Top Software Engineer Jobs in Austin, TX
Principal Site Reliability Engineer focused on running mission critical datastores like ElasticSearch, Kafka, MongoDB, MySQL, etc. Responsible for datastores reliability, performance, and emergency response. Innovating and providing technical vision for building reliable and scalable datastores on a multi-region scale platform.
The Principal Engineer in the Platform Engineering Group at ThousandEyes will be responsible for setting the technical direction and ensuring the team meets future challenges. They will lead in quality, operational excellence, and security while solving complex problems with maintainable solutions. The role requires expertise in Java, performance, scalability, distributed systems, engineering best practices, and more. The ideal candidate should have a Bachelor's degree in Computer Science or similar field.
Lead a team of talented engineers to deliver architectural proposals, optimize systems, and enhance Developer Experience. Responsible for managing infrastructure, implementing automation, and ensuring compliance and risk management.
As a Principal Software Engineer at ThousandEyes, you will lead architectural and design direction for AI/ML workloads, on-premises solutions, and cloud-based applications. You will work with a technology stack including Java, Python, and Kubernetes to deliver Network Assurance to clients. Responsibilities also include collaborating with teams, ensuring optimal architectural strategies, and promoting Operational Excellence.
Senior Site Reliability Engineer II role focused on designing and operating FedRAMP-compliant infrastructure and systems. Responsibilities include ensuring availability, latency, and performance of the platform's Federal region infrastructure, implementing security controls, and driving automation for scalability. Requires 5+ years of experience with FedRAMP environments and cybersecurity risks.
Lead Software Engineer role in the Events team at Cisco ThousandEyes, responsible for building a scalable stream processing platform to detect anomalies and provide actionable insights to customers. Utilizes technologies like Java, Spark, Flink, Kafka, and more to detect anomalies across billions of events in real-time.
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