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Senior Backend Development Engineer

Bybit

On-site
Kuala Lumpur, Malaysia
Full-time
Senior
Principal
3+ yrs
Salary not listedPosted 5h ago

Real job — pulled straight from Bybit’s careers page · Verified August 16, 2026 · No reposts.

Job description

Bybit is hiring a Senior Backend Development Engineer — a full-time, based in Kuala Lumpur, Malaysia role. Apply directly on Bybit's careers page below.

Senior Principal Backend Development Engineer

Location: Kuala Lumpur, Malaysia

Department: Architecture

About Us

Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance.
 
Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution.
 
Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services.
Responsibilities
 
  1. Lead end-to-end technical solution design and drive implementation across the organization
  2. Spearhead AI engineering adoption (AI-assisted development, AI code review, AI-powered observability, AI-driven operations automation, etc.)
  3. Proactively resolve complex technical challenges across business lines, improving efficiency and quality through technical innovation
  4. Design and optimize high-concurrency, distributed system architectures; explore AI applications in capacity planning, performance bottleneck analysis, and anomaly detection
  5. Provide technical guidance and training to business teams, driving the adoption and standardization of AI + engineering capabilities
Requirements
 
Must-Have
 
I. Core Engineering & Architecture
 
  • 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
II. AI & Intelligent Systems
 
  • 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
III. Experience & Education
 
  • Bachelor's degree or above
  • 3+ years of relevant development experience
  • Strong communication skills and collaborative spirit
Preferred Qualifications
 
  • 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
Nice-to-Have
 
  • 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
Core Competency Matrix
 
Technical Skills (High Priority): Go/Java concurrency, distributed architecture, middleware, gRPC, performance tuning
 
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
 
Role Characteristics
 
Core Positioning: A hybrid AI + Architecture role that requires not only traditional distributed systems expertise but emphasizes AI engineering adoption capabilities.
 
Key Differentiators:
  1. 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 teams
     
    Interview Focus Areas
    Distributed Architecture: High-concurrency design, microservice architecture, middleware selection and tuning
     
    AI Engineering: Depth of LLM understanding, AI implementation experience, awareness of AI limitations
     
    Problem Solving: Complex troubleshooting experience, performance optimization case studies
     
    Driving 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.

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Frequently asked questions

What skills are required for Senior Backend Development Engineer at Bybit?

The required skills for Senior Backend Development Engineer at Bybit include: Go, Java, Microservices, Linux, Kafka, gRPC, LLM, RAG.

What is the seniority level for Senior Backend Development Engineer at Bybit?

Senior Backend Development Engineer at Bybit is a Senior / Principal level position.

How do I apply for Senior Backend Development Engineer at Bybit?

You can view the full description and apply for Senior Backend Development Engineer at Bybit on EchoJobs: https://echojobs.io/job/bybit-senior-principal-backend-development-engineer-hhn3u.