Senior Principal Backend Development Engineer Kuala Lumpur, Malaysia

Bybit Limited; Kuala Lumpur; On-site; MYR 200,000 - 360,000; Full time

Benefits offered by this job

Study Growth Fund

Internal Events

Global Collaboration

Career Advancement

Internal Mobility

Job summary

Bybit Limited in Kuala Lumpur is seeking an experienced engineer to own end-to-end technical designs for company-wide initiatives and to lead AI capability implementations. You will drive AI-assisted development, code review optimization, and AI-driven operations automation while addressing complex technical challenges across lines of business.

The role focuses on high-concurrency, distributed systems, and capacity planning with a strong emphasis on AI knowledge augmentation and architectural

Qualifications

• Bachelor's degree or above in a related field, plus 3+ years of development experience.
• Experience with Go or Java, and high-concurrency systems.
• Familiarity with distributed systems, microservices, and middleware.

Responsibilities

• Own end-to-end technical solution design and delivery for company-wide initiatives.
• Lead AI capabilities implementation, including AI-assisted development and AI automation.
• Resolve complex technical challenges to improve efficiency and quality across business lines.
• Design and optimize high-concurrency, distributed architectures and AI-driven capacity planning.

Skills

Go/Java concurrency

Distributed systems

Linux

gRPC

LLM fundamentals

AI engineering mindset

Code reviews / AI tooling

Education

Bachelor's degree or above

Tools

Arthas

Kafka

Nacos

etcd

Job description

Responsibilities

• Own end-to-end technical solution design and delivery for company-wide technical initiatives.
• Lead the engineering implementation of AI capabilities, including AI-assisted development, AI code review, AI observability analysis, and AI-driven operations automation.
• Proactively resolve complex technical challenges across business lines, driving improvements in efficiency and quality through technical means.
• Design and optimize high-concurrency, distributed system architectures, and explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection.
• Provide technical support and training to business teams, promoting the adoption and standardization of AI and engineering capabilities across the organization.

Qualifications

• Core Engineering & Architecture
• Strong coding fundamentals: proficiency in Go or Java concurrent programming, deep understanding of design and optimization in high-concurrency scenarios.
• Distributed systems experience: hands‑on experience with distributed services and distributed storage; familiarity with microservices architecture design.
• System optimization: solid knowledge of Linux OS; understanding of middleware internals and engineering practices (e.g., etcd, Nacos, Kafka).
• Frameworks & protocols: proficiency in gRPC; experience with development and performance tuning is a plus.
• Troubleshooting skills: proficient with profiling tools, Arthas, and Linux CLI for system analysis and issue diagnosis.
• AI engineering mindset: understanding of LLM fundamentals, capability boundaries, and practical engineering usage.
• Preferred: one or more of the following:
• Engineering experience with AI-assisted development / code review tools (e.g., Copilot, Claude, DeepSeek).
• Practical experience applying AI to log analysis, distributed tracing, performance profiling, or anomaly detection.
• Design experience with AI knowledge augmentation (RAG) or tooling systems built on internal data (code, logs, metrics, docs).
• Ability to evaluate the impact of AI capabilities on system stability, security, cost, and compliance from an architectural perspective.
• Clear understanding of AI's role as an "assistive tool" in engineering — avoids over-reliance and demonstrates sound engineering judgment.
• Experience & Contributions
• Bachelor's degree or above; 3+ years of relevant development experience.
• Open-source contributions, or a track record of technical blogging / knowledge sharing is a plus.
• Strong communication and collaboration skills; ability to drive holistic improvements across AI, architecture, and engineering efficiency.

Bonus Points

• Experience designing financial systems, trading systems, or high-availability systems.
• Hands‑on experience with AI-driven observability, automated operations, or stability governance.
• Familiarity with the design and internals of multiple open-source middleware solutions (e.g., Redis, Kafka).
• Experience with microservices governance, service discovery, or configuration management systems.
• Proven solutions or successful case studies in high-performance architecture design or AI engineering implementation.

Benefits

• Study Growth Fund: support for professional development and continuous learning.
• Internal Events: regular team-building activities, workshops, and events designed to promote collaboration and innovation.
• Global Collaboration: work alongside a diverse, international team.
• Career Advancement: opportunities for growth and advancement within a rapidly expanding global company.
• Internal Mobility: long-term development with internal job opportunities to build your career path.