3 months ago
Sŏngnam, Korea, SouthSenior
Responsibilities
- Define SLA/SLO performance goals during service design and propose performance-focused architecture.
- Build CI/CD-based performance test automation and continuous validation systems.
- Design and operate performance test scenarios for large-scale traffic and vehicle-data processing environments.
- Analyze and improve performance bottlenecks across applications, databases, infrastructure, and networks.
- Use AI-based tools to advance performance testing automation and analysis processes.
- Forecast infrastructure capacity and establish cost-efficient scaling strategies as the business grows.
- Collaborate with major platform development organizations including Gleo AI and App Market.
Requirements
- At least seven years of backend development or performance engineering experience.
- Experience with MSA-based service architecture and performance optimization.
- Experience using performance testing tools such as k6, Locust, and JMeter.
- Experience analyzing and tuning system performance across Linux, JVM, and databases.
- Understanding of DevOps and CI/CD-based development environments.
- Ability to communicate technical subjects effectively and collaborate with diverse stakeholders.
- Preferred: experience operating and optimizing AWS services including EKS, RDS, and Kafka.
- Preferred: experience building observability platforms with Datadog, Prometheus, or Grafana.
- Preferred: experience optimizing large-scale data platforms or real-time messaging systems.
- Preferred: experience with Chaos Engineering, resilience validation, FinOps, or AI-based development tools.
Benefits
- A three-month probationary period may apply.
- The interview process includes document screening, a coding test, video and/or in-person interviews, and compensation discussions.
- Interviews may be conducted remotely or in person depending on the stage.
- Veterans and individuals eligible for employment protection or disability employment support receive preference according to applicable law.
- A reference check may be conducted with the applicant’s consent after the interview process.
Tech Stack
Categories
About 42dot
42dot builds software-defined vehicle and autonomous mobility platforms for automakers and mobility service providers. Its products include AI-driven vehicle software, data-based update services, and core platform components such as API gateways and identity/access management to connect services securely. The privately held company is headquartered in Seongnam-si, Gyeonggi-do, and focuses on transportation and automotive markets.