Product Manager

We are seeking a highly experienced Azure AI, AIOps & MLOps Architect to lead enterprise-scale AI platform engineering, cloud modernization, DevSecOps transformation, and intelligent automation initiatives.

The ideal candidate should possess deep expertise in Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Kubernetes, Terraform, Azure DevOps, and enterprise observability platforms. The role will focus on designing scalable AI platforms, implementing MLOps and AIOps capabilities, enabling Agentic AI architectures, and driving cloud-native engineering practices across the organization.

Key Responsibilities

Cloud Architecture & Engineering

•     Design and implement scalable, secure, and highly available solutions on Microsoft Azure.

•     Define cloud architecture standards, reference architectures, and best practices.

•     Lead cloud migration and modernisation initiatives across enterprise workloads.

•     Implement multi-region disaster recovery and business continuity strategies.

•     Oversee Azure networking, identity, security, and governance frameworks.

DevOps & CI/CD

•     Architect and implement end-to-end CI/CD pipelines using Azure DevOps or GitHub Actions.

•     Drive DevSecOps culture — embedding security scanning, quality gates, and compliance into the delivery pipeline.

•     Champion Infrastructure-as-Code (IaC) practices using Terraform, Bicep, or ARM templates.

•     Establish branching strategies, release management, and environment promotion standards.

•     Define and enforce platform engineering standards and internal developer tooling.

AI & Machine Learning Integration

•     Architect AI/ML solutions leveraging Azure AI services — Azure OpenAI, Azure Machine Learning, Azure AI Foundry, and Cognitive Services.

•     Design intelligent automation and agentic workflows integrated into enterprise DevOps processes.

•     Implement AI-powered capabilities such as code review assistance, anomaly detection, predictive analytics, and natural language automation.

•     Define AI governance frameworks: model evaluation, prompt management, responsible AI, and cost controls.

•     Design and implement enterprise MLOps frameworks.

•     Build automated model training, validation, deployment, and monitoring pipelines.

•     Establish model governance and lifecycle management.

Generative AI & Agentic AI

• Design enterprise GenAI solutions using Azure OpenAI.
• Build AI Agents using Azure AI Foundry.
• Develop Agent-to-Agent communication patterns.
• Implement Retrieval Augmented Generation (RAG) architectures.
• Build enterprise Knowledge Management and AI Skill Registry platforms.
• Design multi-agent orchestration frameworks.

Leadership & Stakeholder Engagement

•     Serve as the technical authority and subject matter expert for Azure AI and DevOps practices.

•     Mentor and guide junior architects, developers, and DevOps engineers.

•     Collaborate with business stakeholders, product owners, and vendors to translate requirements into technical solutions.

•     Produce architecture documentation, decision records (ADRs), and roadmaps.

•     Represent the technology function in enterprise architecture forums and governance boards.

Required Qualifications

•     Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

•     10+ years of experience in cloud engineering and architecture.

•     5+ years of hands-on experience with Microsoft Azure across compute, networking, storage, identity, and data services.

•     Proven experience designing and implementing enterprise-grade CI/CD pipelines.

•     Strong hands-on expertise with Infrastructure-as-Code (Terraform, Bicep, or ARM).

•     Demonstrated experience architecting and deploying AI/ML solutions on Azure (Azure OpenAI, Azure ML, AI Foundry).

•     Deep knowledge of DevSecOps principles, tools, and practices.

•     Experience with containerisation and orchestration: Docker, Kubernetes (AKS).

•     Proficiency in scripting and development: Python, PowerShell, Bash.

•     Excellent communication and stakeholder management skills.

Preferred Qualifications

•     Microsoft Certified: Azure Solutions Architect Expert.

•     Microsoft Certified: DevOps Engineer Expert.

•     Microsoft Certified: Azure AI Engineer Associate.

•     Experience with Azure API Management (APIM), Event Grid, and Azure Functions.

•     Familiarity with Datadog, Prometheus, or equivalent observability platforms.

•     Experience in the real estate, retail, or enterprise industry sector.

•     Knowledge of agentic AI frameworks and LLM orchestration patterns (LangChain, Semantic Kernel, MCP).

•     Background in building Internal Developer Platforms (IDP).

