11+ Private equity Jobs in Chennai | Private equity Job openings in Chennai

About the Company:
Torre Capital (https://www.torre.capital/) is a VC funded Singapore based Financial Technology company and a Registered Fund Manager in Singapore. We are creating a fully digital Wealth-Tech to connect family offices and HNI investors with global opportunities, including alternative assets like Private Equity, Venture Capital, Real Estate Funds, and Hedge Funds. We also offer our investors the ability to invest in high-quality global growth startups, private debt opportunities, and other liquid opportunities (Equity baskets, structured products, etc.). Our team comprises of ex-Mckinsey consultants, Asset management veterans, and Digital experts. We are backed by prestigious VC firms and a network of angels and industry leaders.

Role:

Digital Sales Manager with experience in Financial Services Sales in that particular city. Role reports to Sr. Wealth Manager / Sr. Digital Wealth Manager. 

Experience:

Candidates  with experience Fintech Space / B2B sales-digital sales in large Tech Startups and with existing network of HNIs 

Location:

Mumbai / Ahmedabad/ Bangalore/ Kolkata / Chennai/ Hyderabad / Pune / Jaipur / Surat / Rajkot/ Gurgaon / Noida / Chandigarh / Kochi (Cochin) / Vizag

Role Description:

• You work with the City’s biggest family offices and HNIs to onboard and activate them as our investors.
• Leading our outreach initiative, developing relations with new partners and building firm commitments for collaboration
• Negotiating attractive partnership deals and ensuring mutually beneficial partnership terms that are in line with business objectives and strategy.
• Maintaining and deepening relationships with existing partners.
• Conceptualizing and leading initiatives that give way to potential new revenue channels.
• Developing metrics to measure ROI from the synergies forged.
• Liaising with cross functional teams to create successful outcomes for both the business and its partners.

Qualifications:

• You have a Masters in Business Administration or related discipline from a top tier college or university
• You have at least 2- 5 years experience within a strategic engagements, partnerships & alliances, B2B account management or similar roles.
• You are aware of & are intersted  in the FinTech ecosystem.
• You possess excellent interpersonal as well as written and verbal communication skills.
• You have a proven track record of meeting/exceeding your targets in your previous roles.
• You have a strong experience within consultative sales and possess the ability to prospect and manage senior level relationships.

What We Offer:
To start with, what we give is a market sustenance compensation and no benefits. If you continue post the first 6 months, we offer a market comp AND performance linked bonus. We firmly believe in the partnership model and any success will be equitably shared. What is on the plate is an entrepreneurial opportunity to build a fintech from scratch, an independent environment where everyone is a co-owner, and a strong team of equally talented individuals. Folks looking for a large paycheck on Day 1 kindly excuse.

We have opening for Relationship Manager- Broking

Job location: Goa / Dhule / Jalgaon

Exp: 1 to 6 years

Working Days: 6 Days Working (1st, 3rd, 5th Saturday off, 2nd and 4th Working)

Working Timing: 9:30 AM to 6:30 PM

Relationship Manager- Broking

Key Responsibilities

• Build and maintain strong relationships with Authorized Partners (APs).
• Drive business growth and enhance partner revenue.
• Provide training, mentoring, and activation support for business partners.
• Ensure compliance with regulatory and procedural standards.
• Promote stock broking products such as Smallcase, Stock SIP, MTF, Investments & Trading.
• Engage, motivate, and develop business partnerships.
• Deliver service excellence and meet key business KPIs.

Requirements

• Minimum 1 year of experience in broking/financial markets.
• Strong communication & relationship management skills.
• Good knowledge of financial markets & trading.
• Comfortable working in a target-driven environment.

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

Overview:

We are hiring for multiple positions at our apparel retail store, suitable for both freshers and experienced store managers. If you have a passion for fashion, love interacting with customers, and want to grow in the retail industry, we’d love to hear from you.

Open Roles:

• Fashion Consultant (Fresher): Assist customers, provide styling advice, maintain store displays, and support daily sales.
• Store Manager: Lead the team, manage store operations, achieve sales targets, and ensure an excellent customer experience.

Requirements:

• For Fashion Consultant: Graduate, good communication skills, and customer-friendly attitude.
• For Store Manager: 3+ years of retail experience with team handling and target achievement skills.

Responsibilities:

• Analyze and understand business requirements and translate them into efficient, scalable business logic.

• Develop, test, and maintain software that meets new requirements and integrates well with existing systems.

• Troubleshoot and debug software issues and provide solutions.

• Collaborate with cross-functional teams to deliver high-quality products, including product managers, designers, and developers.

• Write clean, maintainable, and efficient code.

• Participate in code reviews and provide constructive feedback to peers.

• Communicate effectively with team members and stakeholders to understand requirements and provide updates.

Required Skills:

• Strong problem-solving skills with the ability to analyze complex issues and provide solutions.

