Senior Backend Engineer: Scalable Systems (Java/Kotlin + Spring)

incode; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

incode is seeking an experienced backend engineer to design and build backend services for products used at large scale, focusing on reliability, performance, and maintainability. You will work across the service lifecycle from modeling and API design to production support.

Responsibilities include decomposing monoliths, planning data migrations, and improving performance; establishing logging, monitoring, and tracing; and collaborating with product, infra, and engineering teams.

Qualifications

• At least five years of professional software development experience.
• Proficiency in Java or Kotlin and the Spring framework ecosystem.
• Experience with PostgreSQL, MongoDB, and Redis.
• Hands-on knowledge of domain modeling and REST API design.
• Experience with observability practices covering logging, monitoring, and tracing.
• A track record of delivering scalable, reliable, and maintainable systems.

Responsibilities

• Architect and implement resilient backend systems designed to support millions of active users.
• Build and maintain services from early design and prototyping through deployment, monitoring, and production support.
• Develop clean, maintainable, well-tested code and take part in code reviews.
• Decompose monolithic applications into services, plan data migrations, and improve system performance.
• Establish logging, monitoring, and tracing practices; investigate system health and performance bottlenecks.
• Collaborate with product, infrastructure, and engineering colleagues, and support peers through technical guidance and mentoring.

Skills

Java / Kotlin

Spring Framework

REST API design

Domain modeling

Observability (logging/monitoring/trac

Scalable systems

Tools

PostgreSQL

MongoDB

Redis

Job description

incode is seeking an experienced backend engineer to design and build backend services for products used at large scale, focusing on reliability, performance, and maintainability. You will work across the service lifecycle from modeling and API design to production support.

Responsibilities include decomposing monoliths, planning data migrations, and improving performance; establishing logging, monitoring, and tracing; and collaborating with product, infra, and engineering teams.