Technical Skills

Domain

Technologies / Tools

Cloud Platform

Microsoft Azure (UAE North / Global)

DevOps & CI/CD

Azure DevOps, GitHub Actions, Jenkins

IaC

Terraform, Bicep, ARM Templates

AI / ML

Azure OpenAI, Azure AI Foundry, Azure ML, Cognitive Services

Containers

Docker, Kubernetes (AKS), Azure Container Apps

Identity & Security

Microsoft Entra ID, Azure Policy, Defender for Cloud

Observability

Datadog, Azure Monitor, Log Analytics, Application Insights

Databases

Azure SQL, PostgreSQL, Cosmos DB

Languages

Python, PowerShell, Bash, YAML

Strong B2B Tech / SaaS Sales Profile, with a focus on Global Large Enterprises

Mandatory (Experience 1): Must have minimum 8+ YOE in B2B Tech Sales for complex ERP Tech, B2B SaaS, or Tech Product Sales.

Mandatory (Experience 2) : Must have 2+ YOE in B2B SaaS Sales.

Mandatory (Experience 3): Must have minimum 2+ YOE in dealing with Direct Sales to Large Enterprise accounts in US Market.

Mandatory (Experience 4): Must have handled deal / ticket size of average 70K+ USD and 750K+ USD of Annual Target.

Mandatory (Experience 5): Must have experience with long sales cycles (3 to 6-months) for complex ERP solutions, consultative selling, and working with CXO-level stakeholders

Mandatory (Experience 6): Must have seen strong career growth/promotions in last 5 years, and should be a Senior Manager or above in the current role

Mandatory (Compensation): Current total compensation (Fixed + Variable) must be ₹60 LPA or above.

Role: .NET Developer with React.js

3+ years in .NET/C# development (ASP.NET, Web API, MVC or Core)

Expertise in React.js (Redux, Hooks, component design)

Position/Title: Senior - Talent Acquisition

Department: Human Resources

Employment Type: Full-time

Location: Mumbai

Shifts (if any): 10:00 AM - 7:00 PM (candidate should be flexible to work as per business requirement)

Experience: 5-10 years

This position is on 3rd party payroll.

About Aeries:

Aeries is a global services company providing technology, business Founded in 2012, Aeries Technology is a Nasdaq listed global professional services and consulting partner, headquartered in Mumbai, India, with centers in the USA, Mexico, Singapore, and Dubai. We provide mid-size technology companies with the right mix of deep vertical specialty, functional expertise, and the right systems & solutions to scale, optimize and transform their business operations with unique customized engagement models. Aeries is Great Place to Work certified by GPTW India, reflecting our commitment to fostering a positive and inclusive workplace culture for our employees.

For more information, log on to http://www.aeriestechnology.com 

Key Responsibilities:

1.      Non and IT Recruitment Strategy:

·  Develop a specialized recruitment strategy to attract top talent in the Non IT and IT sectors.

·  Stay updated on the latest IT and NON IT  developments to anticipate hiring needs.

2.       Candidate Sourcing and Engagement:

·  Identify potential candidates through various channels including job portals, networking events, and referrals.

·  Engage potential candidates with an understanding of technical requirements such as SAP, Oracle, cloud technologies, programming languages, and more.

3.       Stakeholder Collaboration:

·  Work closely with IT and Non IT department heads to define precise hiring needs and specifications.

4.       Candidate Assessment:

·  Conduct preliminary screening and technical assessments, ensuring candidates meet the technical and cultural fit for roles.

·  Coordinate technical tests and interviews with the respective teams.

5.       Market Intelligence:

·  Stay informed about market trends, competitive salaries, and benefits to attract and retain the best talent in the ERP and IT sectors.

6.       Process and Metrics Management:

·  Continually refine recruitment processes to enhance efficiency and effectiveness.

7.       Candidate Experience:

·  Ensure a seamless experience for candidates from the initial approach through the onboarding process.

·  Address any specific concerns related to ERP and IT roles.

Desired Minimum Qualification:

·  Bachelor’s degree

·  A minimum of [5 to 10] years of experience in talent acquisition with a focus on Non-IT and IT roles

·  IT technologies.

·  Proven track record in hiring for technical roles.

