Business Development Executive

Position Details

Position Title: React Native Full Stack Developer

Location: Bangalore

Experience: 2–3 Years

Employment Type: Full-Time / Contract

Role Summary

We are looking for a React Native Full Stack Developer with experience in mobile application development and backend integration. The candidate will be responsible for developing, maintaining, and enhancing cross-platform mobile applications and supporting backend services.

Educational Qualification

• B.E / B.Tech / M.E / M.Tech / MCA in Computer Science, Information Technology, or related discipline

Key Responsibilities

• Develop and maintain cross-platform mobile applications using React Native
• Build reusable UI components and ensure responsive mobile application design
• Integrate REST APIs and backend services with mobile applications
• Develop and support backend functionalities and database interactions
• Collaborate with UI/UX designers, backend developers, and QA teams
• Debug, troubleshoot, and optimize application performance
• Participate in code reviews, testing, and deployment activities
• Ensure application quality, security, and scalability

Required Skills

• Strong experience in React Native and JavaScript / TypeScript
• Experience with React.js and modern frontend development concepts
• Good knowledge of Node.js and backend API development
• Experience with RESTful APIs and third-party integrations
• Knowledge of databases such as MongoDB, MySQL, or PostgreSQL
• Familiarity with Git version control and Agile development methodologies
• Understanding of mobile app deployment for Android and iOS platforms
• Good debugging and problem-solving skills

The Localization Quality Assurance (QA) Architect is a strategic technical leader responsible for designing, implementing, and evolving robust QA architectures that ensure linguistic quality across the global content lifecycle. Serving as the bridge between business goals, compliance requirements, and technology, the QA Architect translates complex audience insights and regulatory demands into scalable, automated, and data-driven QA systems. This role drives continuous improvement through innovation and stakeholder collaboration, empowering teams to deliver culturally relevant, compliant, and high-quality localized content efficiently.

Business Leadership

Translate audience insights, buyer personas, and market intelligence into precise localization QA requirements that reflect strategic content and product needs.

Collaborate with cross-functional teams including product, engineering, marketing, and content to embed quality gates aligned with overarching product and content roadmaps.

Lead workshops, design sessions, and stakeholder meetings to align QA technical architecture decisions with evolving business goals and customer expectations.

Champion the adoption and integration of emerging QA tools, cutting-edge automation, and AI approaches that improve scalability, operational efficiency, and quality outcomes.

Promote a culture of continuous improvement by leveraging data-driven insights, process optimization, and ongoing team capability development.

Compliance Leadership

Architect and embed compliance frameworks into localization QA systems in full adherence to global privacy, accessibility, and intellectual property standards such as GDPR, PDPA, WCAG, ADA, and IP laws.

Integrate regulatory and contractual requirements seamlessly across all layers of the localization QA pipeline to ensure end-to-end compliance.

Design and implement features such as audit trails, change management controls, and traceability mechanisms to support ongoing regulatory compliance and contract obligations.

Collaborate closely with legal, compliance, and risk teams to tailor solutions addressing jurisdiction-specific complexities including data localization mandates and cross-border data flow restrictions.

Ensure system architectures and workflows comply continuously with export control laws and international content distribution regulations through automated governance rules.

Technical Leadership

Design modular, scalable QA architecture frameworks that support comprehensive lifecycle linguistic quality evaluation, including translation memory (TM) systems, terminology databases, and digital asset management.

Develop and maintain AI-driven linguistic error detection models that combine complex error typologies with configurable, flexible review workflows.

Lead the design and implementation of automated verification modules that assess cultural and contextual adaptation accuracy, ensuring global and localized market alignment.

Build real-time, interactive data analytics dashboards that provide risk assessment, quality forecasting, and KPI visualization capabilities to inform decision-making.

Oversee integration of QA automation platforms and tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines to facilitate seamless delivery workflows.

Document technical architecture decisions comprehensively, and develop detailed operational guidelines, best practices, and training materials for engineering and QA teams.

Mentor and support QA engineers, technical leads, and other stakeholders in deploying, scaling, and advancing technology-enabled QA capabilities.ct compliance with data protection regulations including GDPR, PDPA, content accessibility standards such as WCAG and ADA, and intellectual property laws.

 Maintain thorough documentation and detailed tracking of QA tests, defects, and resolutions to support audit readiness and accountability.

 Escalate any identified compliance, data privacy, or contractual issues during QA processes to senior QA or compliance team members for timely resolution.

 Qualifications -

Bachelor’s or Master’s degree in Computer Science, Linguistics, Localization Engineering, or a related technical field.

 12+ years of experience in localization QA architecture, software engineering, or related roles with a focus on multilingual content quality.

 Strong expertise in designing scalable architectures integrating TM systems, terminology management, QA automation, and AI-based error detection.

