Senior Principal Site Reliability Engineer

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. Core Responsibilities

Chaos Engineering Platform Architecture & Development (50%)

Design and build an enterprise-grade chaos engineering platform supporting multi-cluster (K8s + EC2 hybrid), multi-region, and multi-environment (testnet/mainnet) deployments

Core capability development:

Fault Injection Engine: Pod-level / Node-level / AZ-level fault simulation, network latency / packet loss / partition, dependency timeout / error injection

Production Safety Assurance: Blast radius control, one-click Kill Switch, automatic rollback, real-time impact monitoring

Traffic Isolation: Experiment traffic tagging and isolation to ensure fault injection does not impact real users

Fault Isolation: Precise impact scoping at service / cluster / AZ granularity

Design experiment orchestration capabilities supporting complex fault scenario composition (e.g., simultaneous network latency + downstream timeout + cache invalidation)

Deep integration with existing monitoring, alerting, and SLO systems to achieve an automated closed loop: inject fault → observe impact → determine pass/fail

Production Resilience Validation Framework (30%)

Define safety standards and approval workflows for mainnet fault injection

Design and drive routine chaos experiments:

Daily patrol-level experiments: Low-risk experiments executed automatically on a daily/weekly basis

Periodic validation experiments: Monthly/quarterly resilience verification of critical paths

Large-scale drills: Cross-AZ / cross-region disaster recovery failover validation

Establish a resilience scoring system to quantify system health based on experiment results

Deliver improvement recommendations and drive business teams to remediate identified weaknesses

3. Technology Selection & Team Enablement (20%)

Evaluate and select the technology foundation (Chaos Mesh / Litmus / custom components — hybrid strategy)

Develop chaos engineering best practices and playbooks to enable SRE teams and application developers

Mentor and grow the team (2–3 engineers) in chaos engineering capabilities

Stay current with industry developments and introduce cutting-edge practices (e.g., AI-driven fault scenario discovery)

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Requirements

Must-Have:

8+ years of backend / infrastructure engineering experience, with 3+ years dedicated to chaos engineering or stability engineering

Hands-on experience with large-scale fault injection in production environments (not just test environments), with deep understanding of production safety constraints

Expert-level proficiency in Kubernetes fault injection (Chaos Mesh / Litmus / custom solutions), familiar with CRD / Operator development

Proficient in at least one backend language (Go preferred), with platform-level system architecture design capability

Deep understanding of distributed system failure modes (network partitions, split-brain, cascading failures, data inconsistency, etc.)

Familiarity with observability tech stack (Prometheus / Grafana / Thanos / OpenTelemetry)

Excellent technical documentation and solution design skills

Nice-to-Have:

Experience in financial / trading system stability (understanding of transaction consistency and fund safety constraints)

Experience building SLO / Error Budget frameworks

Experience building automated fault recovery (self-healing) systems

Familiarity with AWS infrastructure (EC2 / EKS / Multi-AZ / Multi-Region)

Knowledge of Netflix Chaos Engineering / AWS Fault Injection Simulator / Gremlin

Open-source community contributions (Chaos Mesh / Litmus or similar projects)

Soft Skills:

Ability to balance "safety" and "validation depth" — not afraid of production injection, while maintaining strict risk control

Strong cross-team collaboration and influence — chaos engineering requires buy-in from business teams; this role demands persuasion skills

Self-driven, capable of independently planning and executing in ambiguous situations Why Join UsAt 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.