Senior Backend Engineer at Weekday AI
, , India -
Full Time


Start Date

Immediate

Expiry Date

20 May, 26

Salary

5000000.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Java, Python, Node.js, Go, Restful Apis, Distributed Systems, System Design, PostgreSQL, MySQL, MongoDB, Redis, Kafka, RabbitMQ, Oauth, Jwt, Aws

Industry

technology;Information and Internet

Description
This role is for one of the Weekday's clients Salary range: Rs 3000000 - Rs 5000000 (ie INR 30-50 LPA) Min Experience: 4 years Location: India JobType: full-time We are seeking a highly skilled and motivated Senior Backend Engineer with 4–8 years of hands-on experience in building scalable, secure, and high-performance backend systems. The ideal candidate will have deep expertise in backend development and strong exposure to infrastructure design, cloud environments, and DevOps practices. You will play a key role in architecting robust systems, optimizing performance, and ensuring reliability across distributed environments. Key Responsibilities Design, develop, and maintain scalable backend services, APIs, and microservices architectures. Translate product requirements into well-architected, efficient, and maintainable backend solutions. Lead the design and implementation of high-availability and fault-tolerant systems. Optimize application performance, database queries, and system reliability. Collaborate closely with frontend engineers, product managers, QA, and DevOps teams to deliver end-to-end solutions. Own and improve CI/CD pipelines to enable seamless deployments across environments. Implement best practices for security, observability, monitoring, and logging. Drive infrastructure automation and ensure production stability. Participate in code reviews, mentor junior engineers, and uphold engineering excellence. Troubleshoot complex production issues and implement long-term fixes. Backend Expertise Strong proficiency in one or more backend languages such as Java, Python, Node.js, or Go. Extensive experience designing RESTful APIs and working with distributed systems. Solid understanding of system design principles, data structures, and algorithms. Experience with relational (PostgreSQL, MySQL) and NoSQL databases (MongoDB, Redis). Knowledge of message queues and event-driven systems (Kafka, RabbitMQ, etc.). Experience implementing authentication and authorization mechanisms (OAuth, JWT). Strong grasp of performance tuning, caching strategies, and scalability patterns. Familiarity with test-driven development and backend testing frameworks. Infrastructure & DevOps Expertise Hands-on experience with cloud platforms such as AWS, Azure, or GCP. Experience with containerization tools like Docker and orchestration platforms such as Kubernetes. Strong understanding of Infrastructure as Code (Terraform, CloudFormation). Experience setting up monitoring and alerting systems (Prometheus, Grafana, ELK stack). Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab CI). Knowledge of networking fundamentals, load balancing, and CDN concepts. Experience managing production environments and implementing disaster recovery strategies. Qualifications 4–8 years of professional experience in backend engineering. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. Proven experience building and scaling production-grade systems. Strong analytical and problem-solving skills. Excellent communication skills and ability to work in cross-functional teams. Experience working in Agile or Scrum environments. Nice to Have Experience with domain-driven design (DDD). Exposure to high-traffic or real-time systems. Background in fintech, SaaS, or platform-based products. Contributions to open-source projects.
Responsibilities
The role involves designing, developing, and maintaining scalable backend services, APIs, and microservices architectures while leading the implementation of high-availability and fault-tolerant systems. Key duties include optimizing performance, ensuring reliability, driving infrastructure automation, and participating in code reviews.
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