Gremlin is a company dedicated to enhancing enterprise software reliability. It offers an enterprise reliability platform with features like reliability management, chaos engineering, and fault injection to help organizations identify and mitigate reliability risks. Gremlin empowers clients by finding and fixing potential failures and scoring system reliability to enhance resilience and minimize downtime. By supporting industries like finance and retail, Gremlin aims to build trust in complex systems and modernize reliability practices, making them more robust and dependable.
Distributed Systems • Resilience • Failures as a Service • DevOps • Chaos Engineering
March 30
Gremlin is a company dedicated to enhancing enterprise software reliability. It offers an enterprise reliability platform with features like reliability management, chaos engineering, and fault injection to help organizations identify and mitigate reliability risks. Gremlin empowers clients by finding and fixing potential failures and scoring system reliability to enhance resilience and minimize downtime. By supporting industries like finance and retail, Gremlin aims to build trust in complex systems and modernize reliability practices, making them more robust and dependable.
Distributed Systems • Resilience • Failures as a Service • DevOps • Chaos Engineering
• Today’s complex, fast-paced systems have become a minefield of reliability risks—any of which could cause an outage that costs millions and destroys customer confidence. • Gremlin Reliability Platform helps software teams proactively monitor and test their systems for common reliability risks. • As a Software Engineer at Gremlin, you will have the opportunity to improve the reliability of the internet at large by developing Chaos Engineering tooling. • You will work closely with a small, talented team focused on quality, delivery, and predictability.
• 5+ years professional Java software engineering experience • Experience in Go & Systems Level Programming • Experience in cloud technologies: e.g AWS, Lambda, Serverless. Experience with other cloud technologies like Google, Oracle also considered • Experience in DynamoDB and/or other no-sql DB or experience in any major relational databases • Experience in infrastructure & systems level technologies: e.g., Linux, Docker, Kubernetes, OpenShiftExperience in architecting complex distributed systems and integrating with external systems • Strong advocate and practitioner of automated testing, CI/CD, and engineering best practices
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