Apply on Employer Site

New Relic · 1 week ago

Software Engineer-Kubernetes

Portland, Oregon, USA

Full-time

Hybrid

Entry, Mid Level

$108K/yr - $133K/yr

2+ years exp

New Relic is a global team dedicated to shaping the future of observability by providing intelligent platforms for companies. They are seeking a Software Engineer to join their Cloud Platform Engineering group, responsible for developing and maintaining backend infrastructure for Kubernetes clusters on multi-cloud platforms.

AnalyticsApplication Performance ManagementCloud ComputingIT InfrastructureMobileSaaSSoftware

Comp. & Benefits

No H1B

Responsibilities

Build, maintain, and scale Go clients/projects and their support tools

Contribute to New Relic infrastructure to develop and manage it

Contribute to Open Source and get the chance to grow your reputation and skills

Collaborate with team members to discuss and implement service improvements, and research new tools and services to solve sophisticated problems properly

Ship incrementally and often, helping the team to maintain a constant flow of feedback on its work

Work in an agile environment with a DevOps approach—teams build and maintain their own software, including participating in second-layer support rotations

Qualification

GolangKubernetesInfrastructure as CodeCloud technologiesLinux system administrationCI/CD toolsAPI designJavaPythonBashOpen source development

Required

2+ years of professional work experience in software development and/or operations

BS/MS in Computer Science, or education/experience in a relevant field

Hands-on experience coding in programming languages such as Golang, Java, Python, or Bash

2+ years experience with containerization tools- Kubernetes, Istio, Cluster API, Crossplane, etc

Solid background in application and system programming, and Linux system administration

Involvement in building Infrastructure as Code (IAC)

Willingness and the ability to pick up and learn new coding languages

Deep understanding of security, reliability, performance and cost-effectiveness of distributed systems on public cloud providers like Amazon AWS, Microsoft Azure or Google GCP