Remote Senior Technical Lead – Scalable Systems & Architecture

NinjaOne

Austin, Tampa (TX, FL)

Hybrid

USD 190,000 - 280,000

Full time

14 days+

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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k) plan
Unlimited PTO

Job summary

NinjaOne in the United States is seeking a Senior Software Engineer, Technical Lead to shape the technical direction and own large-scale initiatives. You will mentor engineers, drive architectural decisions, and ensure scalable, high-availability services for millions of endpoints across our cloud platform.

You will work autonomously, partner with product and infra teams, and apply best practices while thoughtfully integrating AI-assisted tooling to improve coding, testing, and deployment

Qualifications

  • 12+ years of Java software development for product applications.
  • 5+ years designing and operating highly scalable systems.
  • Experience solving complex system design challenges at scale and bottlenecks.
  • Experience distributed-systems patterns (Saga, CQRS, outbox, circuit breaker, bulkhead, event sourcing, idempotency).

Responsibilities

  • Provide technical leadership and architecture direction.
  • Make autonomous high-impact technical decisions.
  • Collaborate with product, infra, and engineering teams.
  • Mentor engineers and set technical standards.
  • Own large-scale, multi-team initiatives.
  • Advocate for quality and performance.
  • Apply AI tools responsibly in daily work.

Skills

Java
Kotlin
C++
Golang
Postgres
API design
OOP

Education

Bachelor's degree in CS/CE/IT or equivalent

Tools

Spring Boot
Jersey

Job description

NinjaOne in the United States is seeking a Senior Software Engineer, Technical Lead to shape the technical direction and own large-scale initiatives. You will mentor engineers, drive architectural decisions, and ensure scalable, high-availability services for millions of endpoints across our cloud platform.

You will work autonomously, partner with product and infra teams, and apply best practices while thoughtfully integrating AI-assisted tooling to improve coding, testing, and deployment

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