Senior Backend Engineer

Key Responsibilities

• Design, develop, test, and maintain scalable backend applications and services.
• Build secure, reliable, and high-performance RESTful APIs and, where appropriate, GraphQL services.
• Develop modular, maintainable, and reusable code following established software engineering principles.
• Make architectural decisions that support scalability, reliability, and long-term product growth.
• Identify and resolve performance bottlenecks, production issues, and technical debt.

• Design and optimize database schemas, queries, indexes, and data access patterns.
• Work with relational and NoSQL databases to support application requirements.
• Ensure data integrity, consistency, availability, and efficient storage.
• Implement caching strategies and other performance optimization techniques.

• Develop backend systems capable of handling increasing traffic and growing data volumes.
• Implement monitoring, logging, error handling, and fault-tolerance mechanisms.
• Participate in code reviews, automated testing, debugging, and production deployments.
• Collaborate with DevOps and infrastructure teams to improve deployment workflows and system observability.

• Work closely with product and engineering teams to translate business requirements into technical solutions.
• Mentor junior engineers and contribute to coding standards, documentation, and engineering practices.
• Evaluate emerging technologies and recommend improvements to existing systems.

Required Skills and Qualifications

• Must-have: Strong experience in Backend Engineering, including application development, API design, system architecture, and performance optimization.
• Proficiency in one or more backend programming languages, such as Python, Java, Go, Node.js, or similar technologies.
• Strong understanding of data structures, algorithms, object-oriented programming, and software design principles.
• Experience with SQL and/or NoSQL databases, caching systems, and API integrations.
• Familiarity with version control, automated testing, CI/CD pipelines, and production debugging.
• Understanding of application security, authentication, authorization, and secure coding practices.

Good-to-Have Skills

• Distributed Systems: Experience with microservices, message queues, event-driven architectures, concurrency, and fault-tolerant systems.
• Data Engineering: Familiarity with data pipelines, ETL/ELT workflows, streaming systems, and large-scale data processing.
• Platform Engineering: Experience with cloud platforms, containerization, Kubernetes, infrastructure automation, and developer platforms.
• Exposure to AWS, Azure, or Google Cloud Platform is an advantage.

Ideal Candidate

The ideal candidate is a proactive problem-solver with strong analytical skills, sound engineering judgment, and a commitment to building dependable software. They should be comfortable taking ownership of complex technical challenges, collaborating across teams, and improving system performance, scalability, and maintainability.