Senior Platform Engineer, DevOps & Developer Experience

United States Digital Space LLC

United States

Remote

USD 180,000 - 210,000

Full time

14 days+

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Job summary

United States Digital Space LLC is seeking a Principal Platform Engineer to accelerate platform delivery by combining strong software engineering with deep platform and operations expertise. This role sets the standard for engineering excellence, collaborates across teams, and delivers reusable patterns that improve delivery speed, reliability, and developer productivity.

You will lead high-priority initiatives, reduce cross-team friction with clear interfaces, and promote API-first,

Qualifications

Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
12+ years building, automating, and operating cloud-native platforms, infrastructure, and software delivery systems at scale.
Experience applying full SDLC practices to platform and infrastructure work, treating platform capabilities as production-grade software.
Experience leading large-scale, cross-functional technical initiatives with measurable business and engineering outcomes.
8+ years designing and operating microservices-based systems, including API design and versioning, authentication and authorization frameworks, and Infrastructure-as-Code (IaC).
5+ years of hands-on experience in Kubernetes, public cloud infrastructure, CI/CD and deployment automation, IaC and reliability tooling.
Ownership of production systems supporting business-critical workloads, including incident response, post-incident reviews, and reliability improvements at scale.
Experience implementing automated testing for platform capabilities: integration testing, contract testing, infrastructure validation, and deployment quality controls.

Responsibilities

Lead high-priority initiatives: clarify approach, resolve ambiguity, deliver quality results with pragmatic trade-offs.
Reduce cross-team friction by defining clear interfaces and enabling parallel work through strong architectural boundaries.
Establish and model engineering best practices: design docs/RFCs, architecture reviews, code review discipline, automated testing.
Promote API-first, platform-as-a-product interfaces to reduce bespoke integrations.
Create reusable platform capabilities (templates, modules, golden paths) to speed delivery.
Identify and implement automation that improves operational and delivery efficiency.
Lead cross-cutting improvements to enhance stability and reduce toil (observability, alert hygiene, incident learning).
Partner with operations and platform stakeholders to improve reliability and reduce drag.
Coach senior engineers, model technical leadership, and mentor without people management responsibilities.
Participate in on-call rotation and contribute to service restoration and post-incident learning.