Corporate Process Engineer at IKO Industries providing process engineering services to optimize and improve facilities. Engaging in process optimization studies and collaborating with plant engineers.
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
Requirements
- 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
Benefits
- 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!).
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