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