Business development executive, Team leader

Role Overview:

We are seeking a Tech Lead (5–14 yrs experience) to design, build, and scale the technology

foundation for our Support Excellence function. This role sits at the intersection of engineering,

product, and operations ensuring that our internal teams and, eventually, our end users

experience seamless, efficient, and data-driven support.

You will lead a small but high-impact team of engineers, own the support tooling roadmap, and

implement solutions that handle ticket triage, data quality issues, automation, and integrations

with our healthcare SaaS platform.

This is a hands-on technical leadership role ideal for someone who thrives on solving

operational challenges through technology, building frameworks from scratch, and enabling

customer-facing and internal support teams to scale effectively.

Key Responsibilities

1. Build & Enhance Support Platform:

● Own the engineering roadmap for support tooling — ticketing systems, triage workflows,

knowledge bases, and automation bots.

● Design and implement scalable support frameworks, ensuring fast triage, data-driven

escalation, and high-quality resolution.

● Integrate support tooling with product backend, CMS, and analytics systems to enable

context-aware assistance.

2. Technical Leadership & Delivery:

● Lead a small team of engineers (SEs and SSEs), providing guidance on design, architecture,

and coding standards.

● Stay hands-on with coding and reviews while enabling the team to deliver high-quality,

maintainable solutions.

● Partner closely with Program Managers and Business Analysts to translate requirements

into technical execution.

3. Automation, Data & AI-Driven Support:

● Implement automation workflows (bots, routing, notifications) to reduce manual load and

optimize SLA adherence.

● Drive the adoption of AI/ML solutions for ticket classification, triage, and predictive

resolution.

● Build analytics dashboards to track support KPIs (FRT, TTR, resolution quality).

● Partner with Product Managers, Designers, and Engineers to ensure delivery fidelity.

● Restore transparency and speed between business stakeholders and tech teams.

4. Cross-functional Collaboration:

● Work with Product, QA, Customer Success, and Ops to ensure support needs are captured

early in the roadmap.

● Serve as the engineering voice in discussions on escalation flows, release readiness, and

customer-facing support enablement.

● Collaborate with content and ops teams to power self-service experiences (knowledge

bases, FAQs, in-app help).

5. Documentation & Knowledge Management:

● Maintain technical documentation for support tooling, workflows, and integrations.

● Contribute to knowledge bases (internal + external) alongside ops and content teams.

● Foster a documentation-first culture to enable faster onboarding and smoother

collaboration.

What We’re Looking For

Must-Have

● 5–7 years of experience in software engineering, with at least 2+ years in a senior/lead

role.

● Proven track record in building internal platforms, support tools, or automation systems.

● Strong technical skills: Python/Node/Java, SQL, cloud services (AWS/GCP), and integration

experience with ticketing/support platforms (e.g., Zendesk, Freshdesk, ServiceNow, Jira

Service Management).

● Experience leading small teams and owning delivery from design → build → release.

● Excellent problem-solving skills with a bias for execution in fast-paced environments.

Nice to Have

● Exposure to SaaS or healthcare platforms with multi-tenant architecture.

● Familiarity with AI/ML-driven support solutions (classification, prediction, NLP chatbots).

● Hands-on experience with support metrics and dashboards (CSAT, SLA adherence, TTR).

● Knowledge of documentation frameworks (Confluence, Notion, Git-based wikis).

What You’ll Do:

• Setting up formal data practices for the company.
• Building and running super stable and scalable data architectures.
• Making it easy for folks to add and use new data with self-service pipelines.
• Getting DataOps practices in place.
• Designing, developing, and running data pipelines to help out Products, Analytics, data scientists and machine learning engineers.
• Creating simple, reliable data storage, ingestion, and transformation solutions that are a breeze to deploy and manage.
• Writing and Managing reporting API for different products.
• Implementing different methodologies for different reporting needs.
• Teaming up with all sorts of people – business folks, other software engineers, machine learning engineers, and analysts.