The Job responsibilities of the candidate shall include but not limited to the Job Description & to perform any other tasks/functions as required by the Company.

• 4-8 years Asp.net web API
  ● Asp.net core 1
  ● Asp.net core 2
  ● Asp.net core 2.1

Preferred Skills:-

• Micro-services with C#
• Having worked in a product development environment is desirable.
• Having worked in the finance and banking domain is desirable.
• Docker and Linux knowledge is desirable

Intuitive cloud (http://www.intuitive.cloud">www.intuitive.cloud) is one of the fastest growing top-tier Cloud Solutions and SDx Engineering solution and service company supporting 80+ Global Enterprise Customer across Americas, Europe and Middle East.

Intuitive is a recognized professional and manage service partner for core superpowers in cloud(public/ Hybrid), security, GRC, DevSecOps, SRE, Application modernization/ containers/ K8 -as-a- service and cloud application delivery.

• 9+ years’ experience as data engineer.
• Must have 4+ Years in implementing data engineering solutions with Databricks.
• This is hands on role building data pipelines using Databricks. Hands-on technical experience with Apache Spark.
• Must have deep expertise in one of the programming languages for data processes (Python, Scala). Experience with Python, PySpark, Hadoop, Hive and/or Spark to write data pipelines and data processing layers
• Must have worked with relational databases like Snowflake. Good SQL experience for writing complex SQL transformation.
• Performance Tuning of Spark SQL running on S3/Data Lake/Delta Lake/ storage and Strong Knowledge on Databricks and Cluster Configurations.
• Hands on architectural experience
• Nice to have Databricks administration including security and infrastructure features of Databricks.

What you will do?

As a Full Stack Developer, you’ll be intrumental in shaping the future of AI assistants for data teams and understand the intricacies of Large Language Models (LLMs) to optimize their usage across multiple use cases. Utilizing Django, you'll architect back-end infrastructures optimized for handling data processes and LLM interactions. Your role involves building APIs with the Django Rest Framework. With React, you'll design user-centric interfaces that seamlessly integrate with our AI assistants, ensuring that data teams have an intuitive experience. Working at the forefront of AI revolutions and pushing the boundaries of what AI can achieve in data management and analysis.  

Responsibility

1. Back-end Development: Utilize Django to architect robust back-end infrastructures. Ensure they are tailored for complex data processes and seamless LLM interactions.

2. API Design: Craft efficient and scalable APIs using the Django Rest Framework. Founding Full Stack AI Engineer

3. Front-end Development: Transform UI/UX designs into functional web pages using React. Prioritize performance and deliver seamless user experiences.

4. AI Integration: Design user interfaces that flawlessly integrate with our LLMs, AI assistants, aiming to offer data teams an intuitive and efficient interaction.

5. Innovation: Stay abreast of AI advancements. Push boundaries and explore new possibilities in data management and analysis using AI. 

About the company:

At GullySales, we understand that a strong sales and marketing strategy is essential for business success. That's why we offer a wide range of services to help businesses of all sizes reach their goals. Whether you need help with branding, digital marketing, sales training, lead generation or more, our team of experts has the skills and experience to help you succeed.

Remote from preferred locations: Mysuru/Mysore, Chennai or Hyderabad

Title: 

Field Sales Representative

Job Summary:

A field sales job involves selling products or services directly to customers in their designated geographical area or territory. This role requires frequent travel to client sites, conducting face-to-face meetings, and presenting product offerings to potential customers.

Responsibilities:

1. Prospecting and Lead Generation

2. Customer Engagement

3. Sales Presentations

4. Sales Negotiation

5. Account Management

6. Sales Reporting

7. Market Intelligence

9. Travel: Regularly travel within the assigned territory to meet clients, attend conferences, and participate in industry events.

Requirements:

- A valid driver's licence and a two wheeler of your own.

- Proven track record in field sales or relevant sales experience, preferably in the same industry. Freshers are also accepted. 

- Excellent communication, interpersonal, and presentation skills. 

- Strong negotiation and closing abilities.

- Self-motivated and target-driven with the ability to work independently.

- Proficiency in using CRM software and other sales tools.

- Willingness to travel extensively within the assigned territory.

Company website: 

https://www.gullysales.com/