5 hours ago
Bengaluru, IndiaMid Level
Responsibilities
- Design, develop, and maintain scalable web applications using the MEAN stack.
- Build responsive user interfaces with Angular.
- Develop and integrate APIs connecting front-end and back-end systems.
- Write clean, efficient, and maintainable code.
- Perform code reviews, debugging, and troubleshooting.
- Collaborate with cross-functional teams and stay current with emerging technologies.
Requirements
- Bachelor’s degree in computer science or engineering, such as B.Tech in CSE/IT, or MCA.
- 4+ years of professional experience in MEAN/MERN stack development; the role overview also states at least 2 years, and freshers with relevant projects or portfolios may be considered.
- Proficiency in JavaScript, TypeScript, HTML5, CSS3, and related web technologies.
- Strong knowledge of data structures, algorithms, and problem-solving.
- Experience with MongoDB, MySQL, or PostgreSQL.
- Familiarity with Git or GitHub and agile development methodologies.
- Preferred experience with AWS, Azure, or Google Cloud Platform.
- Preferred knowledge of Express.js, Flask, or Django, and familiarity with Docker, Kubernetes, and DevOps practices.
- Competitive coding or algorithmic problem-solving experience using platforms such as LeetCode, HackerRank, TopCoder, or Codeforces is beneficial.
- Strong communication, adaptability, and ability to work effectively in a remote team environment.
Benefits
- Hybrid work arrangement in Bangalore, India, with a remote-team environment.
- Opportunity to contribute to AI-powered industrial operations solutions and industry-wide efficiency improvements.
- Collaborative, growth-oriented environment with opportunities for learning and professional development.
- Opportunities to lead innovative projects and influence product development.
Tech Stack
AngularAWSAzureDjangoDockerExpressFlaskGitGoogle Cloud PlatformJavaScriptKubernetesMongoDBMySQLNode.jsPostgreSQLPythonTypeScript
Categories
About UptimeAI
UptimeAI builds AI reasoning agents for industrial operations that analyze plant data to detect issues, recommend actions, and optimize reliability and performance. The company sells its software to heavy process industries, including oil and gas, power generation, chemicals, and cement, for predictive and prescriptive maintenance and operations guidance. Founded in 2019 and headquartered in San Francisco, it is privately held.