Software Development Engineer- II (Backend)

Design, develop, and maintain scalable, secure, and reliable services and applications, including system design (low-level design), API design, and data modeling within your team s domain.

Write clean, testable, and maintainable code, perform code reviews, and contribute to engineering standards that improve quality, performance, and operability of services across multiple domains.

Collaborate with product, design, and other engineering teams to break down business problems, define technical solutions, and deliver features that positively impact customers and partners.

Own and improve the operational health of your services, including monitoring, alerting, incident response, root-cause analysis, and continuous improvement for performance and reliability.

Safely integrate and operate AI/ML enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Learn and apply new technologies, frameworks, and patterns as needed, contributing to a culture of knowledge sharing, experimentation, and engineering excellence across teams.

Bachelor s degree in Computer Science or a related technical field; or Equivalent related professional experience.

2+ years of relevant backend professional experience using modern languages Java/ Kotlin

Professional experience as a software development engineer building and operating production services or applications, with ownership of at least one significant service or component.

Proficiency in at least one modern programming language and associated ecosystem, with experience in service development, system design (LLD), API design, and data modeling.

Experience with SDLC practices such as version control, code review, automated testing, CI/CD, and basic observability (logging, metrics, dashboards).

Experience designing and implementing scalable, fault-tolerant, and secure distributed systems or services that support high availability in production.

Demonstrated strength in API and data model design, including performance optimization, resiliency patterns, and effective use of storage and caching technologies.

Proven experience improving operational excellence through better monitoring, alerting, incident management, and data driven optimization of systems in your ownership scope.

Exposure to or experience integrating AI/ML powered features in production services (for example, personalization, recommendations, or intelligent automation) and safely operating these solutions at scale.

Familiarity with applying AI-assisted development tools or workflows to improve developer productivity while maintaining code quality, security, and compliance, including safely integrating and operating AI/ML enabled solutions that improve outcomes.