11+ Automated testing Jobs in Chennai | Automated testing Job openings in Chennai

With over 20 million registered users, Our company is India's Largest Cashback & Coupons site backed by honourable Mr Ratan Tata & one of India's leading VC firms Kalaari, Ratan Tata, Korea Investment Partners andAffle (last raised 130 Crores INR Series C Funding in November 2022). With a 200-250 INR crores revenue run rate, we are on track to be India's next unicorn.

Our company is a one-stop destination for savings on all online shopping, enabling members to compare prices, earn Extra Cashback and get free coupons across 1000+ e-commerce sites like Flipkart, Amazon.in, Tata CliQ, Myntra, Nykaa Fashion etc. At our company, we offer a casual but fast-paced environment where creativity and effective teamwork are rewarded. Because of our relatively flat management structure, our employees are able to get close to the heart of our business and are empowered to make a real difference to what we do and how we do it.

Are you a QA Appium Automation Testing Expert? Are you able to automate testing for complex flows to create a perfect bug free product that will be used by Millions?

Have you worked on eCommerce and Digital websites that get millions of traffic? Are you strong with building Automation Frameworks like Page Object Model, Hybrid model etc? Are you good at being hands-on Automation Tester and individual contributor?

Must have skills:

Minimum 5 years experience in testing.

The last 4 years should have been in Mobile App testing using Appium.This is the main requirement, that the candidate is doing automation testing for the Mobile Application (Android & iOS) using Appium.

Should have tested in various devices and experience in Saucelabs is a plus

Should have done API Automation Testing for Mobile apps

Good understanding of Java Programming language, Basics of Java and OOPS concepts

Good in Appium basics, architecture and other areas

Should have experience in mobile testing and setting up automation frameworks for this

Design, implementation and delivery of scalable, maintainable, configurable and robust test automation frameworks

Ability to analyze and translate requirements and development stories into test scripts to ensure complete test coverage

Should have strong knowledge of continuous integration tools like Hudson and Jenkins 11 Strong understand of testing and automation best practices 12 Willingness to learn new technologies, approaches and test tools

Why Join Us :

Start-up EnvironmentWork with a passionate and energetic team that is driven by hustle, comradeship, and togetherness

Compensation & Benefits - Best-in-class salaries to highly competitive ESOPs along with great learning work environment, we offer you a place full of opportunities to customize your career trajectory

An Environment for Innovation - We create a culture for innovation by giving an employee the prowess to create, make and innovate.

We've got you covered - From medical insurance, well-defined policies to flexi WFH options, scrumptious lunch to some amazing learning and development sessions- we've got your back!

Cool PerksCome and get to join us for in-house events, team outings, dinner catch ups, and much more.

Ensuring a Diverse and Inclusive workplace where we learn from each other is core to CK's value. are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.

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 

Job Title: Product and Research Head – Real Estate

Location: Chennai (Thiruvanmiyur)

Job Summary:

The Product and Research Head in Real Estate will lead the development and execution of innovative real estate products and oversee comprehensive market research and analysis. This role demands a strategic leader with deep industry knowledge who can drive product strategy, identify market opportunities, and provide actionable insights to support business growth. The ideal candidate will bridge product development with data-driven research to deliver competitive and customer-centric real estate solutions.

Key Responsibilities:

Product & Research Head

Position: Head – Product & Research

Experience: 20+ years

Key Responsibilities:

• Lead product conceptualization, positioning, and market strategy for residential, commercial, and retail projects.
• Conduct extensive market, consumer, and competitor research.
• Define product mix, unit sizes, pricing, and specifications in line with market demand and business targets.
• Collaborate with sales, marketing, design, and engineering teams to align product features with customer expectations.
• Track industry trends, customer preferences, and regulatory updates.
• Prepare detailed feasibility studies and business plans for new projects.

Preferred Profile:

• 20-25 years in real estate product management and market research.
• Strong market knowledge, analytical skills, and strategic business acumen.