• Ability to quickly understand new problem statements and translate them into functional business logic.

• Proficiency in at least one programming language such as Java, Node.js, or C/C++.

• Strong understanding of software development life cycle (SDLC).

• Excellent communication skills, both verbal and written.

• Team player with the ability to collaborate effectively with different teams.

Preferred Qualifications:

• Experience with Java, Golang, or Rust is a plus.

• Familiarity with cloud platforms, microservices architecture, and API development.

• Prior experience working in an agile environment.

• Strong debugging and optimization skills.

Educational Qualifications:

• Bachelor's degree in Computer Science, Engineering, related field, or equivalent work experience.

• Java – Spring, Hibernate, Data Structures & Algorithms
  • Knowledge on a Database system.
  3+ years of experience in software development.

Preferably BE/B-Tech engineering degree, but not a must.
• 3 years’ experience developing server-side Java – Spring, Hibernate and REST
• Full-SDLC cycle, with large-scale live roll-out participation as a developer.
• Expert understanding of the object-oriented design and programming concepts
• Good understanding of relational and non-relational database/datastores/caches best practices and challenges
• Have a passion for quality and writing clean, solid, readable code that scales and performs well
• Proficient in Git and familiarity with continuous integration
• A team player who values collaboration, innovation, and inclusion
• Comfortable working in an Agile environment
• Strong verbal and written communication skills

Job Title: Engineering Manager

Job Location: Chennai, Bangalore
Job Summary
The Engineering Org is looking for a proficient Engineering Manager to join a team that is building exciting
and futuristic Data Products at Condé Nast to enable both internal and external marketers to target
audiences in real time. As an Engineering Manager, you will drive the day-to-day execution of technical
and architectural decisions. EM will own engineering deliverables inclusive of solving dependencies
such as architecture, solutions, sequencing, and working with other engineering delivery teams.This role
is also responsible for driving innovation, prototyping, and recommending solutions. Above all, you will
influence how users interact with Conde Nast’s industry-leading journalism.
● Primary Responsibilities
● Manage a high performing team of Software and Data Engineers within the Data & ML
Engineering team part of Engineering Data Organization.
● Provide leadership and guidance to the team in Data Discovery, Data Ingestion, Transformation
and Storage
● Utilizing product mindset to build, scale and deploy holistic data products after successful
prototyping and drive their engineering implementation
● Provide technical coaching and lead direct reports and other members of adjacent support teams
to the highest level of performance..
● Evaluate performance of direct reports and offer career development guidance.
● Meeting hiring and retention targets of the team & building a high-performance culture
● Handle escalations from internal stakeholders and manage critical issues to resolution.
● Collaborate with Architects, Product Manager, Project Manager and other teams to deliver high
quality products.
● Identify recurring system and application issues and enable engineers to work with release teams,
infra teams, product development, vendors and other stakeholders in investigating and resolving
the cause.
● Required Skills
● 4+ years of managing Software Development teams, preferably in ML and Data
Engineering teams.
● 4+ years of Agile Software development practices
● 12+ years of Software Development experience.
● Excellent Problem Solving and System Design skill
● Hands on: Writing and Reviewing code primarily in Spark, Python and/or Java
● Hand on: Architect & Design end to end Data Pipeline (noSQL databases, Job Schedulers, Big
Data Development preferably on Databricks / Cloud)
● Experience with SOA & Microservice architecture
● Knowledge of Software Engineering best practices with experience on implementing CI/CD,
Log aggregation/Monitoring/alerting for production system
● Working Knowledge of cloud and devops skills (AWS will be preferred)
● Strong verbal and written communication skills.
● Experience in evaluating team member performance and offering career development
guidance.
● Experience in providing technical coaching to direct reports.
● Experience in architecting highly scalable products.
● Experience in collaborating with global stakeholder teams.
● Experience in working on highly available production systems.
● Strong knowledge of software release process and release pipeline.
About Condé Nast
CONDÉ NAST INDIA (DATA)
Over the years, Condé Nast successfully expanded and diversified into digital, TV, and social
platforms - in other words, a staggering amount of user data. Condé Nast made the right move to
invest heavily in understanding this data and formed a whole new Data team entirely dedicated to
data processing, engineering, analytics, and visualization. This team helps drive engagement, fuel
process innovation, further content enrichment, and increase market revenue. The Data team
aimed to create a company culture where data was the common language and facilitate an
environment where insights shared in real-time could improve performance.
The Global Data team operates out of Los Angeles, New York, Chennai, and London. The team at
Condé Nast Chennai works extensively with data to amplify its brands' digital capabilities and boost
online revenue. We are broadly divided into four groups, Data Intelligence, Data Engineering, Data
Science, and Operations (including Product and Marketing Ops, Client Services) along with Data
Strategy and monetization. The teams built capabilities and products to create data-driven solutions
for better audience engagement.
What we look forward to:
We want to welcome bright, new minds into our midst and work together to create diverse forms of
self-expression. At Condé Nast, we encourage the imaginative and celebrate the extraordinary. We
are a media company for the future, with a remarkable past. We are Condé Nast, and It Starts Here.