 Proven experience with compliance frameworks relating to GDPR, PDPA, WCAG, ADA, intellectual property, and international content laws.

 Hands-on knowledge of automation toolchains, CI/CD pipelines, and data analytics platforms.

 Ability to lead cross-functional technical and business alignment sessions, translate complex requirements into actionable technical designs.

 Excellent documentation, training, and mentoring skills for enabling technical teams and stakeholders.

 Familiarity with emerging technologies in linguistic QA, AI/ML applications, and content lifecycle management within globalized environments.

Occupational Health & Safety Management;

Handling posermnent official's visits and its timely compliance, ensure renewal of fire NOC, Petroleum NOC, on site emergency plan approval etc.

Develop a safe, pollution free work environment and robust EHS Culture at site

To enhance engagement of employees for building EHS culture

Improve the awareness and capabilities of people at suite on EHS

Implementation of EHS Global Standards, Like work permut system, LOTO Pemit, contractor safety management, chemical safety management. Personnel protective equipment, Incident reporting and investigation, Risk Assesment and process hazand analysis, change control management, Employee Engagement, Machine Safety procedure etc.

Evaluation of training need assessment and ensure the compliance as per calender

EIS round on monthly basis with engaging department SLT's, shift in charges and EHS profesionals

Creating awareness among employees and workers by celebrating EHS Programs - National Safety Week, Road Safety Weck, Fire Service week etc.

Encourage near miss reporting, employee's reward and recognitions.

Development of departmental EHS coordinators, encourage them to report unsafe observations, near miss reporting conducting department EHS meet, participation in EHS promotional activities.

Ensure electrical safety with coordination engineering department,

Conducting job safety analysis, Risk Assessment & Process hazard analyus. Ensure standard PPE's requirement, use of need base PPE's and its safe disposal

Encourage and ensure incident reporting & investigation, root cause analysis and compliance of corrective action and preventive action,

Ensure emergency preparedness and response compliance and ready to operate 24X7 fire Extinguishers, Fire Hydrant System, Fire alarm system, Public Announcement System, SCBA Safety shower, Spill control Kit, ambulance etc.

Ensure pressure vessel, Lifting tool tackles, hoist and lifts etc testing and compliance, form-9, form-33 etc.

Workplace health & hygiene monitoring

Ensure the compliance of EHS legal register and compliance register

Ensure the compliance of local EHS procedures, EHS Manual, EHS Policy, On site emergency plan.

Are you someone who loves making sure things just work? Do you get a kick out of finding bugs before anyone else does? If you’re excited about building reliable, user-friendly software and want to be part of a fast-growing SaaS startup, we’d love to meet you! Pullse AI is looking for a QA Engineer who’s ready to roll up their sleeves and help us deliver a top-notch product.

About Pullse

Pullse is a SaaS startup on a mission to change the way customer support works, using the power of AI. Our platform brings all support channels together, streamlines workflows, and helps businesses deliver better customer experiences. We believe in giving our team the freedom to make an impact, work transparently, and grow together.

What You’ll Do

• Test Planning & Design: Work with our product and engineering teams to understand what we’re building, then create test plans and cases that cover all the bases—frontend, backend, and AI features.
• Manual & Automated Testing: Run manual tests to catch those tricky edge cases, and build automated tests to make sure nothing slips through the cracks as we move fast.
• Bug Hunting: Log, track, and help squash bugs. You’ll be the go-to person for making sure issues are found and fixed before our users ever see them.
• Automation & CI/CD: Set up and maintain automated test frameworks, and make sure our tests run smoothly in our CI/CD pipelines.
• AI & Data Testing: Help validate our AI features, check model outputs, and make sure our data pipelines are working as expected.
• Quality Metrics & Reporting: Keep an eye on quality metrics and share clear, honest feedback with the team.
• Continuous Improvement: Join in on Agile ceremonies, suggest improvements, and help us get better every sprint.

What We’re Looking For

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 1–3 years of experience in software quality assurance, ideally in SaaS or AI-driven environments.
• Hands-on experience with both manual and automated testing for web apps, APIs, and AI systems.
• Comfortable writing scripts in Python or JavaScript for automation.
• Familiar with tools like Selenium, Cypress, Playwright, or Postman.
• Experience using version control (like Git) and working with CI/CD pipelines.
• Solid understanding of the software development lifecycle and Agile/Scrum.
• Great problem-solving skills, attention to detail, and a collaborative attitude.
• Experience testing APIs, web apps, and cloud-based platforms.
• Bonus: Experience testing AI/ML features or working with AI-powered products.

What You’ll Get

• Salary: Up to INR 3–6 LPA.
• Equity: A chance to own a piece of our journey.
• Remote-first, flexible work environment.
• The opportunity to work on innovative AI-driven products.
• A collaborative, transparent, and growth-oriented culture.
• A real impact on product quality and customer happiness.

