Senior Platform Engineer, Operator
Ditto - Remote (Atlanta, Austin, San Francisco, Seattle)
Posted Jun 7, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
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- Salary
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- 401(k) match
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Senior Platform Engineer, Operator Remote (Atlanta, Austin, San Francisco, Seattle) About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we're committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world's hardest connectivity problems. WHAT YOU'LL BE UP TO… - Own the architecture and evolution of the SMBP Operator's CRD API surface, designing extensions that meet enterprise expectations - consistent status conditions, configurable security contexts, fine-grained network configuration, and admission validation that surfaces bad configs at apply time rather than deep in the reconciliation loop. - Design and implement flexible network configuration patterns that give customers choice of ingress controller, load balancer, and traffic management approach - without prescribing specific Kubernetes ecosystem components or hardcoding controller-specific behaviour. - Build the observability integration enterprise customers expect: Prometheus-native metrics, ServiceMonitor CRDs for automatic scraping, Kubernetes Events emission throughout the reconciliation lifecycle, and pre-built dashboards that surface operator and cluster health without manual instrumentation. - Harden the operator's security posture across pod
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