About the Role:

We're looking for a Staff Software Engineer who will work across teams to design and implement robust solutions, mentor other engineers, and drive technical excellence. If you care about building and running reliable software systems in production, you'll like working at One2N.

You'll primarily work with our enterprise customers on One-to-N kind problems, where you:

• Design, build and scale reliable software systems that handle real-world production demands

• Solve technical challenges around performance bottlenecks and system scaling

• Build and scale platforms for high throughput and low latency

Key Responsibilities:

• Lead end-to-end architecture and design for large-scale systems and technical initiatives

• Create and maintain technical documentation through Architecture Design Records (ADR) and Request For Comments (RFC)

• Participate in architecture reviews and help teams make better technical decisions

• Drive improvements in system reliability, performance, and scalability

• Tackle complex technical challenges, especially around bottlenecks and scaling

• Mentor engineers through 1:1s, code reviews, and technical guidance

• Design high-throughput, low-latency systems that can scale

• Contribute to shared libraries, internal SDKs, and developer tooling to improve engineering efficiency

About You:

• 9+ years of professional programming experience with JVM languages (Java/Scala/Kotlin)

• Lead by example with high-quality, maintainable, and testable code and good architecture decisions

• Strong experience with:

  • REST API design and implementation

  • Spring Boot framework

  • Database schema modeling

  • Test-Driven Development (TDD)

  • Domain Driven Design

• Experience in building microservices architectures

• Strong testing skills with Unit and Integration testing. Good to have experience with Contract-driven tests.

• Ability to build reusable libraries/SDKs

• Brainstorm with product and business teams to prioritize the backlog

• Experience with Kafka for event-driven architectures to build auto-scaling data processing pipelines

• Exposure to AWS architecture, particularly with EKS and S3

• Understanding architecture implications for cost, security, and performance

Leadership & Communication:

• Track record of mentoring and coaching engineers

• Strong written and verbal communication skills

• Ability to influence without authority