Lead the chaos engineering strategy and experiments for Solace’s enterprise AI platform, ensuring system resilience across distributed, event‑driven architectures.
Responsibilities
Own the chaos engineering strategy for the Solace platform
Build a deep understanding of customer use cases and translate them into explicit expectations of how the system must behave under failure
Design, implement, and execute chaos experiments and cloud‑provider fault injection services
Verify that the system behaves correctly under failure
Debug complex, multi‑system failures and trace issues to their root cause
Design and develop scalable data platforms and analytics SaaS services in the public cloud.
Compensation
The US base salary range for this full-time position is $86,000 - $164,000.
Responsibilities
Develop and maintain robust, scalable Spring Boot applications for data processing and analytics.
Design, build, and operate cloud-native, enterprise-grade data platforms and analytics SaaS offerings using technologies such as Spark, Iceberg, Kafka, AWS Redshift, and AWS EMR.
Collaborate with cross-functional teams to deliver secure, efficient, and innovative solutions that align with Guidewire’s product and customer goals.
Drive adoption of AI, cloud, and data platform capabilities, contributing to transformative innovation and operational excellence within Product Development and Operations (PDO).
Support team members, fostering a culture of continuous learning and technical excellence.
Requirements
Bachelor’s/Master’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
Nice to have: Experience building and maintaining Spring Boot applications
Nice to have: Experience with Spark, Iceberg, Kafka, AWS Redshift, AWS EMR, Terraform/CloudFormation, Kubernetes
Nice to have: Experience in the insurance or SaaS industry
Nice to have: Familiarity with additional cloud platforms or data engineering tools
T
Site Reliability Engineer II (SRE II) – Data & Intelligence
Responsible for ensuring reliability, scalability, performance, security, and operational excellence of data platforms, analytics systems, AI/ML services, and business intelligence applications.
Locations (4)
Dallas, Texas, United States
Overland Park, Kansas, United States
Atlanta, Georgia, United States
Bellevue, Washington, United States
Responsibilities
Ensure availability, performance, scalability, and reliability of data and intelligence platforms
Manage production environments supporting data ingestion, processing, transformation, storage, analytics, and AI/ML workloads
Infrastructure Engineer/Architect - DDIL SMENewMantis Security Corporation · Charleston, US
Senior Chaos EngineerNewSolace Corporation
Cloud Infrastructure Engineer (Open LMS) Colombia, RemoteLTG · Remote, Colombia