▷ (Only 24h Left) Full Stack Engineer

4 weeks ago

Hyderabad, India Replicant Systems Full time
Job Title: Full Stack Developer (IoT & AI)

Location: Hyderabad (Onsite)

Company Description:

Replicant Systems Private Limited is an original design manufacturing (ODM) company that provides end-to-end electronic product design and manufacturing support to partners and OEMs. The company’s vision is to build an integrated platform of highly customised IoT devices for a range of commercial and industrial applications.

Promoted by a well-known business family and established in 2023, based in Hyderabad, Telangana.

Job Summary:

We are seeking a highly skilled and experienced Full Stack Developer to join our dynamic IoT team. The ideal candidate will have a strong background in both front-end and back-end development, with expertise in cloud technologies, building dashboards, developing APIs, managing databases, and deploying AI models. You will work closely with embedded systems engineers, data scientists, and software developers to create scalable, secure, and user-friendly applications that power our IoT solutions. Your role will be critical in developing and maintaining cloud-based applications that interface seamlessly with our IoT devices.

Key Responsibilities:

- Front-End Development: Build responsive, intuitive, and interactive user interfaces using frameworks like React, Angular, or Vue.js, enabling real-time data visualization for IoT device management.- Back-End Development: Design and maintain server-side logic using Node.js, Python, Java, or .NET. Create secure and scalable APIs (RESTful and GraphQL) that enable communication between IoT devices and dashboards.- Cloud Integration: Deploy applications on AWS, Azure, or Google Cloud to ensure reliability and scalability. Utilize cloud-based IoT platforms for device management and data processing.- Database Management: Design and optimize relational (MySQL, PostgreSQL) and NoSQL (MongoDB, Cassandra) databases to handle high volumes of IoT data efficiently.- AI Model Integration: Collaborate with data scientists to integrate AI models for predictive analytics and anomaly detection, using libraries like TensorFlow or PyTorch.- Firmware and Software Integration: Partner with embedded engineers to enable smooth integration between IoT firmware and software, ensuring secure data exchange and over-the-air updates.- SDK Development: Develop and maintain SDKs to enable third-party developers to interact with our IoT platform seamlessly.- Testing and Debugging: Implement robust testing processes (unit, integration, and end-to-end) and CI/CD pipelines to maintain code quality.- Security and Performance Optimization: Apply security best practices to safeguard IoT data and optimize application performance for large-scale deployment.- Collaboration: Work closely with cross-functional teams, including hardware engineers, data scientists, and product managers, to deliver integrated IoT solutions.

Qualifications:

- Education: Bachelor’s degree in Computer Science, Software Engineering, or related field; Master’s degree preferred.- Experience: Minimum of 3 years in full-stack development, particularly with IoT or embedded systems. Proven track record of building scalable, secure applications and APIs.- Technical Skills:- Programming: Proficient in JavaScript (Node.js), Python, and Java.- Front-End: Strong knowledge of HTML, CSS, JavaScript, and frameworks like React, Angular, or Vue.js.- Back-End: Experience with Express.js, Django, or similar frameworks.- Databases: Expertise in relational and NoSQL databases for efficient data handling.- API Development: Proficient in RESTful APIs, GraphQL, and third-party API integrations.- Cloud Platforms: Experienced with AWS, Azure, or Google Cloud Platform.- DevOps: Knowledge of CI/CD tools (Jenkins, GitLab CI) and containerization (Docker).- IoT and Security: Familiarity with IoT protocols (MQTT, HTTP) and secure data practices.

Preferred Qualifications:

- Certifications like AWS Certified Developer or Azure Developer Associate.- Knowledge of IoT-specific protocols, edge computing, and AI model integration for enhanced application intelligence.- Experience with microservices, serverless architectures, and big data tools like Hadoop or Spark.

This role offers the opportunity to shape IoT applications in a collaborative environment with high-impact work across hardware, AI, and software teams.

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