Job description

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 issues. Provide solutions to enable production teams to measure and predict cloud costs against resource utilization. Candidates would be expected to participate periodically in an on-call, production assistance and escalation schedule Candidates are expected to have some level of competency in using LLM tools (e.g. Claude Code, etc.). Qualifications: Minimal 5+ years of experience in cloud engineering, SRE, or cloud infrastructure roles. Minimum Bachelor's degree in Computer Science or a similar field, or commensurate experience. . Strong proficiency in Infrastructure as Code tools (Terraform, CDK, or CloudFormation) . Deep familiarity with AWS native services, particularly: ECS, EC2, EKS, S3, CloudFront, CloudWatch, KMS, RDS and LZA configuration. Experience with Kubernetes , container orchestration, and service mesh technologies. Strong scripting / automation experience (Python, Bash, Go, or similar). Experience in designing or using profiling tools and performance test frameworks (e.g. AppDynamics, Jaeger, VisualVM , etc.). Solid understanding of distributed systems, caching, event-driven architecture, and performance tuning. Hands-on experience with CI/CD pipelines and DevOps tooling (BitBucket, GitHub, Jenkins). Excellent problem-solving and diagnostic abilities in large-scale distributed environments. Experience in high-traffic, globally distributed environments. Experience with zero-downtime migrations and multi-region deployments. Must be a US citizen or green card holder. Attributes: Excellent interpersonal and communication skills. Self-directed, capable of working with multiple, small engineering teams. AWS Professional certifications (AWS Solutions Architect, DevOps Engineer). High-level of integrity and a keen sense of urgency and results orientation. Able to work in multiple, concurrent, complex software projects. Pay range: $174,600 - $220,000 USD About Us Hypori Inc. provides a generous benefits package for full-time employees that includes medical, dental, and vision insurance, parental leave, and life and disability packages. We also invest in our employees' futures by providing a 401(k) plan with employer-matching contributions that vest starting from your first day of employment. In addition to the base compensation, Hypori also offers a performance bonus, which is primarily contingent upon company-wide performance. We are dedicated to investing in the tools and skills required to be strong, collaborative colleagues and people managers to help build and retain a strong workforce. Hypori is an Equal Employment and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, veteran status, or any other characteristic protected by law. At Hypori, we are committed to creating and promoting an inclusive workplace that embraces differences and perspectives – making us a stronger, more successful company. In doing so, we are committed to providing reasonable accommodation to applicants with disabilities where appropriate. Applicants requiring reasonable accommodation for any part of the application or hiring process should contact people@hypori.com for assistance. #Hypori

Requirements

Must-haves

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 issues.
Provide solutions to enable production teams to measure and predict cloud costs against resource utilization.
Candidates would be expected to participate periodically in an on-call, production assistance and escalation schedule
Candidates are expected to have some level of competency in using LLM tools (e.g. Claude Code, etc.).
Minimal 5+ years of experience in cloud engineering, SRE, or cloud infrastructure roles.
Minimum Bachelor's degree in Computer Science or a similar field, or commensurate experience. .
Strong proficiency in Infrastructure as Code tools (Terraform, CDK, or CloudFormation) .
Deep familiarity with AWS native services, particularly: ECS, EC2, EKS, S3, CloudFront, CloudWatch, KMS, RDS and LZA configuration.
Experience with Kubernetes , container orchestration, and service mesh technologies.
Strong scripting / automation experience (Python, Bash, Go, or similar).
Experience in designing or using profiling tools and performance test frameworks (e.g. AppDynamics, Jaeger, VisualVM , etc.).
Solid understanding of distributed systems, caching, event-driven architecture, and performance tuning.
Hands-on experience with CI/CD pipelines and DevOps tooling (BitBucket, GitHub, Jenkins).
Excellent problem-solving and diagnostic abilities in large-scale distributed environments.
Experience in high-traffic, globally distributed environments.
Experience with zero-downtime migrations and multi-region deployments.
Must be a US citizen or green card holder.
Excellent interpersonal and communication skills.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

awsapillmkubernetespythongoci/cd

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Parental Leave