Job Description:

WLAN Linux Device Driver development (802.11ax preferred)

• WLAN Debugging
• WLAN Firmware development (802.11ac, 802.11n)
• Networking/Wireless Domain knowledge
• Hostapd, Supplicant
• Cross compiling/porting experience
• Performance optimization & Firmware enhancements

Must have Skills:

• 1-10 years of experience in Embedded Software Design, Implementation and testing
• Good knowledge of C or C++
• Basic knowledge in Scripting (Shell, Perl or Python)
• Proficiency in Problem Solving and Debugging skills
• Excellent team working skills
• Experience with version control e.g. GIT
• Basic experience of working in Linux OS
• Network Drivers
• WLAN Protocol Knowledge – 11n, 11ac
• WLAN Linux Device Drivers
• Hostpad, Supplicant
• WLAN Debugging
• Fluent in English

Desired Candidate Details:

• Design, development, and maintenance
• WLAN Stack development and debugging
• Feature Enhancements, Applications, Tools for SDKs
• Basic module level unit testing, System testing
• Providing support to technical documentation team and field application engineers
• Close collaboration with the Chipset Vendor on the Software Development
• Participations in the Product design and Software Design Documentation – High level / Module level / Low level design
• Troubleshooting software and architectural issues

We are looking for a seasoned Wireless LAN Software Engineer to join our Wireless & Networking team in Chennai, Pollachi, Kochi (Cochin), Gurugram, Manesar, Bengaluru (Bangalore). The candidate must be an experienced Engineer and a good team player, who will work on Wireless software solutions which will enable us to develop the products for our customers quickly with industry leading quality. Working with Embedded Software in agile development projects, you will be responsible for creating and maintaining software of Wireless Access Point and Router Products including Module design, Development, JIRA Updates and Unit testing of the Software that is meeting industry standards, creating demos of the solution and customer support.

Senior Android Development Engineer - Chennai

Who we are?

Kaleidofin is a financial platform for the informal sector, which provides solutions tailored to the customer’s goals and are intuitive to use. We are working towards creating fair and transparent financial solutions that can target millions of customers and enterprises in India that don’t have easy access to formal financial planning.

In a very short time span, global investors such as Omidyar Network, Blume Ventures and well known individual investors have supported Kaleidofin’s well thought out business model with $2.8 million in seed funding.

With its focus to harness mobile technology to deliver a paperless experience as well as its focus to harness technology and analytics to predict the right product for the right customer, Kaleidofin aims to become a leading FinTech player bringing financial solutions to everyone.

To know more about Kaleidofin, do visit our site https://kaleidofin.com/

What You’ll Do?

We are seeking extremely smart & independent senior developers who are gung ho about building large scale systems that are going to have a big impact on millions of customers. You will:

• Lead design and development of products working closely with business team
• Independently own software components and co-own entire applications with a small group of fellow developers
• Formally mentor junior software engineers on the team, reviewing design documents, (peer) reviewing code, providing design direction and guidance
• Build performant, scalable, yet secure, enterprise ready android applications with architecture that is fast yet lean on the backend servers enabling them to support millions of users in parallel
• Establish strong engineering best practices and champion their adoption

Who You Need To Be? 


• 4+ years’ experience in android software development and delivery
• Bachelors or Masters degree in engineering (preferably computer science or sister branches) from a reputed institute (preferably IITs, NITs, or other top engineering institutes).
• Strong grasp of CS fundamentals, algorithms and excellent problem-solving abilities. 

• All experience should be from good product development or e-commerce background.
• Able to take ownership of working with multiple teams – Product, Back end, QA, Business from start of development to go-live.
• Must have shown good stability in all your previous associations.
• Skill set
  • Strong knowledge of UI architectural patterns like MVVM(preferable), MVC, MVP, data binding, activity & fragment lifecycle, recycler view, navigation component, layouts (constraint layout preferable), theming etc.
  • Should have actively used retrofit, work managers, android jetpack, Rx java, dagger, retrofit, android sdk, GIT/bitbucket, gradle/ant and very keen on exploring other proven tech stack.
  • Comfortable with test driven development in android with UI testing, instrumented unit testing and unit testing using junits and mockito
  • Have working knowledge of writing backend REST API’s (preferably in Java, spring boot & hibernate) without having to completely depend on backend engineers for delivery
  • Has worked in a fast paced agile organization building stateless and re-entrant/resumable android applications.
  • Should have worked on building applications across wide range of android devices and android versions.
  • Experience of Kotlin (especially kotlin coroutines and koin) is a big plus.