The Impact you will create on the Job

Understand and handle deploying, troubleshooting issues with Compute, Networking, Storage, Database services on AWS & Azure.
IT experience in a team handling the cloud, infrastructure and Linux, Windows operating systems.
Working on  different services in AWS & Azure Cloud Platform
In depth knowledge of a wide range of AWS & Azure services in Compute, Storage, Networking, Infrastructure as a code, Serverless computing, IAM, CI/CD pipelines
Possess a thorough understanding of Internet based technologies (DNS, Security, IP Routing, SSH, FTP, HTTP/HTTPS etc.)

HIRING NOW

TRAINEE MEDICAL REPRESENTATIVES (TMR)

📍 PAN India | 🏫 Training in Gurgaon (Mandatory)

Eligibility:

✔️ B.Sc. / B.Pharma graduates

✔️ Age: Freshers < 23 yrs | Experienced < 25 yrs

✔️ Min. 3 months pharma sales exp. (preferred)

🚫 Only 1 pharma company experience allowed

👨 Only male candidates eligible

Responsibilities:

🔹 Promote pharma brands to doctors

🔹 Generate prescriptions & maintain rapport

💰 Salary: ₹25,000 per month

📍 Training Stipend: ₹175/day for 27 Days

🧳 Travel expenses for training covered

Benefits:

✔️ Medclaim – ₹3 Lakhs

✔️ Accidental Cover – ₹15 Lakhs

✔️ Term Insurance – 10x CTC

✔️ Bonus, LTA, Gratuity, TA, Incentives & More!

✔️ Lodging, boarding, meals & laundry fully covered by company

💻 2 Virtual Interview Rounds

🚀 Immediate Joiners Preferred

What We’re Looking For

• 4+ years of backend development experience in scalable web applications.
• Strong expertise in Python, Django ORM, and RESTful API design.
• Familiarity with relational databases like PostgreSQL and MySQL databases
• Comfortable working in a startup environment with multiple priorities.
• Understanding of cloud-native architectures and SaaS models.
• Strong ownership mindset and ability to work with minimal supervision.
• Excellent communication and teamwork skills.

Greetings from FPL groups

Position - Sales executive for Tata Cars

Experience - 0 to 5 years

Salary - based on your previous salary

Location - Korattur, Navalur and Sembakkam

Working days - 6 days of working

Work time - 9am to 6pm

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Minimum 4 years exp 

Skillsets:

1. Build automation/CI: Jenkins
2. Secure repositories: Artifactory, Nexus
3. Build technologies: Maven, Gradle
4. Development Languages: Python, Java, C#, Node, Angular, React/Redux
5. SCM systems: Git, Github, Bitbucket
6. Code Quality: Fisheye, Crucible, SonarQube
7. Configuration Management: Packer, Ansible, Puppet, Chef
8. Deployment: uDeploy, XLDeploy
9. Containerization: Kubernetes, Docker, PCF, OpenShift
10. Automation frameworks: Selenium, TestNG, Robot
11. Work Management: JAMA, Jira
12. Strong problem solving skills, Good verbal and written communication skills
13. Good knowledge of Linux environment: RedHat etc.
14. Good in shell scripting
15. Good to have Cloud Technology : AWS, GCP and Azure

This is for our Chennai Office , however work from home can be considered during pandemic or lockdowns .

• Java / JavaScript Developer Job Description (Minimum 2 years Experience in Java)
• Good in Core Java, Multithreading, J2EE, web services (REST, SOAP).
• In-depth knowledge on Java Script and object-oriented technique .
• Should be able to work independently
• Familiar on Front-end technologies like AngularJS framework, HTML5, CSS3 is a real Plus

Skill Set:

• Strong knowledge in SQL Server
• Program and develop SQL scripts, tables, views, stored procedures, functions, triggers & constraints.
• Scripting (PowerShell, shell scripting)
• Azure Database (Nice to have)
• Experience with backups, restores and recovery models.
• Familiarity with database design, documentation and coding.

 Responsibilities: 

• Configures and validates database backup routines on a regular basis.
• Establish a regular data retention plan.
• Optimizes database performance through the use of database performance tuning techniques and tools.
• Require extensive familiarity with data management principles and best practices in order to properly store, migrate, and structure data for multiple applications.