Hypori
Staff Engineer Cloud Scalability
Remote Cloud Engineering role with clear candidate location fit.
PostedJun 15, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Staff Engineer Cloud Scalability
Requirements and responsibilities
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Responsibilities:
- Lead capacity planning, autoscaling, and performance optimization across our application.
Responsibilities:
- Define and enforce best practices for scalability, reliability, observability, and infrastructure resilience.
Responsibilities:
- Conduct architectural reviews and propose improvements to enhance performance and cost efficiency.
Responsibilities:
- 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.
Qualifications:
- Minimum Bachelor's degree in Computer Science or a similar field, or commensurateexperience..
Qualifications:
- Strong proficiency in Infrastructure as Code tools (Terraform, CDK, or CloudFormation).
Qualifications:
- Deep familiarity with AWS native services, particularly: ECS, EC2, EKS, S3, CloudFront, CloudWatch, KMS, RDS and LZA configuration.
Qualifications:
- Experience with Kubernetes, container orchestration, and service mesh technologies.
Qualifications:
- Strong scripting / automation experience (Python, Bash, Go, or similar).
Qualifications:
- Experience in designing or using profiling tools and performance test frameworks (e.g. AppDynamics, Jaeger, VisualVM, etc.).
Qualifications:
- Solid understanding of distributed systems, caching, event-driven architecture, and performance tuning.
Qualifications:
- Hands-on experience with CI/CD pipelines and DevOps tooling (BitBucket, GitHub, Jenkins).
Qualifications:
- Excellent problem-solving and diagnostic abilities in large-scale distributed environments.
Qualifications:
- 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.
Attributes:
- Self-directed, capable of working with multiple, small engineering teams.
Attributes:
- AWS Professional certifications (AWS Solutions Architect, DevOps Engineer).
Attributes:
- High-level of integrity and a keen sense of urgency and results orientation.
Attributes:
- Able to work in multiple, concurrent, complex software projects.
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