Sr Engineer

Overview

Senior Backend Engineer role building scalable, distributed Java backend services, contributing to architecture decisions, and owning services end-to-end in production.

What you'll do

• Design and build high-quality, scalable, and resilient backend services using Java and Spring Boot
• Lead system design and architecture discussions, making informed trade-offs across performance, scalability, and reliability
• Own services end-to-end in production, ensuring availability, latency, and SLA adherence
• Drive best practices for distributed systems design, fault tolerance, and observability
• Write clean, maintainable, and well-tested code, and set a high bar for engineering quality
• Conduct code reviews and mentor engineers, improving overall team capability
• Troubleshoot complex production issues, lead root cause analysis, and implement durable fixes
• Collaborate cross-functionally with product, UX, and platform teams to deliver solutions end-to-end
• Partner with DevOps to enhance CI/CD pipelines and optimize Kubernetes-based deployments
• Contribute to architecture governance, documenting designs, trade-offs, and operational runbooks
• Influence technical direction by evaluating tools, technologies, and system improvements
• Contribute to building next-generation platform capabilities leveraging agent-based and AI-driven orchestration systems

What you'll need

• Bachelor's degree in Computer Science or equivalent practical experience
• 4+ years of professional software development experience
• Strong proficiency in Java and deep experience with Spring Boot
• Proven experience building microservices and RESTful APIs
• Strong understanding of distributed systems principles: scalability, reliability, consistency, and fault tolerance
• Hands-on experience with messaging systems (e.g., Kafka, RabbitMQ)
• Experience with cloud-native environments (Docker, Kubernetes)
• Strong database fundamentals across relational (MySQL/Postgres) and NoSQL (MongoDB/Redis) systems
• Experience with modern engineering practices: Git, CI/CD, automated testing, and observability tools
• Strong problem-solving skills and ability to drive solutions in ambiguous environments
• Demonstrated ability to mentor engineers and influence technical decisions
• Proven track record of delivering reliable, scalable systems in production

Nice to have

• Experience with event-driven architectures or streaming systems
• Exposure to high-scale, low-latency systems
• Familiarity with infrastructure-as-code tools (e.g., Terraform)
• Experience with performance tuning and system optimization
• Familiarity with AI-assisted developer tools (e.g., GitHub Copilot, ChatGPT)
• Familiarity with agentic platforms and AI-driven application architectures, including concepts like orchestration of autonomous agents, tool usage, and workflow-based systems