- Bybit
- Kuala Lumpur,
- 45 days ago
Senior Principal Backend Development Engineer.
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Senior Principal Backend Development Engineer: our view in 3 lines...
- The Role:This is a principal backend engineering role for someone building high-concurrency distributed systems for a cryptocurrency and digital finance platform.
- The Person:The person will lead technical solution design, implement high-concurrency distributed architectures, drive AI engineering adoption, solve complex technical problems, and train business teams on AI and engineering capabilities.
- Requirements:The role calls for Go or Java concurrent programming, distributed services and distributed storage, microservice architecture design, Linux OS, middleware such as etcd, Nacos and Kafka, gRPC, profiling tools and Arthas.
About the role
About Us
- Lead end-to-end technical solution design and drive implementation across the organization
- Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.)
- Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation
- Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection
- Provide technical guidance and training to business teams, driving the adoption and standardization of AI + engineering capabilities
- Proficient in Go or Java concurrent programming with deep understanding of high-concurrency system design and optimization
- Hands-on experience with distributed services and distributed storage; familiar with microservice architecture design
- Solid knowledge of Linux OS and system-level understanding of middleware (etcd, Nacos, Kafka)
- Expert-level proficiency in gRPC framework with development and performance tuning experience
- Skilled in using profiling tools, Arthas, and Linux command-line utilities for system analysis and troubleshooting
- AI engineering mindset with understanding of LLM fundamentals, capability boundaries, and practical engineering applications
- Ability to evaluate AI's impact on system stability, security, cost, and compliance from an architectural perspective
- Clear understanding of AI's "assistive role" in engineering — avoiding over-reliance while leveraging its strengths
- Bachelor's degree or above
- 3+ years of relevant development experience
- Strong communication skills and collaborative spirit
- Hands-on experience implementing AI-assisted development/code review (Copilot, Claude, DeepSeek, etc.) at the engineering team level
- Practical application of AI in log analysis, distributed tracing, performance profiling, and anomaly detection
- Design experience with AI knowledge augmentation (RAG) or tooling systems based on internal data (code, logs, metrics, documentation)
- Open-source project contributions
- Sustained technical blog or knowledge-sharing track record
- Experience designing financial systems, trading systems, or high-reliability systems
- AI-driven observability, automated operations, or stability engineering experience
- Deep familiarity with open-source middleware internals (Redis, Kafka, etc.)
- Microservice governance, service discovery, and configuration center design experience
- Proven track record in high-performance architecture design or AI engineering implementation
AI Engineering (High Priority): LLM understanding, AI-assisted development adoption, RAG/tooling design
Project Experience (High Priority): High-concurrency systems, distributed storage, microservice architecture
Problem Solving (High Priority): Profiling, Arthas, Linux command-line troubleshooting
Communication (Medium Priority): Technical training, cross-team alignment, solution evangelism
Industry Background (Medium Priority): Finance/trading/high-reliability systems
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Must lead AI capability implementation at the engineering level — not merely use AI tools
Must evaluate AI's impact on systems from an architectural perspective (stability, security, cost, compliance)
Must drive AI + engineering capability adoption and standardization across teamsInterview Focus AreasDistributed Architecture: High-concurrency design, microservice architecture, middleware selection and tuningAI Engineering: Depth of LLM understanding, AI implementation experience, awareness of AI limitationsProblem Solving: Complex troubleshooting experience, performance optimization case studiesDriving Adoption: Technical solution advocacy experience, cross-team collaboration skills
Why Join Us
At Bybit, we are committed to fostering a supportive and enriching work environment.
Our benefits include:
- Study Growth Fund: We support your professional development and continuous learning.
- Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation.
- Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world.
- Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company.
- Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.