Seeking a seasoned Back-End Developer with a strong track record in creating and deploying robust, large-scale distributed systems. This role involves more than just writing code; you'll be instrumental in architecting innovative solutions, tackling intricate technical problems, and guiding engineering teams to build highly reliable and efficient backend platforms.

Join a dynamic team focused on delivering cutting-edge Engineering as a Service and Operational solutions.

Architect and develop highly scalable, resilient, and secure backend systems. Design complex solutions leveraging microservices, event-driven, or domain-driven patterns. Lead backend design discussions and make critical architectural decisions. Build and maintain RESTful and GraphQL APIs, along with backend services. Optimize system performance through caching, efficient data management, and tuning. Work on large-scale data processing, high-throughput systems, and distributed architectures. Collaborate seamlessly with product, architecture, DevOps, and frontend teams for full-cycle delivery. Champion code quality, best practices, and engineering standards through reviews and mentorship. Proactively identify and mitigate technical risks, bottlenecks, and scalability challenges. Implement and support CI/CD pipelines, monitoring, and observability tools. Troubleshoot and resolve critical production issues with thorough root cause analysis. Explore and adopt AI-assisted development tools to enhance productivity and code quality.

Possess strong expertise in at least one backend technology such as Java (Spring Boot), Node.js, Python, or Go. Demonstrate experience in designing and implementing robust REST APIs. Exhibit a deep understanding of design patterns, clean architecture principles, and SOLID principles. Showcase strong experience with microservices architecture, event-driven systems, and distributed systems design. Proven ability to design fault-tolerant and highly available systems. Familiarity with API design best practices and versioning strategies is essential. Expertise in relational databases like PostgreSQL or MySQL, and NoSQL databases such as MongoDB, Cassandra, or Redis. Strong knowledge of data modeling, indexing, and performance tuning techniques. Experience with messaging systems like Kafka or RabbitMQ, and understanding of asynchronous processing and eventual consistency. Proficiency with CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps), containerization (Docker), and orchestration (Kubernetes). Hands-on experience with major cloud platforms including AWS, Azure, or GCP. Solid understanding of load balancing, caching mechanisms (Redis, CDN), performance tuning, and system bottleneck analysis.