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Job Description
<p><p><b>Description : </b><br/><br/><b>Key Responsibilities : </b><br/><br/></p><p>- Design, develop, and maintain backend services, APIs, and microservices.<br/><br/>- Write clean, efficient, and maintainable code following best software engineering practices.<br/><br/>- Collaborate with frontend developers, product managers, and DevOps teams to deliver high-quality software solutions.<br/><br/>- Optimize application performance and ensure high availability and scalability.<br/><br/>- Work with databases (SQL and NoSQL) for data modeling, querying, and optimization.<br/><br/>- Implement robust authentication, authorization, and data security mechanisms.<br/><br/>- Participate in code reviews, provide constructive feedback, and mentor junior engineers.<br/><br/>- Troubleshoot, debug, and resolve production issues efficiently.<br/><br/>- Stay up to date with emerging technologies and contribute to architecture improvements.<br/><br/><b>Required Skills & Experience : </b><br/><br/></p><p>- 6+ years of professional experience in backend development.<br/><br/>- Proficiency in Node.js, Java, Python, or Go (depending on tech stack).<br/><br/>- Strong understanding of RESTful API design and integration.<br/><br/>- Experience with databases such as MySQL, PostgreSQL, MongoDB, or Cassandra.<br/><br/>- Hands-on experience with cloud platforms (AWS, Azure, or GCP).<br/><br/>- Solid understanding of CI/CD pipelines, version control (Git), and containerization using Docker or Kubernetes.<br/><br/>- Experience with message queues (Kafka, RabbitMQ, etc.) and distributed systems.<br/><br/>- Strong problem-solving and debugging skills.<br/><br/><b>Preferred / Nice-to-Have Skills : </b><br/><br/></p><p>- Experience with microservices architecture and event-driven systems.<br/><br/>- Familiarity with GraphQL, gRPC, or other API frameworks.<br/><br/>- Understanding of DevOps practices and infrastructure as code (Terraform, Ansible).<br/><br/>- Knowledge of automated testing frameworks and test-driven development (TDD).<br/><br/>- Exposure to AI/ML integration or data engineering workflows is a plus.</p><br/></p> (ref:hirist.tech)
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