Staff Engineer Cloud Scalability

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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• 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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Salary

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401(k) match

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Market context

Median wage (BLS OEWS)

$116,543 national median

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

69% above the BLS national median for software engineering aggregate.

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.

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

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Where they hire

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About this role

Staff Engineer Cloud Scalability Remote - US Hypori, Inc. is a high-growth cybersecurity SaaS company transforming how organizations think about secure mobility. Our virtual workspace platform enables users to access enterprise apps an d d ata from a ny mobile device-with zero data on the endpoint and total personal privacy. Backed by $55M in funding from investors including UBS, AE Industrial Partners, Hale Capital Partners, and GreatPoint Ventures, Hypori is expanding into new commercial and regulated markets. Learn more at hypori.com. Overview: We are looking for a Staff Scalability Engineer with expertise in Cloud systems (preferably AWS) to lead optimization, monitoring, and tuning our existing cloud infrastructure. You will play a crucial role in identifying and implementing changes to our application's infrastructure and architecture to improve platform availability and scalability. This role will work across multiple, small, cross-functional engineering groups to help our application meet rapidly growing, global demand. Responsibilities: - Lead capacity planning, autoscaling, and performance optimization across our application. - Define and enforce best practices for scalability, reliability, observability, and infrastructure resilience. - Conduct architectural reviews and propose improvements to enhance performance and cost efficiency. - Partner with engineering teams on the implementation of micro service infrastructure (API gateways, containerization strategies, etc.) with an eye toward data contract and scalability best practices. - Implement and improve metrics systems to diagnose performance bottlenecks using modern tooling (e.g., CloudWatch, X-Ray, OpenTelemetry, Splunk). - Partner with engineering teams to help enforce SLOs/SLAs. - Lead incident response initiatives for high-severity cloud infrastructure

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