Senior Staff Platform Engineer
New
J
JobgetherEnterprise data platforms
Remote work within the United StatesFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- At least five years of experience building and operating production cloud infrastructure at scale
- Required Skills
- DockerKubernetesMicrosoft AzureCI/CDTerraformDistributed Systems
Requirements
- At least five years of experience building and operating production cloud infrastructure at scale.
- Hands-on experience managing cloud infrastructure and proficiency with infrastructure as code, particularly Terraform.
- Experience with Microsoft Azure is an advantage.
- Solid understanding of Docker, Kubernetes, container orchestration, and modern application deployment strategies.
- Experience building and maintaining deployment pipelines, release automation, and developer productivity tools.
- Practical experience with monitoring, alerting, centralized logging, distributed tracing, and production troubleshooting.
- Strong understanding of SLOs, incident management, capacity planning, reliability engineering, and automation-driven reduction of operational toil.
- Ability to design, operate, and troubleshoot scalable infrastructure and distributed production workloads.
- Familiarity with data pipelines, streaming systems, change data capture, and distributed compute frameworks; Ray, Kafka, or Azure Service Bus experience is particularly valuable.
- Background in B2B SaaS, enterprise data platforms, or environments where uptime, data integrity, and operational reliability are critical.
- Experience establishing infrastructure foundations in a high-growth environment is preferred.
- Ability to make sound architectural decisions and balance short-term delivery with long-term maintainability.
Responsibilities
- Design, build, and operate scalable cloud environments, primarily using Microsoft Azure.
- Develop and maintain reusable infrastructure automation with Terraform and other appropriate tools.
- Manage containerized workloads using Docker and Kubernetes.
- Build and operate data infrastructure for pipeline orchestration, change data capture, distributed compute, and messaging.
- Design and improve CI/CD pipelines, release automation, and developer tooling.
- Implement monitoring, logging, tracing, alerting, and diagnostic systems.
- Establish and improve SLOs, capacity planning, incident response procedures, and reliability standards.
- Lead production incident investigations, coordinate resolution, identify root causes, and implement preventive measures.
- Automate repetitive operational tasks through scripting and improved engineering workflows.
- Influence platform architecture and technical direction, and build self-service infrastructure for product engineering teams.
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