Senior Software Engineer, Platform Performance at Lucidworks
India / Remote


About the Team
The Platform team at Lucidworks builds the foundation of our cloud-native microservices architecture orchestrated by Kubernetes. The Platform team owns the design and implementation of our API gateway, security, cloud ops, workflows and job scheduling, Apache Spark integration, messaging framework (Apache Pulsar), and ML model ops / serving infrastructure (Seldon Core / Argo). Underlying all of these capabilities, we support a service mesh built on Spring Cloud that provides security, observability, resiliency, and reliability under massive load.
About the Role
To be successful in this role, you need a DevOps mindset coupled with a solid foundation in designing and building microservices. We also want you to bring strong opinions, but weakly held about architecture and design decisions. You'll be expected to write code, lots of it. We support first-class product features written in Java, Python, Scala, and Go; you don't need to know all of these but must be proficient in at least two. 
You should be passionate about Kubernetes and cloud native technologies in general. Every millisecond counts should be your daily mantra!
This role reports directly to the Chief Architect.
About You
Flexibility is a must! In any given sprint, you may work on improving our service discovery mechanism, help design a performance / load test, solve a customer scalability problem, or solve a performance issue with ML model serving. Our team's motto is fast-paced without cutting corners so you should be comfortable with the team moving fast around and with you.

You will:

    • Implement robust network resiliency strategies between microservices
    • Implement highly-scalable load balancing strategies in Kubernetes capable of handling 10's of thousands of requests per second
    • Implement distributed tracing and metrics to understand the behavior of our service mesh under high load in cloud environments
    • Automate performance and load test frameworks using Gatling and Spark
    • Work closely with our CloudOps team to drive engineering improvements to better support operations, performance, and scalability

We're looking for:

    • 5+ years of professional experience working with large-scale distributed systems
    • 3+ years of professional experience using Java profilers to find and fix code inefficiencies (YourKit preferred)
    • BS in computer science or similar field; Masters degree or higher preferred
    • Solid understanding of Kubernetes, Helm, and Docker
    • Experience with Prometheus and Grafana a plus
Please note that at this time Lucidworks is unable to sponsor employment authorization (both new and transfer).
About Lucidworks
Lucidworks is leading digital transformation by fusing the power of search and artificial intelligence to create connected experiences for work, shopping, research and support.