Are you excited to solve the hardest performance challenges in distributed systems at scale? Do you enjoy diving deep into latency, concurrency, networking, and cross-region behavior to uncover opportunities for optimization and resilience? Are you motivated by influencing engineering strategy and building scalable performance practices that empower teams across an organization? If so, we invite you to be a part of our innovative team.As a Senior Staff Performance Engineer at Ridgeline, you’ll lead critical initiatives focused on improving the performance, scalability, reliability, and cost efficiency of our platform. You’ll partner closely with infrastructure, platform, and application engineering teams to investigate complex system behaviors, define performance standards, and influence architectural decisions across distributed systems. Our team of engineers are building with cutting-edge technologies—like Claude Code and Cursor—in a fast-moving, creative, progressive work environment.At Ridgeline, how we work matters as much as what we build. Ridgeliners act like owners, choose growth over comfort, and communicate with transparency. We assume positive intent, bias toward action, and bring solutions—not just problems. We celebrate wins, learn from setbacks, and thrive in a resilient, collaborative, high-performing culture.The impact you will haveLead deep performance investigations across distributed services, multi-region systems, and large-scale production environmentsAnalyze latency, throughput, saturation, concurrency, and failure modes across data and control planesPartner with platform and infrastructure teams to optimize runtime behavior, networking efficiency, container orchestration, and resource utilizationDefine performance standards, benchmarking strategies, and system-level expectations across engineering organizationsInfluence architectural and technical decisions that improve scalability, resiliency, and operational efficiencyDesign and evolve AI-assisted performance workflows that enable scalable, repeatable performance validation across systems and teamsDevelop scalable and cost-efficient performance testing frameworks that accurately model real-world customer workloadsMentor engineers and raise the technical bar through collaboration, coaching, and engineering leadershipDrive a culture of ownership, transparency, continuous learning, and operational excellenceWhat we look for8+ years of software engineering experience with deep expertise in distributed systems and large-scale infrastructureStrong understanding of networking, concurrency, caching, replication, data structures, and scaling patternsProven track record of identifying and resolving performance bottlenecks in complex production environmentsExperience designing and executing performance testing strategies for highly distributed systemsExpertise with observability, profiling, tracing, benchmarking, and performance analysis toolsStrong systems-level thinking with the ability to balance reliability, scalability, and cost efficiencyAbility to influence technical direction across teams without direct authorityExcellent communication and collaboration skills in highly cross-functional environmentsWillingness to learn and adopt cutting-edge technologies and AI-assisted engineering workflowsAn aptitude for solving ambiguous and highly complex technical challengesSerious interest in having fun at workBonusExperience optimizing cloud-native platforms running on Kubernetes or similar container orchestration systemsFamiliarity with performance engineering in financial technology or highly regulated industriesExperience building AI-assisted engineering workflows or agent-driven validation systemsBackground working with multi-region architectures and globally distributed servicesRidgeline is proud to be a community-minded, discrimination-free equal opportunity workplace.Ridgeline processes the information you submit in connection with your application in accordance with the Ridgeline Applicant Privacy Statement. Please review the Ridgeline Applicant Privacy Statement in full to understand our privacy practices and contact us with any questions.
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