DevOps Engineer, DevEx
Mark43 - New York, Remote
Posted Mar 26, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Schedule
- Shift type
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- 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
DevOps Engineer, DevEx New York, Remote Applicants must be authorized to work for any employer in the country in which the role is being hired. We are unable to sponsor or take over sponsorship of an employment visa at this time. Mark43's mission is to empower communities and their governments with new technologies that improve the safety and quality of life for all. We build powerful, scalable, and elegant software that sets a new standard for the tools upon which our first responders rely. Our users are diverse, and we are therefore committed to embracing diversity of thought and experience within our team. The Mark43 law enforcement platform delivers mission-critical services to agencies across the country. When our systems are unavailable, real-world safety is impacted. As a Platform Engineer, you will take ownership of critical platform capabilities that ensure our systems are reliable, scalable, and equally important: enable engineers to build, deploy, and operate software with speed and confidence. In this role, you will operate at the intersection of platform engineering and developer experience (DevEx) . You will design and evolve internal platforms as products , reducing friction across the software development lifecycle while maintaining strong standards for reliability, security, and compliance. While this role includes opportunities to work on observability systems, prior experience in observability platforms is not required - we value engineers who can learn quickly and apply strong platform fundamentals. You'll use tools like Terraform, Kubernetes, Helm, ArgoCD, and DataDog to build scalable platform primitives and improve
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