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Performance Monitoring Engineer Jobs in Ridgeland, MS

nVent

Project Engineer

Richland, MS

Develop project design schedules; monitor progress and resolve issues. * Coordinate design ... We design, manufacture, market, install and service high performance products and solutions that ...

Baker Donelson

Legal Process Engineer

Jackson, MS · Hybrid

Legal Process Engineer FLSA STATUS : Exempt DEPARTMENT : Client Solutions Group SUPERVISOR ... monitor performance metrics and fine-tune each solution to deliver client value. * Marketing ...

Ascent Hospitality

Hotel Chief Engineer

Jackson, MS · On-site

Responsible for monitoring compliance with state building codes and regulations, OSHA safety codes ... performance and recommends appropriate discipline and rewards. * Directly responsible for the ...

EJES, Inc.

Senior Civil Engineer

Jackson, MS · On-site

$95K - $110K/yr

Engineering Manager Salary Range: $95,000 to $110,000 EJES, Inc. Philosophy Magic Lies in ... monitors work and evaluates performance; ensures staff adhere to policies and procedures in ...

Accura Engineering

Engineering Manager

Jackson, MS · On-site

Monitor performance, schedule, and cost metrics to ensure efficient project execution. * Identify ... Professional Engineer (PE) registration or Registered Architect. * 8-10 years of relevant ...

Entergy

Nuclear Analysis Engineer I-Sr (Nuc)

Jackson, MS · On-site

$85K - $102K/yr

... performance, reliability, and cost effectiveness. * Support reload and startup activities by ... monitoring/burnup, core component activities, operations support, spent fuel pool inventory ...

New

Nissan Motor Co., Ltd.

Industrial Engineer ECL 2

Canton, MS · On-site

$60K - $78K/yr

... performance. * Develop and maintain manufacturing process documentation, determine optimal ... monitor process controls, and drive continuous quality and operational enhancements. Who We're ...

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Performance Monitoring Engineer information

See Ridgeland, MS salary details

$9

$50

$81

How much do performance monitoring engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for performance monitoring engineer in Ridgeland, MS is $50.08, according to ZipRecruiter salary data. Most workers in this role earn between $41.06 and $56.68 per hour, depending on experience, location, and employer.

What does a performance monitoring engineer do?

A Performance Monitoring Engineer is responsible for tracking, analyzing, and optimizing the performance of systems, applications, or networks within an organization. They use specialized tools to identify bottlenecks, monitor system health, and ensure that performance standards are met. Their work helps to prevent downtime, improve user experience, and support overall business objectives. Performance Monitoring Engineers often collaborate with IT teams to implement solutions and maintain optimal system functionality.

What skills and qualifications are needed to thrive as a performance monitoring engineer?

To thrive as a Performance Monitoring Engineer, you need a solid background in computer science or IT, strong analytical skills, and experience with system performance analysis. Familiarity with monitoring tools like Nagios, Dynatrace, or New Relic, as well as knowledge of scripting languages and performance testing frameworks, is typically required. Excellent problem-solving abilities, communication, and attention to detail are crucial soft skills for this role. These skills and qualities ensure proactive identification and resolution of system bottlenecks, maintaining optimal application and infrastructure performance.

How does a performance monitoring engineer typically collaborate with development and operations teams to resolve system issues?

Performance Monitoring Engineers play a crucial liaison role between development and operations teams. When system performance anomalies or bottlenecks are detected, these engineers provide detailed reports and real-time metrics, enabling developers to identify root causes and operations to implement timely fixes. They often participate in cross-functional meetings, sharing insights and recommendations to optimize applications and infrastructure. This collaborative approach ensures that performance issues are addressed proactively and that both teams are aligned on resolution strategies.

What is the difference between Performance Monitoring Engineer vs Network Operations Engineer?

AspectPerformance Monitoring EngineerNetwork Operations Engineer
Primary FocusMonitoring and analyzing system performance metricsManaging and maintaining network infrastructure
CertificationsNetwork+, CCNA, or similarCCNA, Network+, or similar
Work EnvironmentData centers, IT departments, cloud environmentsNetwork operation centers, enterprise networks
Industry UsageIT, telecommunications, cloud servicesTelecommunications, enterprise IT

While both roles involve network and system knowledge, the Performance Monitoring Engineer primarily focuses on analyzing system performance data to optimize operations, whereas the Network Operations Engineer manages the day-to-day network infrastructure and troubleshooting. Understanding these differences helps in choosing the right career path or job search focus.

Performance Monitoring Engineer jobs near you
Infographic showing various Performance Monitoring Engineer job openings in Ridgeland, MS as of August 2026, with employment types broken down into 82% Full Time, 16% Part Time, and 2% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $104,163 per year, or $50.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Jackson, MS • Remote

Full-time

Re-posted 14 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply