Tech Lead

Candidate should have a consultative approach not just pre sales call approach. 

2. Must be from B2B SAAS, MarTech or SalesTech but product based company only

3. Should be able to prepare pitch decks for the clients

4. 3 to 5 years of experience in a Solutions Consultant, Pre-Sales Engineer, Technical Consultant, or similar customer-facing technical role

5. Solid technical foundation with the ability to explain complex concepts clearly

6. Exceptional communication and presentation skills, with the ability to articulate value and technical information effectively

7. Should have handled RFPs and RFIs

8. Should have managed POCs/Sanboxes

9. Expereince between 3 to 6 years will only be considered. More than 6 years candidates are not applicable

Preferred companies to find candidate for this role - Cvent, Bizzabo, Airmeet, Hubilo, Hopin, vFairs, ON24, Goldcast, Webex Suite, BigMarker, Stova, Splash and EventMobi.

Focus Areas:

• Build applications and solutions that process and analyze large-scale data.
• Develop data-driven applications and analytical tools.
• Implement business logic, algorithms, and backend services.
• Design and build APIs for secure and efficient data exchange.

Key Responsibilities:

• Develop and maintain data processing applications using Apache Spark and Hadoop.
• Write MapReduce jobs and complex data transformation logic.
• Implement machine learning models and analytics solutions for business use cases.
• Optimize code for performance and scalability; perform debugging and troubleshooting.
• Work hands-on with Databricks for data engineering and analysis.
• Design and manage Airflow DAGs for orchestration and automation.
• Integrate and maintain CI/CD pipelines (preferably using Jenkins).

Primary Skills & Qualifications:

• Strong programming skills in Scala and Python.
• Expertise in Apache Spark for large-scale data processing.
• Solid understanding of data structures and algorithms.
• Proven experience in application development and software engineering best practices.
• Experience working in agile and collaborative environments.

We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.

Key Responsibilities:

• Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
• Design and deploy serverless applications using AWS Lambda and API Gateway.
• Build and manage RESTful APIs and microservices.
• Implement CI/CD pipelines for efficient and secure deployments.
• Work with Docker to containerize applications and manage container lifecycles.
• Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
• Design efficient database schemas and write optimized SQL queries for PostgreSQL.
• Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
• Write unit, integration, and performance tests to ensure code reliability and robustness.
• Monitor, troubleshoot, and optimize application performance in production environments.

Required Skills:

• Strong proficiency in Python and Python-based web frameworks.
• Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
• Sound knowledge of microservices architecture and asynchronous programming.
• Proficiency with PostgreSQL, including schema design and query optimization.
• Hands-on experience with Docker and containerized deployments.
• Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
• Familiarity with API documentation tools (Swagger/OpenAPI).
• Version control with Git.

The role requires you to:

• Answer client queries related to use of Superset software product, on email channel, and largely phone channel
• To understand queries, resolve them by providing ways to achieve use cases using Superset tool
• Ensure customer success by providing timely resolution
• Write documentation and FAQs

•Ensures that products conform to business requirements/company policies, software quality standards, and established procedures

•Confirms that testable systems are specified, designed and implemented

•Designs, documents and implements procedures and techniques that are consistent with departmental SQA Methodology for analyzing, testing, and evaluating the risk (software & business), accuracy, completeness, internal integrity/consistency, testability and overall quality of business systems and SDLC processes

•Creates and maintains SQA deliverables including test plans, test cases, test data, project test progress and release reports, application turnover documents and test schedules

•Recommends and assists in corrective actions taken at all stages of product life

•Submits and tracks production (maintenance) and release issues in their respective systems

We are looking for a Node.js Developer who is proficient with writing API's, working with data, using AWS and capable of applying algorithms mainly machine learning-based to solve problems and create/modify features for our students. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements built by your co-workers into the application. Therefore, a basic understanding of front-end technologies is necessary as well.

Responsibilities

• Integration of user-facing elements developed by front-end developers with server-side logic
• Writing reusable, testable, and efficient code
• Design and implementation of low-latency, high-availability, and performant applications
• Implementation of security and data protection
• Use of algorithms to drive data analytics and features.
• Ability to use AWS to solve scale issues.