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

Own end-to-end technical solution design and delivery for company-wide technical initiatives
Lead the engineering implementation of AI capabilities, including but not limited to 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 + engineering capabilities across the organization

Requirements I. Core Engineering & Architecture

Strong coding fundamentals: proficiency in Go or Java concurrent programming, with 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

II. AI & Intelligence Engineering

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

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 16 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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