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Job Role : Azure DevSecOps Engineer (Security-Focused)

Experience : 12 to 18 Years

Location : Preferably Delhi NCR (Hybrid); Remote possible with 1–2 office visits per quarter (Gurgaon)

Joining Timeline : Max 45 days (Buyout option available)

Work Mode : Full-time | 5 Days Working

About the Role :

We are looking for a highly experienced Azure DevSecOps Engineer with a strong focus on cloud security practices.

This role is 60–70% security-driven, involving threat modeling, secure cloud architecture, and infrastructure security on Azure using Terraform.

Key Responsibilities :

• Architect and maintain secure, scalable Azure cloud infrastructure using Terraform.
• Implement security best practices : IAM, threat modeling, network security, data protection, and compliance (e.g., GDPR).
• Build CI/CD pipelines and automate deployments using Azure DevOps, Jenkins, Prometheus.
• Monitor, analyze, and proactively improve security posture.
• Collaborate with global teams to ensure secure design, development, and operations.
• Stay updated on cloud security trends and lead mitigation efforts.

Mandatory Skills :

Azure, Terraform, DevSecOps, Cloud Security, Threat Modelling, IAM, CI/CD (Azure DevOps), Docker, Kubernetes, Prometheus, Infrastructure as Code (IaC), Compliance Frameworks (GDPR)

Preferred Certifications :

Certified DevSecOps Professional (CDP), Microsoft Azure Certifications

 Key Responsibilities

AI Model Development 

 - Design and implement advanced Generative AI models (e.g., GPT-based, LLaMA, etc.) to support applications across various domains, including text generation, summarization, and conversational agents.

 - Utilize tools like LangChain and LlamaIndex to build robust AI-powered systems, ensuring seamless integration with data sources, APIs, and databases.

Backend Development with FastAPI

 - Develop and maintain fast, efficient, and scalable FastAPI services to expose AI models and algorithms via RESTful APIs.

 - Ensure optimal performance and low-latency for API endpoints, focusing on real-time data processing.

Pipeline and Integration

 - Build and optimize data processing pipelines for AI models, including ingestion, transformation, and indexing of large datasets using tools like LangChain and LlamaIndex.

 - Integrate AI models with external services, databases, and other backend systems to create end-to-end solutions.

Collaboration with Cross-Functional Teams

 - Collaborate with data scientists, machine learning engineers, and product teams to define project requirements, technical feasibility, and timelines.

 - Work with front-end developers to integrate AI-powered functionalities into web applications.

Model Optimization and Fine-Tuning

 - Fine-tune and optimize pre-trained Generative AI models to improve accuracy, performance, and scalability for specific business use cases.

 - Ensure efficient deployment of models in production environments, addressing issues related to memory, latency, and resource management.

Documentation and Code Quality

 - Maintain high standards of code quality, write clear, maintainable code, and conduct thorough unit and integration tests.

 - Document AI model architectures, APIs, and workflows for future reference and onboarding of team members.

Research and Innovation

 - Stay updated with the latest advancements in Generative AI, LangChain, and LlamaIndex, and actively contribute to the adoption of new techniques and technologies.

 - Propose and explore innovative ways to leverage cutting-edge AI technologies to solve complex problems.

Required Skills and Experience

Expertise in Generative AI 

Strong experience working with Generative AI models, including but not limited to GPT-3/4, LLaMA, or other large language models (LLMs).

LangChain & LlamaIndex 

Hands-on experience with LangChain for building language model-driven applications, and LlamaIndex for efficient data indexing and querying.

Python Programming 

Proficiency in Python for building AI applications, working with frameworks such as TensorFlow, PyTorch, Hugging Face, and others.

API Development with FastAPI 

Strong experience developing RESTful APIs using FastAPI, with a focus on high-performance, scalable web services.

NLP & Machine Learning 

Solid foundation in Natural Language Processing (NLP) and machine learning techniques, including data preprocessing, feature engineering, model evaluation, and fine-tuning.

Database & Storage Systems Familiarity with relational and NoSQL databases, data storage, and management strategies for large-scale AI datasets.

Version Control & CI/CD 

Experience with Git, GitHub, and implementing CI/CD pipelines for seamless deployment.

Preferred Skills

Containerization & Cloud Deployment 

Familiarity with Docker, Kubernetes, and cloud platforms (e.g., AWS, GCP, Azure) for deploying scalable AI applications.

Data Engineering 

Experience in working with data pipelines and frameworks such as Apache Spark, Airflow, or Dask.

Knowledge of Front-End Technologies Familiarity with front-end frameworks (React, Vue.js, etc.) for integrating AI APIs with user-facing applications.

