Ridgeline
SeniorStaffPerformanceEngineer
“Senior Staff Performance Engineer at Ridgeline. Skills: Performance Engineering, Distributed Systems, Scalability, Optimization. Lead deep performance investigations. Analyze latency, throughput, saturation, concurrency, failure modes”
What You'll Achieve.
improving the performance, scalability, reliability, and cost efficiency of our platform; improve scalability, resiliency, and operational efficiency; enable scalable, repeatable performance validation; accurately model real-world customer workloads; automate complexity; accelerate collaboration; deliver tailored client experiences at scale
Industry & Context.
solve the hardest performance challenges; diving deep into latency, concurrency, networking, cross-region behavior; uncover opportunities for optimization and resilience; investigate complex system behaviors; solving ambiguous and highly complex technical challenges
What They're Looking For.
Must Have
8+ years of software engineering experience, deep expertise in distributed systems, large-scale infrastructure, understanding of networking, concurrency, caching, replication, data structures, scaling patterns, Proven track record of identifying and resolving performance bottlenecks in complex production environments, Experience designing and executing performance testing strategies for highly distributed systems, Expertise with observability, profiling, tracing, benchmarking, performance analysis tools, systems-level thinking, Ability to influence technical direction across teams without direct authority, Excellent communication and collaboration skills in highly cross-functional environments, Willingness to learn and adopt cutting-edge technologies and AI-assisted engineering workflows, An aptitude for solving ambiguous and highly complex technical challenges
Nice to Have
Experience optimizing cloud-native platforms running on Kubernetes or similar container orchestration systems, Familiarity with performance engineering in financial technology or highly regulated industries, Experience building AI-assisted engineering workflows or agent-driven validation systems, Background working with multi-region architectures and globally distributed services
What You'll Do.
Lead deep performance investigations
Optimize runtime behavior
networking efficiency
container orchestration
Define performance standards
benchmarking strategies
system-level expectations
Influence architectural and technical decisions
Design and evolve AI-assisted performance workflows
Develop scalable and cost-efficient performance testing frameworks
Raise the technical bar
Drive a culture of ownership
operational excellence
How You'll Work.
Team & Collaboration
Partner closely with infrastructure, platform, and application engineering teams; Influence technical direction across teams without direct authority; Excellent communication and collaboration skills in highly cross-functional environments; collaboration, coaching, and engineering leadership
Communication Scope
Excellent communication and collaboration skills
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