Who You Are:

• Bachelor’s degree in engineering (CS / IT) or equivalent degree from a well-known Institute / University.
• 3.5+ years of experience in building and running data pipelines for tons of data.
• Experience with public clouds like GCP or AWS.
• Experience with Apache open-source projects like Spark, Druid, Airflow, and big data databases like BigQuery, Clickhouse.
• Experience making data architectures that are optimised for both performance and cost.
• Good grasp of software engineering, DataOps, data architecture, Agile, and DevOps.
• Proficient in SQL, Java, Spring Boot, Python, and Bash.
• Good communication skills for working with technical and non-technical people.
• Someone who thinks big, takes chances, innovates, dives deep, gets things done, hires and develops the best, and is always learning and curious.

We are looking for a detail-oriented and proactive Logistics Executive to manage and coordinate the movement, storage, and distribution of goods. The ideal candidate will ensure timely deliveries, optimize logistics operations, and maintain cost efficiency while upholding quality and compliance standards.

Key Responsibilities:

• Plan, coordinate, and monitor logistics operations including transportation, warehousing, and inventory management.
• Ensure timely dispatch and delivery of goods as per schedule.
• Negotiate with transporters, freight forwarders, and vendors to optimize cost and efficiency.
• Maintain accurate records of shipments, stock levels, and related documentation.
• Coordinate with internal teams (sales, procurement, production, etc.) to align supply chain processes.
• Track shipments and proactively resolve issues related to delays, damages, or discrepancies.
• Ensure compliance with company policies, legal regulations, and safety standards.
• Prepare daily/weekly/monthly logistics reports for management review.
• Suggest process improvements to enhance efficiency and reduce costs.

Qualifications & Skills:

• Bachelor’s degree in Logistics, Supply Chain, Business Administration, or a related field.
• 1–3 years of experience in logistics, supply chain, or warehouse management (freshers with internships may also be considered).
• Knowledge of logistics software, ERP systems, and MS Office (Excel proficiency is a must).
• Strong communication, negotiation, and problem-solving skills.
• Ability to multitask and work in a fast-paced environment.
• Attention to detail with good organizational skills.

Data Strategy and Planning:

Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.

Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.

Data Collection and Integration:

Identify and assess various data sources, both internal and external, to gather relevant and reliable data.

Design and implement data collection methods and processes to ensure data is captured efficiently.

Oversee data integration initiatives to consolidate data from different sources into a unified database.

Data Quality Assurance:

Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.

Implement data validation processes and routines to identify and rectify data discrepancies or errors.

Database Management:

Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.

Ensure data security and compliance with relevant data protection regulations.

Data Analysis and Reporting:

Collaborate with analysts to provide clean and structured data for analysis.

Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.

Team Collaboration:

Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.

Provide guidance and training to team members regarding data management best practices.

Engineering Head / Tech Lead (React + Node.js)

About MrPropTek

MrPropTek is building the future of real estate technology. We're looking for a hands-on Engineering Head / Tech Lead to drive our tech strategy and lead the development of scalable web applications across frontend and backend using React and Node.js.

Responsibilities

• Lead and mentor a team of full-stack developers
• Architect and build scalable, high-performance applications
• Drive end-to-end development using React (frontend) and Node.js (backend)
• Collaborate with product, design, and business teams to align on priorities
• Enforce code quality, best practices, and agile processes
• Oversee deployment, performance, and security of systems

Requirements

• 7+ years in software development; 3+ years in a tech lead or engineering management role
• Deep expertise in React.js, Node.js, JavaScript/TypeScript
• Experience with REST APIs, cloud platforms (AWS/GCP), and databases (SQL/NoSQL)
• Strong leadership, communication, and decision-making skills
• Startup or fast-paced team experience preferred

Job Location- Mohali, Delhi/ NCR

Job Type: Full-time

JD-Backend Developer

Job Location: Andheri, Mumbai

Job Summary:

As a Python based Backend developer, you shall be responsible for software development of greenfield projects -an platform

for automated testing using Python as a main language. You will work with a team of developers, collaborating on projects to

create efficient and effective software solutions that meet the needs of clients or end-users in the testing domain. You will

need to have a strong understanding of Python & other languages with knowledge of test automation frameworks and tools/

libraries.