• Discussing project aims with the client and development team.
• Designing and building web applications using Laravel.
• Troubleshooting issues in the implementation and debug builds.
• Working with front-end and back-end developers on projects.
• Testing functionality for users and the backend.
• Ensuring that integrations run smoothly.
• Scaling projects based on client feedback.
• Recording and reporting on work done in Laravel.
• Maintaining web-based applications.
• Presenting work in meetings with clients and management.

• A degree in programming, computer science, or a related field.
• Experience working with PHP, performing unit testing, and managing APIs such as REST.
• A solid understanding of application design using Laravel.
• Knowledge of database design and querying using SQL.
• Proficiency in HTML and JavaScript.
• Practical experience using the MVC architecture.
• A portfolio of applications and programs to your name.
• Problem-solving skills and critical mindset.
• Great communication skills.
• The desire and ability to learn.

JD - System Analyst

1. Analysis and design of technical functionality and features.
2. Creation of requirements document and definition, Epics, User stories and addition of same to Fresh Release.
3. Facilitate daily scrums, stand-ups and meetings to monitor project progress and resolve any issues the team may be experiencing.
4. Collaborate with product owner and stakeholders and clear project obstacles and impediments that could slow down the team’s progress.
5. Meet and coordinate with internal stakeholders to establish project scope, system goals, and requirements.
6. Help the team boost their productivity and performance and helps development team create high-quality products.
7. Arrange and optimize product backlog.
8. Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, and flowcharts for developers and testers to follow.
9. Translate highly technical specifications into clear non-technical requirements.
10. Manage the set-up and configuration of systems. Provide documentation of all processes and training as needed.
11. Define and coordinate the execution of testing procedures and develop test cases to serve the overall quality assurance process.
12. Draw up, supervise and document testing schedules for complete systems.
13. Perform design, implementation, and upgrades of information systems to meet the business and user needs.
14. Implement best practices for scalability, support ability, ease of maintenance and system performance.
15. Identify options for potential solutions and assess them for both technical and business suitability.
16. Oversee implementation of a new system including data migration.

At ESOP ezee

You will enable technology Unicorn’s companies to manage their ESOP schemes through multi-tenant business-to-employee solutions used by more than 100K enterprise users

What you will do

Technical Lead provides technical leadership with in-depth application development experience and is responsible for delivering high-quality products. This is a technical role, with a focus on designing, architecting, and developing enterprise applications using Microsoft technology stack.

You are asked to deliver the following

• Understanding stakeholders' requirements and translate them into concrete architecture.
• Work on complex/challenging problems to provide scalable solutions
• Ensure an error-free production execution of the application
• Promote improvements for software development practices, processes, and standards with consideration of quality, innovation, and productivity

What you will need

• BE, BTech, MTech
• 4+ years of experience in developing and enhancing enterprise web applications
• You understand and are aware of the latest Microsoft .NET technology and its evolution over the last 2 years
• Solid knowledge of MVC, .Net 4.0/4.5, jQuery
• You have served as “Single Point of Contact” for managing technical escalations and decisions

Technology Stack

Experience on the Microsoft technology stack (ASP.NET, .Net Core 3.0, Web API, SQL).

Additional Skills (Optional)

One or more of the following skills are good to have, and will give an edge over other candidates:

• Test-Driven Development
• Knowledge of financial applications

Desired Candidate Profile

We at Perilwise are building the digital infrastructure for the insurance industry. We're looking for a tech lead, someone who can lead the dev team, and take over the day to day activities of the tech lead from the founders.

We are building a revolutionary insurtech platform offering to the entire market(intermediaries, clients, and later insurers)

We're an exciting early stage startup growing fast, and are looking to build cutting edge products across the insurance value chain.

Experience levels: 4+ years. Previous leadership experience preferred but not necessary. These are guidelines, what’s most important for us is the candidate fit.

As an Magento Developer you can expect to be involved in a position with responsibility for the following:

Ø Develop and manage e-commerce websites, web applications & web sites on Magento.
Ø Analyze, design, code, debug, test, document & deploy applications.
Ø Development of custom extensions & modules in Magento.
Ø Work on Magento integration with external systems, viz CMS/CRM/ERP/Payment/Shipping etc.
Ø Exposure on Magento, CMS, CodeIgnitor, OpenCart, JavaScript/ jQuery.
Ø Understanding client requirements and translating them to effective error free web based solutions.

Other Details: -

• Qualification: Any.
• Experience: Min 1 Years of Experence in MAGENTO
• Package: Upto Rs 35,000/- (Depends on Experience)
• Working Days & TIMINGS: - Monday to Friday 10.00 Am to 7:00 Pm
• Location: Mohali