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Designation: Sales & Customer Service Executive (Only Chennai Candidates)

Roles and Responsibilities:

• Actively promote our range of heritage handloom sarees and clothing to potential customers who visit our website.
• Understand customer needs and communicate how the product adds value to meet those needs.
• Upsell or cross-sell additional products or services to maximize sales revenue.
• Provide personalized recommendations and suggestions based on customer preferences.
• Follow up with customers to ensure their satisfaction and encourage repeat purchases.
• Communicate with Customers both pre and post purchase - Emails, Web chats, WhatsApp Chats, Phone Call.
• Order checking and Quality Checks prior to shipping products to customers.
• Follow up with Logistics for tracking shipments, and order fulfilment.
• Make video product demos of sarees and clothes to customers who need more information.

Key Skills

• English communication skills - Oral, Telephonic and Written
• Pleasant and sweet temperament
• Systematic follow ups with customers
• 0-2 Yrs of experienced candidates can apply.

Why this role exists

Our infrastructure footprint is growing faster than our headcount, and we believe most of that

gap should be closed by automation and AI agents — not by hiring more humans to do toil. We

need someone early in their career who treats manual work as a bug, ships scripts and agents

instead of tickets, and wants to grow into deeper ownership over the next two years.

You will not be the most senior person on the team. You will be the one who multiplies the team.

What you'll own

In your first 1 months

• Take ownership of one slice of our CI/CD pipeline and make it measurably

faster, more reliable, or cheaper. We expect a number on a dashboard to move.

• Build at least three internal automations that replace manual ops toil —

using AI agents (Claude Code, agentic CLIs, scripted LLM workflows) as your force

multiplier.

• Be the first responder for a defined set of alerts. Write the runbooks. Drive

the alert volume down.

• Support senior engineers on AI/ML infrastructure (GPU nodes, inference

services, model deployment) — observe, document, and gradually take on contained

changes under review.

By 3 months you should be

• The go-to person for at least two production systems.

• Shipping routine infrastructure changes without needing senior review.

• Treating "manual" as a code smell.

Required (we will reject without these)

• 0–3 years hands-on experience with one major cloud (AWS, GCP, or

Azure — one is fine, depth beats breadth).

• Fluent in Linux command line, bash, and at least one scripting language

(Python or Go preferred).

• Have shipped something to production that real users hit. A side project

counts; a graded coursework lab does not.

• Comfortable with Docker — you can explain what an image vs. a

container is and why it matters.

• Working knowledge of networking fundamentals: DNS, HTTP/HTTPS,

TLS, ports, basic subnets — enough to debug "it works on my machine."

• Git fluency: branches, merges, rebases, conflict resolution.

• CI/CD pipelines — you have authored or substantially modified pipelines

in GitHub Actions, GitLab CI, ArgoCD, Jenkins, or similar. Not just "I clicked Re-run."

• Kubernetes basics — kubectl for real work, can read pod logs,

understand deployments and services, can debug a CrashLoopBackOff without

panicking. You do not need to have run a cluster; you do need to have lived inside one.

• Active user of AI coding agents (Claude Code, Cursor, Copilot, agentic

CLIs, etc.). You should be able to walk us through specific tasks where they made you

faster, and specific tasks where they failed you and how you noticed. "I have tried it" is

not enough.

Bonus (real plus, not required)

• Infrastructure as Code: Terraform, Pulumi, or Ansible.

• Observability: Prometheus/Grafana, Datadog, OpenTelemetry, any APM.

• Have built or extended an LLM-based agent — a custom MCP server, a

scripted multi-step workflow, an internal tool that calls models in a loop. Anything beyond

chat-with-Claude.

• Exposure to GPU workloads, model serving (vLLM, Triton, TGI, etc.), or

ML pipelines.

What we don't care about

• Whether your degree is in CS — or whether you have a degree at all.

• Brand-name companies on your resume.

• Certifications. They are fine. They do not substitute for having shipped.

How we work

• We default to automation. If you do something manually twice, the third

time you script it or hand it to an agent.

• AI agents are part of the workflow, not a novelty. Expect interview

questions about exactly how you use them — and where you have caught them being

wrong.

• Small, reversible changes beat big-bang rollouts.

• Postmortems are blameless and written down.

• We push back on each other. If you only execute, you will be unhappy

here.

How to apply

Send:

• Your resume.

• A short note (≤200 words) describing one infra or automation problem you

solved, and how AI agents factored in — or did not, and why. We read these. Generic

notes get rejected.

Internal note — delete before posting externally

• Comp band, location policy, team name, and reporting line marked

[CONFIRM] need to be filled in before this goes external.

