsoft Intune for endpoint and device management.
• Experience with Microsoft 365 / Office 365 Administration.
• Knowledge of endpoint security, threat detection, and incident response.
• Experience with security monitoring, vulnerability management, and compliance.
• Good understanding of Windows Server and Windows endpoint administration.
• Strong troubleshooting and analytical skills.
• Excellent communication and problem-solving abilities.

Dear Candidates,

Exp: 3+ years

NP: Immediate to 7 days

Location: Bangalore, Chennai

5 days week

Job Description

Function: Software Engineering → Full-Stack Development

Fintech/BFSI domain experience.

• React.js
• Node.js
• AWS

 Requirements:

• Mandatory Skill: Strong Experience in React JS, Node JS, and AWS -3+ years of relevant experience from Current Projects.
• Expertise with at least one Object-oriented JavaScript Framework (React, Angular, Ember, Dojo, Node, etc. ).
• Good to have hands-on experience in Python development.
• Proficiency with Object Oriented Programming, multi-threading, data serialization, and REST API to connect applications to back-end services.
• Proficiency in Docker, Kubernetes (k8s), Jenkins, and GitHub Actions is essential for this role.
• Proven cloud development experience AWS.
• Understanding of IT life cycle methodology and processes.
• Experience in understanding and Leading Enterprise Platforms/Solutions.
• Experience working with Microservices/Service Oriented Architecture Frameworks.
• Good Understanding of Middleware technologies.
• Possess expertise in at least one unit testing framework.
• Education: Avoid UG Degree alone and look only at B. E/B. Tech/MCA/M. Sc.

🎯 Ideal Candidate Profile:

This role requires a seasoned engineer/scientist with a strong academic background from a premier institution and significant hands-on experience in deep learning (specifically image processing) within a hardware or product manufacturing environment.

📋 Must-Have Requirements:

Experience & Education Combinations:

Candidates must meet one of the following criteria:

• Doctorate (PhD) + 2 years of related work experience
• Master's Degree + 5 years of related work experience
• Bachelor's Degree + 7 years of related work experience

Technical Skills:

• Minimum 5 years of hands-on experience in all of the following:
• Python
• Deep Learning (DL)
• Machine Learning (ML)
• Algorithm Development
• Image Processing
• 3.5 to 4 years of strong proficiency with PyTorch OR TensorFlow / Keras.

Industry & Institute:

• Education: Must be from a premier institute (IIT, IISC, IIIT, NIT, BITS) or a recognized regional tier 1 college.
• Industry: Current or past experience in a Product, Semiconductor, or Hardware Manufacturing company is mandatory.
• Preference: Candidates from engineering product companies are strongly preferred.

ℹ️ Additional Role Details:

• Interview Process: 3 technical rounds followed by 1 HR round.
• Work Model: Hybrid (requiring 3 days per week in the office).

Based on the job description you provided, here is a detailed breakdown of the Required Skills and Qualifications for this AI/ML/LLM role, formatted for clarity.

📝 Required Skills and Competencies:

💻 Programming & ML Prototyping:

• Strong Proficiency: Python, Data Structures, and Algorithms.
• Hands-on Experience: NumPy, Pandas, Scikit-learn (for ML prototyping).

🤖 Machine Learning Frameworks:

• Core Concepts: Solid understanding of:
• Supervised/Unsupervised Learning
• Regularization
• Feature Engineering
• Model Selection
• Cross-Validation
• Ensemble Methods: Experience with models like XGBoost and LightGBM.

🧠 Deep Learning Techniques:

• Frameworks: Proficiency with PyTorch OR TensorFlow / Keras.
• Architectures: Knowledge of:
• Convolutional Neural Networks (CNNs)
• Recurrent Neural Networks (RNNs)
• Long Short-Term Memory networks (LSTMs)
• Transformers
• Attention Mechanisms
• Optimization: Familiarity with optimization techniques (e.g., Adam, SGD), Dropout, and Batch Normalization.

💬 LLMs & RAG (Retrieval-Augmented Generation):

• Hugging Face: Experience with the Transformers library (tokenizers, embeddings, model fine-tuning).
• Vector Databases: Familiarity with Milvus, FAISS, Pinecone, or ElasticSearch.
• Advanced Techniques: Proficiency in:
• Prompt Engineering
• Function/Tool Calling
• JSON Schema Outputs

🛠️ Data & Tools:

• Data Management: SQL fundamentals; exposure to data wrangling and pipelines.
• Tools: Experience with Git/GitHub, Jupyter, and basic Docker.

