Staff Software Engineer, Performance (Remote - US)

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Software Engineer, Performance in the United States.

We are seeking a highly experienced Staff Software Engineer focused on infrastructure performance to optimize large-scale backend systems and reduce operational costs. In this role, you will work across multiple infrastructure domains, including containerized services, data pipelines, and machine learning platforms, to identify bottlenecks and implement performance improvements. You will collaborate closely with cross-functional engineering teams to profile, tune, and scale services while designing distributed performance tools and load-testing frameworks. This position provides the opportunity to influence hardware and software strategies, optimize resource usage, and enhance the performance observability of critical systems. The ideal candidate is passionate about efficiency, has deep software tuning expertise, and thrives in a fast-paced, high-growth technology environment.

Accountabilities

• Optimize performance and reduce operating costs across infrastructure services, collaborating with engineers and cross-functional partners.
• Profile, analyze, and tune critical services to minimize latency and improve throughput.
• Build distributed performance tooling and automation to identify bottlenecks and monitor system health.
• Lead continuous load testing in production to uncover vulnerabilities and validate improvements.
• Modernize software stack and deploy the latest hardware across cloud infrastructure to maximize efficiency.
• Provide performance observability and metrics for resources like CPU, memory, and locks across backend systems.
• Share insights and best practices across engineering teams to improve overall system performance.

• 10+ years of experience in performance optimization within fast-paced, high-growth tech environments.
• Deep expertise in software tuning and optimization, preferably in Java or C++.
• Knowledge of processor vectorization and hardware-aware optimizations.
• Proficiency in performance metrics, load testing, and performance debugging.
• Familiarity with cloud infrastructure (AWS, GCP, Azure) and container/orchestration technologies such as Docker and Kubernetes.
• Strong problem-solving abilities, analytical skills, and effective communication across teams.
• Experience designing distributed tools and systems for performance observability.
• Passion for efficiency, scalability, and system reliability.

• Competitive base salary range: USD $204,000 – $255,000 per year.
• Opportunity for performance bonuses, equity, and employee travel credits.
• Remote work eligibility with occasional office visits or offsites as needed.
• Professional development opportunities and exposure to cutting-edge infrastructure technologies.
• Inclusive culture that values diversity, equity, and belonging.
• Supportive work environment that encourages collaboration and knowledge sharing.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

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