Responsibilities:

• Develop and maintain an automated testing platform using Python programming language.

• Design and implement software solutions that automate the testing process.

• Collaborate with other developers and cross-functional teams to deliver high-quality software solutions.

• Participate in code reviews, debugging, and troubleshooting to improve software quality.

• Stay up-to-date with the latest developments in Python and JavaScript programming language and related

testing frameworks and tools.

• Ensure software is delivered on-time and meets or exceeds customer expectations.

• Develop and maintain documentation related to software development processes and projects.

Requirements:

• Bachelor's degree in Computer Science, Software Engineering or a related field.

• Proven experience as a Back-end Developer.

• Strong understanding of Python & other programming language along with its ecosystem (libraries, frameworks,

tools, etc.).

• Excellent written and verbal communication skills.

Preferences:

• Preference shall be given to local candidates

• Preference shall be given to candidates having experience in greenfield software development projects related

to automated testing.

Carsome’s Data Department is on the lookout for a Data Scientist/Senior Data Scientist who has a strong passion in building data powered products.

Data Science function under the Data Department has a responsibility for standardisation of methods, mentoring team of data science resources/interns, including code libraries and documentation, quality assurance of outputs, modeling techniques and statistics, leveraging a variety of technologies, open-source languages, and cloud computing platform. 

You will get to lead & implement projects such as price optimization/prediction, enabling iconic personalization experiences for our customer, inventory optimization etc.

Job Descriptions

• Identifying and integrating datasets that can be leveraged through our product and work closely with data engineering team to develop data products.
• Execute analytical experiments methodically to help solve various problems and make a true impact across functions such as operations, finance, logistics, marketing. 
• Identify, prioritize, and design testing opportunities that will inform algorithm enhancements. 
• Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models and clean and validate data for uniformity and accuracy.
• Unlock insights by analyzing large amounts of complex website traffic and transactional data. 
• Implement analytical models into production by collaborating with data analytics engineers.

Technical Requirements

• Expertise in model design, training, evaluation, and implementation ML Algorithm expertise K-nearest neighbors, Random Forests, Naive Bayes, Regression Models. PyTorch, TensorFlow, Keras, deep learning expertise, tSNE, gradient boosting expertise, regression implementation expertise, Python, Pyspark, SQL, R, AWS Sagemaker /personalize etc.
• Machine Learning / Data Science Certification

Experience & Education 

• Bachelor’s in Engineering / Master’s in Data Science  / Postgraduate Certificate in Data Science. 

Must-Have:

• Web development frameworks and tools, such as AngularJS, and React JS • Knows frameworks and programming languages such as .NET, C#, JavaScript, and NodeJS. • Must have an idea about hybrid cloud platforms like Azure or AWS • Knowledge about build Tools like Webpack and Grunt • Should know basic design principles and coding practices, such as linters and types • Secure coding practices and protocols such as the Open Web Application Security Project (OWASP) • Basic knowledge of CMS tools and their workings, CMS like Sitecore • Having experience in API and service-based architectures using REST APIs, microservices, and utilizing JSON for web or mobile applications

Good to Have:

• Testing frameworks and tools like Jest, Codecept, Tosca, Jenkins • SQL, PL/SQL, and NoSQL database management. • Knowledge of various web tools and software like Miro, Figma, Visual Studio, VS Code, PyCharm, Jira, Confluence, and DevOps portals • Could have knowledge of payment gateways and their implementations on e-commerce management tools like Hybris • Having knowledge of product life cycle management

IOS DEVELOPMENT:

• Willing to contribute in Small or Large Project Teams
• Must be willing to start Immediately work from home permanent
• Good Communication Skills (English)
• Can Allocate working hours (Flexible) as per Projects Req.
• Must have Good Internet & Good Laptop/System