• The Required list is intentionally tight: CI/CD and Kubernetes basics

promoted from bonus. Expect this to filter ~80% of typical junior DevOps applicants. The

remaining pool will skew toward people who have actually shipped infra at a startup, not

bootcamp grads or pure cloud-cert holders.

• IaC, observability, agent-building, and GPU/ML serving stay as bonus.

Promoting any of these to required at 0–3 yrs collapses the pool to near-zero or forces

hiring senior people at junior comp. If you want IaC required, re-level this to mid (3–5

yrs) and raise the band.

• Screening implication: the resume screen should explicitly check for

CI/CD pipeline authorship and any K8s-touching production work. If neither is on the

resume, reject at screen. Do not waste interview slots.

• Pipeline watch: if fewer than ~15 qualified resumes after 2 weeks of

active sourcing, the first thing to relax is the AI-agent-fluency bar (move to bonus and

screen for it in interview instead). Do not relax the "shipped to production" requirement

— that is the load-bearing filter.

Job Title: Business Development Executive (Admissions)

Location: Chennai – Perungudi (On-site)

Experience: Fresher to 2 years

Employment Type: Full-time

Role Summary

We are looking for a Business Development Executive to support student admissions, increase brand visibility, and engage with parents and local communities for I2 Global School. The role involves counseling parents, handling inquiries, and supporting admission-related activities at the centre.

Key Responsibilities

• Handle admission inquiries through calls, walk-ins, school tours, and follow-ups
• Counsel parents on curriculum, facilities, and academic programs
• Drive admissions by converting leads into enrollments
• Support local marketing activities, events, and community outreach
• Maintain inquiry data, follow-up records, and admission reports
• Coordinate with Centre Heads and academic teams for admission events
• Track competitor activities and share market insights
• Ensure a positive and professional parent experience

Requirements

• Strong communication and interpersonal skills
• Interest in sales, admissions, or business development
• Ability to interact confidently with parents and stakeholders
• Basic computer skills (Excel, CRM is a plus)
• Freshers with good communication skills are welcome

Preferred Background

• Education / Ed-tech / Training institute experience is an added advantage
• Inside sales, counseling, or customer-facing experience preferred
• 
  

Role: Java Developer

Overall: 4 to 8 Years

Location: Chennai

Notice: Immediate to short joiners

Job Description:

We are looking for a skilled and enthusiastic Java Developer to join our team in Chennai. The ideal candidate should have strong hands-on experience in Java development with a focus on backend frameworks such as Spring Boot and Hibernate. If you’re passionate about clean code, scalable applications, and delivering robust software solutions—this is the role for you.

Key Responsibilities:

• Design, develop, test, and maintain backend applications using Java, Spring Boot, and Hibernate.
• Write efficient, scalable, and reusable code.
• Participate in design discussions, code reviews, and deliver high-quality software.
• Collaborate with cross-functional teams to define, design, and ship new features.
• Troubleshoot, debug, and upgrade existing systems.
• Ensure best practices in software development and Agile methodologies.

Required Skills:

• Strong proficiency in Core Java (Java 8 or above).
• Hands-on experience with Spring Boot and Hibernate.
• Proficient in working with RESTful APIs and Web Services.
• Experience with SQL and relational databases (e.g., MySQL, PostgreSQL).
• Familiarity with version control tools like Git.
• Knowledge of software development lifecycle and Agile practices.

Experience/skills required

Key Qualifications

• Developer Role:
• Preferably Java 
• CI/CD - DevOps (Exposure)
• Messaging Middleware (Exposure to Kafka or any other messaging middleware)
• DB: Oracle (pref) - any other Database platforms (SQL/NoSQL)
• Server Side: Java, Spring boot Microservices
• Exposure to Any Major Cloud Platform (AWS/Azure/GCP)

• Partnering with internal business owners (product, marketing, edit, etc.) to understand needs and develop custom analysis to optimize for user engagement and retention
• Good understanding of the underlying business and workings of cross functional teams for successful execution
• Design and develop analyses based on business requirement needs and challenges.
• Leveraging statistical analysis on consumer research and data mining projects, including segmentation, clustering, factor analysis, multivariate regression, predictive modeling, etc.
• Providing statistical analysis on custom research projects and consult on A/B testing and other statistical analysis as needed. Other reports and custom analysis as required.
• Identify and use appropriate investigative and analytical technologies to interpret and verify results.
• Apply and learn a wide variety of tools and languages to achieve results
• Use best practices to develop statistical and/ or machine learning techniques to build models that address business needs.

