We are looking for an experienced Senior Full Stack Software Engineer with a strong background in building and maintaining high-performance applications. The ideal candidate will have expertise in
developing software solutions that integrate with IoT devices and managing large datasets. Additionally, you will be responsible for creating a mobile application for our riders to log their usage and performance metrics.
Responsibilities:
● Design, develop, and maintain a robust software platform to accept and process data from IoT devices.
● Architect and implement efficient data sorting and storage solutions to handle large volumes of data.
● Develop a mobile application for riders to log bike usage, including time of use, number of rides, and carrier information.
● Collaborate with cross-functional teams to gather requirements, design solutions, and deliver high-quality software.
● Ensure the scalability, reliability, and performance of the software and mobile application.
● Implement security best practices to protect sensitive data.
● Perform code reviews, testing, and debugging to maintain a high standard of code quality.
Qualifications:
● Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
● 5+ years of experience in full stack software development.
● Proficiency in programming languages such as JavaScript, Python, Java, or similar.
● Strong experience with front-end frameworks (e.g., React, Angular, Vue.js) and back-end frameworks (e.g., Node.js, Django, Spring Boot).
● Proven experience in developing mobile applications (iOS and Android) using frameworks like React Native or Flutter.
● Expertise in integrating and processing data from IoT devices.
● Solid understanding of database systems (SQL and NoSQL) and data sorting techniques.
● Familiarity with cloud platforms (AWS, Azure, Google Cloud) and DevOps practices.
● Excellent problem-solving skills and attention to detail.
● Strong communication and teamwork abilities.
Preferred Skills:
● Experience with fleet management or logistics software.
● Knowledge of machine learning or data analytics.
● Understanding of real-time data processing and event-driven architectures.
● Familiarity with Agile development methodologies.
About Founders Launchpad
Founders Launchpad is an industry-agnostic, early-stage startup accelerator that provides venture capital funding, operational support, and mentorship to high-potential startups, helping them scale their businesses.
Address: 6F & 7F, 5048 P Burgos St, Makati, 1210 Metro Manila
We are looking for an experienced Senior Full Stack Software Engineer with a strong background in building and maintaining high-performance applications. The ideal candidate will have expertise in dev...
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· Contribute to product design and establishment of requirements
· Deliver products consistently, on time, and on budget
· Manage a delivery team to ensure timely and accurate customer deliveries
· Ensure that team maintains high level of competence and operational excellence
· Serve as primary contact for customer inquiries and concerns
· Analyze customer orders, set delivery priorities and make schedule adjustments to meet timely delivery goals
· Develop process improvements to achieve cost effectiveness and time saving · Make critical business decisions to meet customer expectations
· Experience in converting business problems/challenges to technical solutions
· Develop standardized practices for delivering new products and capabilities
· Established experience with project management programs, SCRUM, and different variants of AGILE techniques, along with familiarity with code management and Continuous Integration/Delivery Implementation (CI/DI)
Qualification
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· Proven data modelling experience in either Financial, Telecommunication, or Marketing sector
· Exposure in Data Engineering principles
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· Understanding of data structures, data modeling and software architecture
· Deep knowledge of math, probability, statistics and algorithms
· Highly proficient in writing robust code in Python, Java, and R
· Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
· Excellent communication skills
· Outstanding analytical and problem-solving skills
· MBA in Data Science or Statistics - nice to have
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