Mqreferrals
Staff Software Engineer - Kubernetes Operations
Remote, USA · Staff+
Sponsorship not specifiedDetected 27 days ago
PythonJavaGoDistributed SystemsAWSGCPAzureCloud PlatformsDockerKubernetesTerraformHelmCI/CDPrometheusGrafanaDatadogIncident ResponseCommunicationCollaborationMentoring
About the role
- This role can be performed remotely in the United States, only in one of our National locations, which you can review here.
- You're encouraged to apply even if your experience doesn't precisely match the job description.
- We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so again, don't hesitate to apply - we'd love to hear from you.
Requirements
- 8+ years of software engineering experience
- 3+ years of hands-on production experience with Kubernetes
- Strong understanding of container technologies (Docker, containerd)
- Experience with infrastructure as code (Terraform, Helm, or similar)
- Proficiency in at least one programming language (Go, Python, Java)
- Deep knowledge of networking, security, and distributed systems
- Experience with cloud platforms (AWS, GCP, or Azure)
- Experience with service mesh technologies (Istio, Linkerd)
- Knowledge of observability tools (Prometheus, Grafana, Datadog)
- Experience in fintech or payments industry
Skills
- A baseline tier that applies to most of the geographic territory of the United States.
Compensation
- This role can be performed remotely in the United States, only in one of our National locations, which you can review here.
- Annual "development dollars" to support our people growth and development
Benefits
- Multiple health insurance options
- Flexible time off - take what you need
- Retirement savings program with company contribution and after tax contributions
- Equity in a publicly-traded company and an Employee Stock Purchase Program
- Family-forming benefits, fertility support, and up to 20 weeks of Parental Leave
- Monthly stipend to support our remote work model
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This listing is sourced directly from Mqreferrals's careers page and normalized into a canonical job model.