• 2 - 4 years  of relevant experience in Data science.
• Preferred education: Bachelor's degree in a technical field or equivalent experience.
• Experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms.
• Machine Learning Algorithms: Crystal clear understanding, coding, implementation, error analysis, model tuning knowledge on Linear Regression, Logistic Regression, SVM, shallow Neural Networks, clustering, Decision Trees, Random forest, XGBoost, Recommender Systems, ARIMA and Anomaly Detection. Feature selection, hyper parameters tuning, model selection and error analysis, boosting and ensemble methods.
• Strong with programming languages like Python and data processing using SQL or equivalent and ability to experiment with newer open source tools.
• Experience in normalizing data to ensure it is homogeneous and consistently formatted to enable sorting, query and analysis.
• Experience designing, developing, implementing and maintaining a database and programs to manage data analysis efforts.
• Experience with big data and cloud computing viz. Spark, Hadoop (MapReduce, PIG, HIVE).
• Experience in risk and credit score domains preferred.

About Klenty

Klenty is a Software Product company operating in the Sales Engagement category.

One of the fastest growing SAAS startups in the sales engagement space, Klenty is headquartered in California and operates from Chennai, India.

Klenty’s Sales Engagement Product helps thousands of sales teams automate all the repetitive activities involved in the sales process like sending emails, follow-ups, tracking engagement metrics, etc - so that the sales team can focus more on activities like building relationships and closing deals.

With over 3000 customers all over the world, we are on a mission to transform every B2B Sales team into an unstoppable force

Join us in building the future of sales engagement software

Roles & Responsibilities

1. Ensure that the application doesn’t misbehave under changing user load and that no bugs or errors reach the end-users.

2. Understands and analyze performance test requirements - Develops performance test script suite and Executes tests —> Captures —> Analyzes results.

3. Conduct system performance testing to ensure system reliability, capacity and scalability and reports performance test progress & defects.

4. Maintains performance script repository.

5. Writing test scripts of various test phases like integration, regression, system.

6. Analyzing users stories / Use cases / requirements for validity and feasibility.

7. Interact with SMEs & Business to gather PT/PE requirements.

8. Identifying tools and techniques to improve testing quality and efficiency.

9. Raise issues or concerns to the stakeholders upfront and if required come up with mitigation plan.

10. Collect all metrics (Client Side, Server Side, DB, Network and Load Balancer) and analyse the performance metrics and bottlenecks to suggest corrective actions.

11. Design and create benchmark scenarios and prepare performance benchmark documents.

12. Prepare test summary reports for management review.

13. Collaborate closely with other team members and departments and assist in other performance engineering activities as needed.

Seniority Level - Entry level

Industry - Information Technology & Services

Employment Type - Full-time

Job Functions - Product Development

Employment Type - Full-time

Company Overview: We are a fast-growing vertical SaaS company in Chennai. Our product - GrowSmart - is used by leading project contracting companies across India. Our team values the following: respect for every individual, excellent learning opportunities, challenging work environment, larger responsibilities earlier in your career, commitment towards results, recognition for hard work. Website: https://growsmartsmb.com 

Job Overview: You will be part of the core product engineering team. It’s a small, highly productive team building a large and complex product. Our web app is built with React and Redux. The mobile apps are built with React-Native. The backend is built with NodeJs and PostgreSQL. So, javascript is the language we speak 😉. If you are fluent in javascript, you will be a great fit! This position is primarily for the front-end, but we encourage full-stack developers.

You will be a team player working collaboratively with product leaders, UI designers, and the testing team. Requirement Analysis, Design, Development, Unit Testing, and Integration Testing are the major activities you will take up. You will own a feature from UI design to go live.

Skills Expected:

1. Sound understanding of HTML/ DOM / Javascript / CSS.
2. Strong practical expertise in React and Redux.
3. Good understanding of usability, error handling, performance, and reusability concepts.
4. Ability to learn new concepts rapidly.
5. Ability to handle complexity - you will work on a large and complex app, often more than one task at a time.
6. Being self-driven - you enjoy taking ownership; you don’t need constant follow-up from a manager.

Job Highlights: Great opportunity to work on the full-stack in a large and complex product, with a small core team. Modern workplace at the heart of the city – Ashok Nagar. Young and flat team – you get full freedom to learn and grow. Excellent growth opportunity – can take up bigger responsibilities earlier in your career. Medical insurance for self. Due recognition and appreciation for hard work.

• 5+ years of experience in Healthcare domain
• To understand the problem statements which includes Change Requests
• To closely interact with Clients, Design and Development Team Members and Testing team
• Good Communications in English
• Should be familiar to Agile methodologies