About the role

Intermediate Chaos Engineer responsible for designing and executing chaos experiments to enhance resilience in enterprise AI applications. Collaborating cross-functionally to improve system reliability in the R&D team.

Responsibilities

Design, implement, and execute chaos experiments using Chaos Mesh, AWS Fault Injection Simulator (FIS), and other cloud-provider fault injection services to proactively surface reliability gaps in the Solace platform
Leverage AI tools and techniques to enhance experiment design, automate analysis, and accelerate root cause investigations — actively pushing the team toward AI-native ways of working
Debug complex, multi-system failures with rigor and curiosity, tracing issues to their root cause across cloud infrastructure, Kubernetes, and application layers
Collaborate with engineering squads across R&D to share findings, drive remediation, and embed resilience thinking into how we build and operate
Define and track reliability metrics and experiment outcomes, translating results into concrete recommendations that reduce customer-impacting incidents
Continuously expand the chaos experiment library, staying current with emerging tooling, cloud-native failure patterns, and industry best practices
Contribute to a culture of proactive quality — finding issues before our customers can

3+ years of hands-on experience in chaos engineering, site reliability engineering, or a closely related discipline
Proven experience running chaos experiments with Chaos Mesh and/or cloud-provider fault injection services such as AWS Fault Injection Simulator, Azure Chaos Studio, or GCP Fault Injection Testing
Exceptional debugging and root cause analysis skills — you love getting to the bottom of a problem and don’t stop until you understand why
Solid understanding of cloud environments (AWS, Azure, or GCP) and containerized infrastructure, with meaningful Kubernetes experience
Enthusiasm for AI as a native part of how you work — you actively use AI tools to move faster, think deeper, and do more, and you help bring that mindset to those around you
Experience working cross-functionally with multiple engineering teams, comfortable navigating ambiguity and aligning stakeholders around reliability findings
Strong scripting and automation skills (Python, Bash, or similar) to build and maintain experiment tooling
Familiarity with observability tooling (metrics, logs, traces) and using them to validate experiment outcomes and system health
Knowledge of distributed systems concepts and failure modes relevant to high-throughput, event-driven architectures
Experience with messaging systems or event streaming technologies is a strong asset

Work with brilliance – Our team is packed with some of the sharpest minds in the industry.
Balance matters – We believe work should fit into your life, not the other way around.
Hybrid-first – Flexibility is built into how we work, so everyone feels included and empowered.
Values-driven – We live and breathe our core values: craftsmanship, trust, courage, freedom, momentum, humility, and human experience.
Growth mindset – Our training programs are designed to help you level up, fast.
Customer Obsessed – We’re proud of our world-class customer lineup (we’re not shy about it).
Keep it fun – We’re social, we keep things simple, and we know how to have a good time.
Creative culture – We’ve got a great sense of humour and we make cool videos on topics like MITT and this (check them out!).