Full Stack Developer (Senior)

Join DataCaliper and enter the forefront of technological progress, where your skills will influence the data management landscape and propel businesses towards unparalleled success.

• If you are interested, please apply or respond by sharing your profile to connect and discuss.
• Company: DataCaliper
• URL: https://datacaliper.com/
• Work Location: Coimbatore (Remote)
• Experience: 5+ years
• Joining Time: Immediate / 4 weeks
• Key Responsibilities:

• Design, develop, test, and deploy scalable web applications using modern full stack technologies.
• Collaborate with cross-functional teams, including UI/UX designers, product managers, and QA engineers, to deliver high-quality features.
• Utilize frontend frameworks such as Angular and React to create responsive and interactive user interfaces.
• Develop robust backend services and APIs using Java and/or Python.
• Design and manage database schemas, write optimized queries, and ensure data integrity.
• Engage in code reviews, contribute to architectural decisions, and continuously enhance coding standards and practices.
• Troubleshoot, debug, and optimize application performance across platforms.

Required Skills & Qualifications:

• 5+ years of hands-on experience in full stack web development.
• Proficiency in Angular and React (in-depth knowledge of at least one framework).
• Proficient in backend development with Java and/or Python.
• Experience with SQL (e.g., MySQL, PostgreSQL) and/or NoSQL databases (e.g., MongoDB).
• Solid understanding of RESTful API design, microservices architecture, and integration techniques.
• Familiarity with version control systems like Git.
• Good grasp of software development best practices, design patterns, and agile methodologies.
• Excellent problem-solving, communication, and team collaboration skills.

Nice to Have:

• Experience with cloud platforms like AWS, Azure, or GCP.
• Exposure to DevOps practices and CI/CD pipelines.
• Familiarity with containerization tools like Docker and orchestration tools like Kubernetes.
• Knowledge of AI/ML concepts or experience integrating AI-powered features.

Job Type: Full-time

Benefits:

• Flexible schedule
• Paid time off
• Work from home

Location Type: In-person

Schedule:

• Day shift
• Monday to Friday

Application Question(s):

• Total years of experience
• Notice Period
• Relevant years of experience

Work Location: In person,