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Performance Optimization Engineer Jobs in Portland, OR

Instead, you will focus on developing highly optimized math primitives, parallel algorithms, and ... Performance Optimizations: 2+ years of hands-on experience in programming and kernel optimization ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

What we need to see: * BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ... Experience with performance optimization of AI frameworks such as PyTorch. NVIDIA is a global ...

Senior CPU Performance Architect

Hillsboro, OR · On-site

$181K/yr

What we need to see: BS/MS in Electrical Engineering, Computer Science, Computer Engineering, or ... Experience with performance optimization of AI frameworks such as PyTorch. NVIDIA is a global ...

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Apply data modeling, data warehousing, and performance optimization best practices. * Implement ... Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.

Data Engineer - Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Apply data modeling, data warehousing, and performance optimization best practices. * Implement ...

Data Engineer - Databricks

Beaverton, OR

$119K - $143K/yr

Data Engineer - Databricks Location: Beaverton, OR - Hybrid (3 Days Onsite) Contract-to-Hire Job ... Apply data modeling, data warehousing, and performance optimization best practices. * Implement ...

Sr. Data Engineer

Beaverton, OR · On-site

$40 - $45/hr

Strong understanding of data modeling, data warehousing, and performance optimization. * Experience with Git, CI/CD, and DevOps best practices. * Knowledge of Delta Live Tables, Unity Catalog, and ...

Staff software engineer

Hillsboro, OR · On-site

$144K - $216K/yr

Job Summary & Responsibilities We are seeking a highly skilled Staff Software Engineer to lead the software architecture, integration, and performance optimization of the R/Theta stage subsystem for ...

Lead Data Engineer- Databricks

Beaverton, OR · On-site

$119K - $143K/yr

Strong understanding of data modeling , data warehousing, and performance optimization. * Experience with Git, CI/CD , and DevOps best practices. * Knowledge of Delta Live Tables, Unity Catalog, and ...

Support equipment performance optimization and process improvement initiatives * Install, configure ... Coordinate with internal engineering, technical support, and service teams to resolve customer ...

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Performance Optimization Engineer information

See Portland, OR salary details

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How much do performance optimization engineer jobs pay per hour?

As of Sep 9, 2026, the average hourly pay for performance optimization engineer in Portland, OR is $63.74, according to ZipRecruiter salary data. Most workers in this role earn between $52.26 and $72.16 per hour, depending on experience, location, and employer.

What is a performance optimization engineer?

A Performance Optimization Engineer is a professional who focuses on improving the speed, efficiency, and scalability of software systems, applications, or hardware. Their main responsibilities include analyzing system performance, identifying bottlenecks, and implementing solutions to optimize resource usage and response times. They often work closely with development and operations teams to monitor system metrics, conduct performance testing, and ensure applications meet performance requirements. This role is critical in maintaining high-performing, reliable systems, especially for organizations with large-scale or mission-critical applications.

What are some typical challenges a performance optimization engineer faces when working with legacy systems?

Performance Optimization Engineers often encounter challenges such as outdated codebases, lack of documentation, and hardware limitations when working with legacy systems. These factors can make it difficult to identify bottlenecks and implement modern performance improvements. Collaborating closely with cross-functional teams—including developers, testers, and system administrators—is crucial to fully understand system behavior and safely apply optimizations without introducing regressions. Patience and creative problem-solving are key, as each legacy system may require unique strategies to achieve measurable performance gains.

What are the key skills and qualifications needed to thrive as a performance optimization engineer, and why are they important?

To thrive as a Performance Optimization Engineer, you need a strong background in computer science, programming, and system architecture, often supported by a relevant degree. Familiarity with profiling tools, performance monitoring systems, and languages such as C++, Java, or Python is typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for diagnosing bottlenecks and collaborating with teams. These abilities are essential for ensuring systems operate efficiently, reliably, and at scale.

What is the difference between Performance Optimization Engineer vs Software Developer?

AspectPerformance Optimization EngineerSoftware Developer
Primary FocusImproving system and application performance, optimizing code and infrastructureDesigning, coding, and testing software applications
Skills & CertificationsKnowledge of performance profiling, debugging, scripting, certifications like AWS or LinuxProficiency in programming languages, software development methodologies
Work EnvironmentOften in performance labs, cloud environments, or data centersDevelopment teams, office or remote software development settings
Industry UsageTech, gaming, finance, and enterprise sectors focusing on system efficiency

Performance Optimization Engineers focus on enhancing system and application efficiency, while Software Developers create and maintain software applications. Both roles require technical skills, but their core responsibilities differ significantly, making each essential in different stages of software and system lifecycle.

Cloud Cost Optimization Engineer

Portland, OR • On-site

BizTek People, Inc. | APA International Placement Consultants
Recruiting and Staffing Services • 51 - 200 employees

$59.25 - $79.25/hr

Contractor

Re-posted 12 days ago


Job description


As a FinOps Engineer for the Enterprise Architecture & Platforms (EAP) domain, you will lead the automation, simplification, and efficiency of cost containment & reporting within Nike's public & private cloud ecosystem. You will transform complex technical requirements into simple solutions that will impact teams on a global scale. You will support application developers and data analysts in enhancing value, producing quality data, and integrating cloud tools & platforms in support of digital transformation.You will be evangelizing cloud cost management across many levels within the organization from executive leadership to individuals and teams.Help promote a culture of cost accountability and awareness.
Requirements
• BS degree in Computer Science or related technical field or equivalent practical experience
• A DevOps mindset
• Extensive knowledge of AWS public cloud infrastructure; Azure and Google Cloud is a plus
• Deep understanding of core public & private cloud billing, cost management, and data visualization tools (e.g. CloudHealth, Cloudability, BigQuery, AWS Cost Explorer, Kubecost, SparkLens, VRealize)
• Solid understanding of cloud billing and metering and the impact of usage patterns on total cost of ownership (TCO)
• Proficiency in developing repeatable and efficient automation to codify and simplify end-to-end processes and methods in public and private cloud landscapes
• Proficiency in using & integrating application programming interfaces (APIs)
• A passion for problem solving and customer service
• Experience building a cloud financial management roadmap
• Senior experience scripting using Python, as well as Perl, PowerShell, JavaScript, or similar scripting languages
• A passion for automating everything, from leveraging open source tools to delivering machine learning based forecasts, self-service budgets, and real time Kubernetes spend visibility and much more!.
• Experience with Application Performance Management tools (e.g. SignalFX, NewRelic, DataDog) preferred
• Experience providing chargeback, showback, budgeting and forecasting as core capabilities of cloud financial management
• Experience creating advanced product level visibility that will help drive better business decisions and cost accountability
Skill Set
Cloud, DevOps