Performance Engineer Jobs

About The Position

Requirements

• Strong programming experience in at least one systems-oriented language, such as Java, C/C++, Go, or Python.
• Experience designing, running, and interpreting benchmarks or load tests for distributed systems, databases, or similarly latency-sensitive platforms.
• Solid understanding of database architecture, indexing, query processing, and performance tuning.
• Experience with observability tools and techniques such as metrics dashboards, tracing/profiling, and system-level monitoring, for example Prometheus/Grafana, eBPF, or equivalent.
• Experience with Linux/Unix environments and practical system administration for test and production-like systems.
• Experience automating test or deployment environments using infrastructure-as-code, configuration management, or container/orchestration tools, such as Ansible, Terraform, Docker, Kubernetes, or similar.
• Demonstrated ability to troubleshoot complex performance problems across application, database, network, storage, and hardware layers.
• Strong analytical skills and excellent written and verbal communication, including the ability to explain technical tradeoffs to engineering and non-engineering audiences.

Nice To Haves

• Experience with NoSQL or real-time data platforms; experience with Aerospike or similar systems is a plus.
• Experience with database client libraries, SDKs, or application-side performance tuning.
• Experience operating or testing large-scale distributed systems in production or production-like environments.
• Experience building or maintaining automated regression systems, including baseline management and outlier/regression detection.
• Experience working across bare-metal and cloud test environments.
• Experience integrating benchmark or cluster-provisioning tools into CI/CD or scheduled test pipelines.
• Experience expanding test coverage across multiple products and release lines.

Responsibilities

• Design workloads that stress and characterize system performance and reliability as experienced by customers.
• Build and maintain performance baselines across builds, hardware profiles, and configuration variants, and use statistical rigor to identify regressions and improvements.
• Run and evolve performance regression as a pre-release quality gate across dedicated bare-metal clusters and remote containerized test environments, selecting the appropriate environment for each workload.
• Investigate performance issues reported by customers or found in internal testing, reproduce problems, isolate root causes, and drive effective fixes.
• Analyze and optimize server and client performance, including indexing, query execution, data access paths, and client/server interaction.
• Integrate benchmark and cluster tooling into regular regression pipelines, expand automated nightly and pre-release gates, and prioritize high-value coverage additions.
• Collaborate with Product R&D to ensure performance and reliability requirements are reflected in development and release processes.
• Create and maintain documentation on benchmark methodology, baseline management, environment setup, and performance best practices.
• Engage with customers to understand deployment patterns, validate performance claims, and translate field requirements into actionable improvements.
• Stay current with industry trends in database performance, observability, and test automation.