🎓 Minimum Qualifications (Experience & Education Combinations):

Candidates must have experience building AI systems/solutions with Machine Learning, Deep Learning, and LLMs, meeting one of the following criteria:

• Doctorate (Academic) Degree + 2 years of related work experience.
• Master's Level Degree + 5 years of related work experience.
• Bachelor's Level Degree + 7 years of related work experience.

⭐ Preferred Traits and Mindset:

• Academic Foundation: Solid academic background with strong applied ML/DL exposure.
• Curiosity: Eagerness to learn cutting-edge AI and willingness to experiment.
• Communication: Clear communicator who can explain ML/LLM trade-offs simply.
• Ownership: Strong problem-solving and ownership mindset.

• Must have 6+ years of experience in C/C++ programming language.
• Knowledge of Go programming language and Python programming language is a big plus.
• Strong background in L4-L7 Internet Protocols TCP, HTTP, HTTP2, GRPC and HTTPS/SSL/TLS.
• Background in Internet security related products such as Web Application Firewalls, API Security Gateways, Reverse Proxies and Forward Proxies
• Proven knowledge of Linux kernel internals (process scheduler, memory management, etc.)
• Experience with eBPF is a plus.
• Hands-on experience in cloud architectures (SaaS, PaaS, IaaS, distributed systems) with continuous delivery
• Familiar with containerization solutions like Docker/Kubernetes etc.
• Familiar with serverless technologies such as AWS Lambda.
• Exposure to machine learning technologies and distributed systems is a plus
• B.E/B.Tech/MS degree in Computer Science, or equivalent

Purpose

 To design, develop, test, and maintain integrated software applications, systems, and platforms

 Responsible for ensuring that the software created is reliable, scalable, and secure

 The candidate should use his/her expertise to maintain enterprise wide upstream and downstream integration

solutions that help organizations achieve their business goals and provide value to end-users

Key Accountabilities

Responsibilities will include but will not be restricted to:

 Designing and developing solutions at middleware and integration layer

 Ensure the best standards are followed for integrating with multiple upstream and downstream

applications

 Documenting and Developing APIs which are fault tolerant, performance oriented and allow for publishing

across multiple sources

 Ensure management of the interfaces on the WSO2 EI platform

 Ensure continuous monitoring, troubleshooting, and debugging

 Ensuring that the integrations development is part of the overall CI/CD pipeline

 Working with stakeholders to ensure that integration solutions meet business requirements and are

delivered on time

Technical Requirements

 A Bachelor’s degree in Computer science, software engineering, or any other equivalent field

 Has 6+ years of experience in the field of software engineering or software development

 Experience with WSO2 middleware technologies like WSO2 Enterprise Integrator (EI), WSO2 API Manager,

and WSO2 Identity Server

 Experience in developing multiple type interfaces such as SOAP, REST, WebHooks, GraphQL and having

knowledge of working on changing one type to other

 Software development skills including proficiency in a modern programming language such as

Java/C++/Python/Golang.

 The ideal candidate should have worked on application development within an enterprise ecosystem.

 The person should also have the necessary knowledge to connect to systems like mail, DB, external

systems, or APIs etc.

 Ideally the person should have demonstrated creating common interfaces or adapters for interactions

between heterogeneous systems with least amount of code change or no code change at all on both the

integrating systems.

 The person needs to be hands on and should be able to write code and review the code of teammates.

Desired Personal Qualities and Behavior

 Excellent relationship management skills with the ability to engage, negotiate and manage key

stakeholders and suppliers.

 Excellent communication, interpersonal and influencing skills.

1. To ANALYZE Business Requirements end-to-end & Documenting Requirements
2. Write Good User Stories (Preferably using INVEST techniques)
3. Specify acceptance criteria for features and user stories to ensure delivery of requirements that meet or exceed the business needs 
4. Create wireframe prototypes, Mockups and documenting them using Visio or similar tools
5. Document requirements by creating use cases, functional and requirement specifications documents
6. Collaborate with internal teams to ensure proper documentation of the product capabilities
7. Own the Product backlog, elaborating and prioritizing user stories to be included in the backlog 
8. Presenting the product capabilities, gathering requirements and identifying gaps 
9. Interface with clients and partners to understand business environments, current and future requirements; participate as a solutions expert
10. Roadmap prioritization, conceptualize new product features, and assist with competitive positioning