Senior Principal Backend Development Engineer

AI in this role

claudecopilotdeepseek

rag

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

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

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:

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.

How we rate this

Senior Principal Backend Development Engineer at Bybit rates 17 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

RAGClaudeCopilotDeepseek

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Walk me through how you've used Claude in your day-to-day work.
What are the limits of Copilot that you've run into, and how did you work around them?
What's a project where you used Deepseek hands-on?

Adapt your resume

List these exact terms on your resume: RAG, Claude, Copilot, and Deepseek. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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