If you’re excited about making sure our next-generation customer support platform is rock-solid, we’d love to hear from you! Send us your resume and a quick note about why you think you’d be a great fit.

Let’s build something amazing together at Pullse AI! 🚀

Roles and Responsibilities :

• Cultivating solid relationships with clients through the provision of exceptional service.
• Should be open to travel and explain the products of clients to relevant stakeholders
• Creating a positive onboarding experience for new clients.
• Regularly interacting with clients and their audience through telephone calls, email communications, or face-to-face meetings.
• Identifying ways to overcome clients' challenges
• Maintaining an accurate record of all existing and potential clients.
• Responding to client inquiries in a timely and professional manner.
• Training and providing overall guidance to other fellow members.
• Organizing training seminars to enable clients to engage with the stakeholders
• Should be proficient in using excel.
• Should have 1-3 years of experience
• Mediator between the clients and different departments in the organization.

We are hiring a business analyst to join our project team. You will work alongside project stakeholders and report directly to Sr. Business analysts. The purpose of the role is to liaison and bridge the gap between the BDM team and technical team to comprehend and analyze customer requirements and translate them to the development teams thereby, ensuring the right requirement detail in the documentation.

To succeed in this role, you should have a natural analytical way of thinking and be able to explain difficult concepts to the team.

Responsibilities

· Elicit requirements, gathering, & documenting.

· Ability to grasp, relate, and quickly respond to new inquiries.

· Interaction with team members at regular intervals, share knowledge and information

· Clear and concise communication and project management skills.

· Detail out scope documents, functional & non-functional requirements, features, etc. ensuring all stated and unstated customer needs are captured.

· Construct project documents (BRD, FRD) as per the project requirement and develop Flow charts, Use case diagrams, ER diagrams, User stories

· Performing requirements analysis

· Understand SDLC and fit into the Agile environment.

· Co-operating behavioral with the cross-functional team and being able to translate business needs into technical needs.

· Interface and coordinate with BDM team engagement & understand the client’s requirements

Qualifications

1) 1-2 years of experience as a Business analyst with strong knowledge of project management.

2) Experienced in Mobile & Website development projects.

• Hands-on with contemporary javaScript frameworks(React.js / Angular.js)
• Hands-on with UI layouts, SASS, LESS, Bootstrap
• Developed reusable components and libraries for frontend.
• Frontend optimization techniques to reduce latencies
• Frontend optimization for SEO
• Excellent written and verbal communication skills, design thinking
• Practical experience with engineering best practices

Responsibilities

• Build desktop and mobile web applications using contemporary javascript frameworks
• Actively participate in design and code reviews to build robust applications and prototypes
• Explore and design simple and intuitive consumer experiences
• Work closely with Product Managers, UX designers, and back-end engineers to implement frontend solutions
• Build reusable code and libraries for future use, focus on long term code maintainability
• Work in a fast-paced and agile development environment

High Level Scope of Work :

• Work with AI / Analytics team to priorities MACHINE LEARNING Identified USE CASES for Development and Rollout
• Meet and understand current retail / Marketing Requirements and how AI/ML solution will address and automate the decision process.
• Develop AI/ML Programs using DATAIKU Solution & Python or open source tech with focus to deliver high Quality and accurate ML prediction Model
• Gather additional and external data sources to support the AI/ML Model as desired .
• Support the ML Model and FINE TUNEit to ensure high accuracy all the time.
• Example of use cases (Customer Segmentation , Product Recommendation, Price Optimization, Retail Customer Personalization Offers, Next Best Location for Business Est, CCTV Computer Vision, NLP and Voice Recognition Solutions)

Required technology expertise :

• Deep Knowledge & Understanding on MACHINE LEARNING ALGORITHMS (Supervised / Unsupervised Learning / Deep Learning Models)
• Hands on EXP for at least 5+ years with PYTHON and R STATISTICS PROGRAMMING Languages
• Strong Database Development knowledge using SQL and PL/SQL
• Must have EXP using Commercial Data Science Solution particularly DATAIKU and (Altryx, SAS, Azure ML, Google ML, Oracle ML is a plus)
• Strong hands on EXP with BIG DATA Solution Architecture and Optimization for AI/ML Workload.
• Data Analytics and BI Tools Hand on EXP particularly (Oracle OBIEE and Power BI)
• Have implemented and Developed at least 3 successful AI/ML Projects with tangible Business Outcomes In retail Focused Industry
• Have at least 5+ Years EXP in Retail Industry and Customer Focus Business.
• Ability to communicate with Business Owner & stakeholders to understand their current issues and provide MACHINE LEARNING Solution accordingly.

Qualifications

• Bachelor Degree or Master Degree in Data Science, Artificial Intelligent, Computer Science
• Certified as DATA SCIENTIST or MACHINE LEARNING Expert.