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Performance Optimization Manager Jobs in Missouri

Jobgether

$88K - $106K/yr

This position is listed on behalf of a partner company, who manages all applications and next steps ... You will dive deep into performance optimization, from model architecture and GPU execution to ...

New

Jobgether

Monitor SEO health through regular audits, KPI tracking, competitive analysis, and proactive risk management. * Communicate performance insights, strategic recommendations, and resource needs to ...

North American Montessori

MO · On-site

... manage AI agents that execute SEO and AEO tasks on behalf of clients. Monitor their performance, refine their outputs, and expand their capabilities over time as the technology and our platform ...

The Clix Group

SEO/AEO Strategist

Saint Louis, MO · On-site

... manage AI agents that execute SEO and AEO tasks on behalf of clients. Monitor their performance, refine their outputs, and expand their capabilities over time as the technology and our platform ...

Digital Strike, LLC

SEO Strategist

Saint Louis, MO · On-site

$55K - $65K/yr

Strong organizational skills and the ability to manage deliverables across multiple clients ... Client Performance Monitoring, QA, and Reporting * SEO Trend Adoption The salary expectations for ...

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Performance Optimization Manager information

How does a Performance Optimization Manager typically collaborate with other departments to drive improvements?

Performance Optimization Managers often work closely with cross-functional teams, including marketing, operations, product development, and IT. They gather data from various sources, analyze performance metrics, and facilitate workshops or meetings to identify bottlenecks and propose actionable solutions. Effective collaboration requires strong communication skills and the ability to translate complex analytical findings into clear recommendations that align with organizational goals. This collaborative approach ensures that optimization strategies are practical, well-supported, and have a measurable impact across the business.

What are the key skills and qualifications needed to thrive as a Performance Optimization Manager, and why are they important?

To thrive as a Performance Optimization Manager, you need strong analytical skills, a background in business or data analysis, and experience in process improvement methodologies such as Lean or Six Sigma. Familiarity with data visualization tools (e.g., Tableau, Power BI), performance management systems, and relevant certifications in project management or process optimization are typically required. Excellent communication, leadership, and problem-solving abilities help drive change and encourage collaboration across teams. These skills are crucial for identifying inefficiencies, implementing effective solutions, and ensuring sustained business growth.

What does a Performance Optimization Manager do?

A Performance Optimization Manager is responsible for analyzing business processes and systems to identify areas where efficiency, productivity, and overall performance can be improved. They develop and implement strategies, use data-driven insights, and collaborate with various departments to streamline operations. Their goal is to maximize the organization's effectiveness, reduce costs, and enhance results, often through process redesign, technology integration, and ongoing performance monitoring.

What is the difference between Performance Optimization Manager vs Data Analyst?

AspectPerformance Optimization ManagerData Analyst
Primary FocusImproving system, process, or product performanceAnalyzing data to identify trends and insights
Required SkillsPerformance metrics, process improvement, project managementData analysis, statistical tools, reporting
Work EnvironmentCross-functional teams, technical projectsData sets, reporting tools, business units
CertificationsPerformance management, project management (e.g., PMP)Data analysis, statistics (e.g., CAP, Google Data Analytics)

The Performance Optimization Manager focuses on enhancing system and process efficiency, often working with technical teams and managing improvement projects. In contrast, Data Analysts primarily interpret data to support decision-making. Both roles require analytical skills but differ in their core objectives and tools.

What are the most commonly searched types of Performance Optimization jobs in Missouri? The most popular types of Performance Optimization jobs in Missouri are:
What are popular job titles related to Performance Optimization Manager jobs in Missouri? For Performance Optimization Manager jobs in Missouri, the most frequently searched job titles are:
What job categories do people searching Performance Optimization Manager jobs in Missouri look for? The top searched job categories for Performance Optimization Manager jobs in Missouri are:
Performance Optimization Manager jobs near you
Performance Optimization Engineer

Performance Optimization Engineer

Pyramid Technology Solutions, Inc.

O Fallon, MO • On-site

$65/hr

Other

Posted 12 days ago

Job description

Position: Systems Performance Engineer/Performance Optimization Engineer/Performance Analyst

Location: O''Fallon, Missouri - Hybrid

Duration: 6+Months with possible extensions

 

Rate: $65/hr on W2 all Inc. (No room in rate)

 

Interviews: (3 Rounds): All the interviews within one week.

 

Description: Responsible for identifying and resolving end-to-end performance bottlenecks across distributed systems, Spring Boot services, middleware components, and hybrid cloud environments (private cloud + AWS). This role goes far beyond traditional testing by deeply analyzing container orchestration, networking paths, and system interactions under load. This position maps full system workflows, sets realistic latency budgets, and ensures each component meets its SLOs. Ideal candidates have extensive experience with high-scale, multi-region, and high-transaction platforms (e.g., financial systems, payment processing, or large enterprise SaaS) running in a Cloud environment.

Key Responsibilities:

  • Define service-level objectives (SLOs), performance budgets, and latency/throughput targets across services.
  • Architect and champion comprehensive distributed tracing strategies (Dynatrace, AWS X-Ray, etc.).
  • Analyze application, platform, and cloud behavior using deep-dive techniques such as heap dumps, thread dumps, flame graphs, logs, network traces, and storage I/O profiling.
  • Review service and system architectures for performance risks (e.g., synchronous hops, excessive dependencies, misconfigured connection pools, poor cache placement).
  • Conduct and lead root-cause analysis for performance incidents in production and pre-production environments.
  • Develop capacity models and performance baselines for services running across cloud environments.

 

Areas of Expertise:

  • Application Layer: Spring Boot internals, JVM tuning, thread/heap management, concurrency debugging, optimization
  • Container Runtime: PCF, Docker, container resource limits, CPU throttling, memory pressure
  • Orchestrators: PCF, Kubernetes, ECS (autoscaling, pod health, scheduling issues)
  • Networking: Service-to-service hops, TLS overhead, DNS, routing, load balancer configs (F5, Nginx, ALB/NLB), service mesh performance
  • Storage: Latency, IOPS constraints, distributed file system behavior
  • Caching & Middleware: Redis, Hazelcast, NATS, Kafka, RabbitMQ configuration and throughput tuning
  • Databases: Connection pool tuning, slow queries, indexing, replication lag

Cloud Layer: AWS compute/storage/network performance, regional latency, cross-cloud traffic patterns

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