Business Development Executive

Job Title : Backend Developer (Node.js or Python/Django)

Experience : 2 to 5 Years

Location : Connaught Place, Delhi (Work From Office)

Job Summary :

We are looking for a skilled and motivated Backend Developer (Node.js or Python/Django) to join our in-house engineering team.

Key Responsibilities :

• Design, develop, test, and maintain robust backend systems using Node.js or Python/Django.
• Build and integrate RESTful APIs including third-party Authentication APIs (OAuth, JWT, etc.).
• Work with data stores like Redis and Elasticsearch to support caching and search features.
• Collaborate with frontend developers, product managers, and QA teams to deliver complete solutions.
• Ensure code quality, maintainability, and performance optimization.
• Write clean, scalable, and well-documented code.
• Participate in code reviews and contribute to team best practices.

Required Skills :

• 2 to 5 Years of hands-on experience in backend development.
• Proficiency in Node.js and/or Python (Django framework).
• Solid understanding and experience with Authentication APIs.
• Experience with Redis and Elasticsearch for caching and full-text search.
• Strong knowledge of REST API design and best practices.
• Experience working with relational and/or NoSQL databases.
• Must have completed at least 2 end-to-end backend projects.

Nice to Have :

• Experience with Docker or containerized environments.
• Familiarity with CI/CD pipelines and DevOps workflows.
• Exposure to cloud platforms like AWS, GCP, or Azure.

🚀 Hiring: MERN Stack Developer at Deqode

⭐ Experience: 2+ Years

📍 Location: Mumbai

⭐ Work Mode:- 5 Days Work From Office

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

About the Role:

We’re looking for a skilled MERN Stack Developer to build and maintain modern web applications using MongoDB, Express.js, React.js, and Node.js.

Responsibilities:

• Develop and maintain full-stack web apps.
• Build reusable React components and REST APIs.
• Work with databases (MongoDB) and cloud deployment.
• Collaborate with cross-functional teams.

Requirements:

• 2–5 years of experience in MERN stack.
• Strong in JavaScript, React, Node, Express, MongoDB.
• Good understanding of RESTful APIs and Git.
• Bonus: AWS/DevOps/Next.js/TypeScript.

Role Purpose:

The Mechanical Design - HVAC - primary purpose is to drive the strategic direction and technological advancement of mechanical and cooling infrastructure within our data center portfolio. This role is focused on leading research, developing innovative thermal designs, establishing global engineering standards, evaluating emerging technologies, and providing expert mechanical guidance to optimize performance, enhance scalability, and achieve sustainable outcomes for future data center deployments.

6+ years of progressive experience in mechanical engineering roles, with a strong emphasis on HVAC, thermal management

Key Responsibilities:

• Advanced Mechanical System Design & Innovation:
• Lead the research, conceptualization, and design of next-generation cooling systems for data centers, including advanced chilled water plants, direct expansion (DX) systems, adiabatic and evaporative cooling solutions, liquid cooling technologies (e.g., direct-to-chip, immersion cooling), and innovative heat rejection strategies.
• Develop groundbreaking mechanical architectures that push the boundaries of PUE (Power Usage Effectiveness), thermal density, scalability, and resilience beyond current industry norms.
• Conduct comprehensive feasibility studies, technical evaluations, and detailed cost-benefit analyses for new mechanical cooling technologies and design concepts.
• Global Mechanical Engineering Standards & Best Practices:
• Define, develop, and maintain global mechanical engineering standards, specifications, and best practices for data center design and construction, ensuring consistency, reliability, and cost-effectiveness across all regions.
• Evaluate and incorporate relevant industry standards (e.g., ASHRAE, Uptime Institute, NFPA, local building codes, energy efficiency regulations) into design guidelines.
• Drive standardization of mechanical components, equipment, and processes to optimize supply chain, reduce lead times, and improve operational maintainability.
• Technology Scouting & Evaluation:
• Actively research and scout emerging mechanical technologies, disruptive innovations, and cutting-edge solutions in thermodynamics, fluid dynamics, heat transfer, and sustainable cooling relevant to data centers.
• Conduct rigorous technical due diligence, testing, and proof-of-concept initiatives for promising new mechanical technologies.
• Develop technology roadmaps for future mechanical infrastructure upgrades and deployments.
• Cross-Functional Collaboration & Subject Matter Expertise:
• Serve as the top-tier mechanical subject matter expert (SME) for the organization, providing advanced technical guidance and mentorship to regional engineering teams, operations, and project managers.
• Collaborate closely with Electrical, BMS/Automation, IT Infrastructure, and other Core Engineering Leads to develop integrated, holistic data center designs.
• Partner with R&D teams, vendors, and academic institutions to drive joint innovation efforts in cooling and mechanical systems.
• Performance Optimization & Future Proofing:
• Develop methodologies and tools for analyzing mechanical system performance, efficiency (PUE, WUE - Water Usage Effectiveness), thermal management effectiveness, and reliability.
• Define strategies for future-proofing mechanical infrastructure against evolving IT equipment thermal demands, climate change impacts, and sustainability goals.
• Lead initiatives for advanced thermal monitoring, controls, and predictive analytics for mechanical systems.
• Documentation & Intellectual Property:
• Generate comprehensive engineering reports, white papers, technical specifications, and design guidelines for mechanical systems.
• Contribute to the development of intellectual property (patents, trade secrets) related to data center mechanical and cooling solutions.

