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Performance Monitoring Engineer Jobs in Arcade, NY

AI Governance Lead

Buffalo, NY · On-site

$123K - $206K/yr

... plan with clear monitoring, prioritized against engineering delivery timelines. Key ... Define requirements for model cards, testing evidence, bias/fairness checks, and performance ...

New

Lead Site Reliability Engineer

Buffalo, NY · On-site

$55.25 - $73.50/hr

Experience with CI/CD pipelines, automation, incident management, monitoring, and cloud-native architectures. * Hands-on experience with SRE principles, performance tuning, capacity planning ...

Engineer

Buffalo, NY

$80K - $100K/hr

This role ensures the stability, performance, and security of client environments while providing ... Oversee patch management, system updates, and proactive infrastructure monitoring. Network ...

AI Governance Lead

Buffalo, NY · On-site

$124 - $206/hr

... plan with clear monitoring, prioritized against engineering delivery timelines. Key ... Define requirements for model cards, testing evidence, bias/fairness checks, and performance ...

New

This role ensures the stability, performance, and security of client environments while providing ... Oversee patch management, system updates, and proactive infrastructure monitoring. Network ...

Designing and delivering platform health, performance, and experience metrics, leveraging APIs ... Lead the design, deployment, migration, maintenance, and monitoring of the Citrix DaaS environment ...

Overview The Applied AI Engineer is responsible for identifying, developing, and implementing ... Implement monitoring and support processes that promote system stability and long-term performance.

The role involves ensuring the stability, performance, and security of client environments while ... monitoring. • Configure and support routers, switches, firewalls, VPNs, and wireless solutions ...

... Engineering, and Planning leaders to understand strategic objectives and support execution of program commitments * Develop program financial metrics and KPIs, monitor performance against commitments ...

Showing results 21-40

Performance Monitoring Engineer information

See Arcade, NY salary details

$9

$51

$84

How much do performance monitoring engineer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for performance monitoring engineer in Arcade, NY is $51.83, according to ZipRecruiter salary data. Most workers in this role earn between $42.50 and $58.65 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.

What cities near Arcade, NY are hiring for Performance Monitoring Engineer jobs?

Cities near Arcade, NY with the most Performance Monitoring Engineer job openings:

AI Governance Lead

M&T Bank

Buffalo, NY • On-site

$123K - $206K/yr

Full-time

Posted 3 days ago

New


M&T Bank rating

7.9

Company rating: 7.9 out of 10

Based on 188 frontline employees who took The Breakroom Quiz

77th of 175 rated banks


Job description

Role Summary
Own the design and execution of the enterprise AI governance program. Build the standards, policies, and procedures that govern how AI use cases and models move from idea to production. Structure the governance roadmap across intake, classification, value assessment, and control design. Stand up use case governance and model governance functions, define the target state for AI governance across the organization, and drive an implementation plan with clear monitoring, prioritized against engineering delivery timelines.
Key Responsibilities
Governance Framework Design
  • Author and maintain AI governance standards, policies, and procedures covering the full lifecycle of AI use cases and models
  • Design the governance roadmap organized into intake, classification, value assessment, and control design stages
  • Define risk tiers and controls proportional to use case risk (e.g., low/medium/high risk classification tied to required controls)

Use Case Governance
  • Build the intake process for new AI use cases: how requests enter the pipeline, what information is captured, who reviews them
  • Establish classification criteria (risk level, data sensitivity, regulatory exposure, business criticality)
  • Design value assessment methodology to prioritize use cases against cost, risk, and business impact
  • Define control requirements per classification tier (documentation, testing, sign-off, monitoring)

Model Governance
  • Establish model risk management practices: validation, documentation, versioning, approval gates
  • Define requirements for model cards, testing evidence, bias/fairness checks, and performance monitoring
  • Set standards for third-party and open-source model vetting

Target State & Team Build
  • Define the target state for AI governance: what "good" looks like, what the organization should expect from the function
  • Design the governance team structure, roles, and operating model
  • Set RACI across governance, engineering, legal, risk, and business stakeholders

Implementation & Monitoring
  • Build a phased implementation plan with milestones and owners
  • Prioritize governance rollout in sequence with engineering platform and architecture delivery
  • Establish monitoring and reporting: KPIs, compliance tracking, exception handling, escalation paths
  • Run periodic reviews of the governance program's effectiveness and adjust as needed

Required Qualifications
  • Combined minimum of 10 years' higher education and/or operational/business analytics/systems development experience
  • Demonstrated experience building a governance framework or program from the ground up in a large or complex organization
  • Working knowledge of model risk management practices (e.g., SR 11-7 or equivalent) and how they extend to AI/ML systems
  • Experience designing intake, classification, and risk assessment processes for technology or data initiatives
  • Experience working cross-functionally with engineering, legal, compliance, and business teams
  • Strong written communication skills; able to produce policy documents, standards, and executive-level reporting
  • Bachelor's degree in a relevant field (risk, business, computer science, law, or similar); advanced degree a plus but not required in place of experience

Preferred Qualifications
  • Direct experience with AI-specific regulatory frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001) and applying them practically
  • Prior experience standing up or scaling a governance team, including hiring and role design
  • Familiarity with MLOps and model deployment pipelines, enough to design controls that don't bottleneck engineering
  • Experience with generative AI governance specifically (prompt/data leakage risk, hallucination controls, third-party LLM vendor risk)
  • Certifications such as CRISC, CISA, or AI governance-specific credentials
  • Experience in a regulated industry (financial services, healthcare, insurance)

Skills Required
  • Policy and standards writing
  • Risk classification and control design
  • Stakeholder management across technical and non-technical audiences
  • Program/project management (roadmap building, milestone tracking, prioritization)
  • Working knowledge of ML lifecycle and model development practices
  • Data literacy: able to read model documentation, validation reports, and technical risk assessments
  • Facilitation and negotiation, particularly balancing governance rigor against engineering velocity

#LI-JB3
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $123,600.00 - $206,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.
Location
Buffalo, New York, United States of America

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