Elasticsearch Jobs

Develop deployment automation to provide a fully functional cloud stack in Azure that supports the Client's environment. Travel up to 0 - 10% annually.

Develop deployment automation to provide a fully functional cloud stack in Azure that supports client environment. Lead a team and/or project.

Troubleshoots priority incidents, interface with Engineering/Product teams and ensure remediation/permanent closure of incidents.

As an experienced Site Reliability Engineer -Infra, you will have the ability to share new ideas and collaborate on projects as a consultant without the…

You will be based in Jersey City or NY Metro in a new team to build a set of products that enables firm wide, end to end ML lifecycle management & governance…

You are a Data Engineer with experience in processing terabytes of data. You have experience in creating and automating scalable, fault-tolerant and…

Duties: Partner with stakeholders inside and outside of the department to understand needs and design and develop robust data solutions that meet and/or exceed…

The Oak Ridge National Laboratory (ORNL) operates several simulation and experimental facilities such as the Oak Ridge Leadership Computing Facility (OLCF),…

Team: S&P Global Marketplace technology team consists of geographically diversified software engineers responsible to develop scalable solutions by working…

Jenkins, Puppet, Dynatrace, AppDynamics, Kubernetes, monitoring tools, cloud, AWS, Java, microservice, Ubuntu(Linux), Maven, Grafana*.

BS/BA degree in computer science or engineering or equivalent experience. Advanced knowledge of application, data, and infrastructure architecture disciplines.

Bachelor's degree or equivalent experience in a software engineering discipline. Mastery in at least two or more software languages (e.g. Python, Java, Go, etc.…

Micro-services design and implementation. Distributed system design (messaging semantics, stream processing, eventual consistency).

Much of our support and software development focuses on optimizing existing systems, building infrastructure and eliminating work through automation.

BS/BA degree in computer science, engineering or equivalent experience. Expertise in application, data, and infrastructure architecture disciplines.