Education- Bachlors/Master's degree in Mechanical Engineering

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Job Description:

We are looking for a highly skilled and motivated QA Automation Engineer with 5 to 8 years of experience to join our dynamic team. The ideal candidate will have a strong background in automated testing and a passion for ensuring the delivery of high-quality software.

Mandatory Skills:

Automation Testing (Selenium + SpecFlow + C# + TestComplete)

Key Responsibilities:

• Develop and maintain automated test scripts for web and mobile applications.
• Design, implement, and execute test cases for functional, regression, and performance testing.
• Collaborate with development teams to ensure that automated tests are integrated into the continuous integration/continuous deployment (CI/CD) pipeline.
• Troubleshoot, debug, and analyze test failures to ensure issues are resolved promptly.
• Ensure that the quality assurance process is well-documented and adhered to throughout the software development life cycle.
• Review product requirements and provide feedback regarding testability, edge cases, and validation techniques.
• Work closely with developers and product managers to understand project goals and contribute to the overall quality strategy.
• Perform manual testing when necessary and ensure comprehensive test coverage.

Required Skills and Qualifications:

• 3 to 5 years of hands-on experience in QA automation, with strong knowledge of test automation frameworks.
• Proficiency in programming languages such as Java, Python, or JavaScript.
• Experience with automation tools like Selenium, Appium, TestNG, or similar.
• Familiarity with CI/CD tools like Jenkins, Bamboo, or GitLab.
• Strong understanding of Agile methodologies.
• Knowledge of performance testing tools like JMeter or LoadRunner is a plus.
• Good problem-solving skills and the ability to troubleshoot and debug test failures.
• Strong communication skills and ability to work in a collaborative team environment.

Preferred Skills:

• Experience with cloud-based testing (AWS, Azure, Google Cloud).
• Knowledge of API testing using tools like Postman or SoapUI.

We need a trained Website Developer.

Must have a experience of 3 to 5 years.

Knowledge of React, Nod JS, HTML CSS.

Safety Connect is a growing company in the domain of field force and road safety.

We are looking for a high-energy and dynamic Inside Sales Representative to join our growing team and fix quality meetings with potential customers. This role will be responsible for servicing outbound sales with a focus on generating, qualifying, and engaging all prospective clients. This role is one of the first touchpoints for prospects and has the opportunity to set the tone for the sales cycle.  

This position requires outbound cold calling, emailing, qualification, and tight collaboration with the Business Development Manager (BDM) to generate new opportunities.  

Roles and Responsibilities:

• Primary responsibility would be to generate demand and move leads through the pipeline and convert them into sales-qualified leads.

• Respond, engage and qualify inbound leads and inquiries. 

• Develop and execute a strong prospecting plan of attack, including email and call scripts. 

• Quickly learns about the product, effectively communicate the value proposition and be able to respond to objections.

• Follow-up on leads and provide appropriate information to foster relationships.

• Educate leads on our product and nurture them until they are qualified and ready to talk with BDM. 

• Schedule meetings and demos for BDM.  

Requirements /Qualifications: 

• Exceptional communication skills (both verbal and written). 

• Self-motivated with diligent work ethic, Experience with CRM applications.

• Data-driven mindset.

• 1-2 years of experience as an Inside Sales Representative in SaaS/ B2B.

• Bachelor’s degree or equivalent required.

Role: Data Analytics Lead / Manager

1. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
2. Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
3. Coordinate with different teams to determine requirements for data warehousing, reporting and analytical solutions, and ensure customer satisfaction on deliverables
4. Oversee analytics projects to extract, manage, and analyse data from multiple applications, ensuring that deadlines are met.
5. Apply statistics and data modelling to gain actionable business insights and boost customer productivity and revenue.
6. Enforce company policies and procedures to ensure quality and prevent discrepancies.
7. Communicate and track key performance metrics across departments.
8. Keep abreast of industry best practices and policies.
9. Research Latest trends, analyse data, identify opportunities and incorporate changes into business strategies.
10. Manage and optimize processes for data intake, validation, mining and engineering as well as modelling, visualization and communication deliverables.
11. Examine, interpret and report results of analytical initiatives to stakeholders in leadership, technology, sales, marketing and product teams.
12. Oversee the data/report requests process: tracking requests submitted, prioritization, approval, etc.
13. Develop and implement MLDevOps, quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
14. Anticipate future demands of initiatives related to people, technology, budget and business within your department and design/implement solutions to meet these needs.
15. Organize and drive successful completion of data insight initiatives through effective management of data analyst and effective collaboration with stakeholders.

Essential Skills

1. Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
2. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
3. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units.
4. Experience and knowledge of statistical modelling techniques: multiple regression, logistic regression, log-linear regression, variable selection, etc.

 We’re looking for someone with at least 10+ years of experience in a position monitoring, managing, transforming and drawing insights from data, and someone with at least 5 years of experience leading a data analyst team.

Experience in Azure is preferred