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Remote Operational Technology Engineer Jobs in Buffalo, NY

Kemper

SVP, Chief Technology Officer (CTO)

Buffalo, NY · On-site +1

... IL, Remote-MI, Remote-NJ, St. Louis, Missouri Details Kemper is one of the nation's leading ... Cloud & Platform Engineering Lead the strategy, engineering, and operation of enterprise technology ...

Imagine Staffing Technology

Salesforce Engineer

Buffalo, NY · Remote

$53.75 - $71.25/hr

Remote Hire Type : Contingent Pay Ra t e: $ 8 0 .00 /hour on W2 Work Model : Remote Contact Email ... Participate with other Development, operations and Technology staff in overall systems development ...

Quora

iOS Engineer -Remote

Buffalo, NY · Remote

$61.63 - $88.47/hr

We are seeking a talented iOS Engineer to join us in building Poe, an innovative platform that ... You will work at the cutting edge of technology to design, develop, and maintain the Poe iOS app.

Postman

Enterprise Solutions Engineer

Boston, NY · Remote

$200K - $245K/yr

Remote work friendly, with the ability to travel up to 50% * Loves teamwork & collaboration in a ... Customer-facing experience & comfortable engaging all levels of technologists, including individual ...

Measurabl

Solutions Engineer, NA

Boston, NY · On-site +1

$110K - $140K/yr

We believe technology plays a central role in creating a sustainable, equitable world, and we're ... Quantify operational savings, risk mitigation, and compliance efficiencies * Support ROI modeling ...

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Remote Operational Technology Engineer information

See Buffalo, NY salary details

$34.9K

$82.4K

$130.8K

How much do remote operational technology engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote operational technology engineer in Buffalo, NY is $82,364.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $91,100.00 per year, depending on experience, location, and employer.

How does a remote operational technology engineer typically collaborate with on-site teams to resolve technical issues?

Remote Operational Technology Engineers often work closely with on-site teams by leveraging digital communication tools such as video conferencing, remote desktop software, and real-time monitoring systems. They provide technical guidance, troubleshoot problems, and help implement solutions without being physically present. Building strong relationships with on-site staff and maintaining clear, timely communication are crucial, as remote engineers rely on accurate feedback and updates to diagnose and address operational technology challenges effectively.

What is the difference between Remote Operational Technology Engineer vs Remote Industrial Automation Technician?

AspectRemote Operational Technology EngineerRemote Industrial Automation Technician
CredentialsBachelor's in Engineering or related field, certifications like Cisco, CompTIATechnical diploma or associate degree, certifications in PLCs or SCADA systems
Work EnvironmentDesign, implement, and maintain OT systems remotely in industrial settingsInstall, troubleshoot, and repair automation equipment remotely or on-site
Industry UsageManufacturing, energy, utilities with focus on system integrationFactories, plants, and facilities managing automation hardware

The Remote Operational Technology Engineer focuses on designing and maintaining OT systems remotely, ensuring system security and integration. In contrast, the Remote Industrial Automation Technician primarily handles troubleshooting and repairing automation hardware remotely or on-site. Both roles require technical certifications and are vital in industrial sectors, but their core responsibilities differ in scope and focus.

What are the key skills and qualifications needed to thrive as a remote operational technology engineer?

To thrive as a Remote Operational Technology Engineer, you need a solid background in industrial control systems (ICS), networking, and cybersecurity, typically backed by an engineering degree or equivalent experience. Familiarity with SCADA, PLC programming, remote monitoring tools, and relevant certifications like CISSP or ISA/IEC 62443 is common. Strong problem-solving, communication, and self-management skills set standout professionals apart, especially when collaborating remotely with diverse teams. These skills are crucial for maintaining secure, reliable, and efficient operations in complex industrial environments while working off-site.

What is a remote operational technology engineer?

A Remote Operational Technology (OT) Engineer is a professional who manages, monitors, and maintains industrial control systems and networks from a remote location. They ensure that critical infrastructure systems, such as those in manufacturing, energy, or utilities, operate efficiently and securely. Their responsibilities often include troubleshooting equipment issues, implementing cybersecurity measures, and supporting automation systems. This role is increasingly important as more organizations adopt remote monitoring and control solutions for their OT environments.
What are popular job titles related to Remote Operational Technology Engineer jobs in Buffalo, NY? For Remote Operational Technology Engineer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Remote Operational Technology Engineer jobs in Buffalo, NY look for? The top searched job categories for Remote Operational Technology Engineer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Operational Technology Engineer jobs? Cities near Buffalo, NY with the most Remote Operational Technology Engineer job openings:
Remote Operational Technology Engineer jobs near you

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY • Remote

$55.25 - $73.50/hr

Full-time

Re-posted 9 days ago

Job description

Job Title: Solution Architect – AI Platform Reliability & SRE (Mythos SRE)
Location: Remote (Within USA)
Hire Type: Contract
Pay Range: Competitive Hourly Rate
Work Model: Remote with periodic travel to Buffalo, NY
Schedule: Monday – Friday, Standard Business Hours
Recruiter Contact: Samantha Marranca | 716-256-1271 | smarranca@imaginestaffing.net
NO C2C, NO sponsorship given at this time
Nature & Scope:
Positional Overview
Our client is seeking an experienced Solution Architect to support the reliability, scalability, observability, and operational excellence of its enterprise AI platform, Mythos. This role serves as the solution architecture extension of Enterprise Architecture and AI Platform teams, translating strategic platform designs into detailed operational architectures that enable highly available, resilient, and scalable AI services.
The Solution Architect will partner closely with Site Reliability Engineering (SRE), Platform Engineering, Infrastructure, Cloud Operations, and Application Development teams to establish architecture patterns and operational frameworks that support enterprise AI workloads across cloud and co-location environments.
This position is ideal for a hands-on architect with expertise in cloud infrastructure, platform engineering, observability, reliability engineering, and large-scale distributed systems.
Role & Responsibility:
Tasks That Will Lead To Your Success
AI Platform Reliability Architecture
  • Translate enterprise AI platform architecture into detailed operational and infrastructure solution designs.
  • Define reliability, scalability, resiliency, and availability architecture standards for AI workloads.
  • Develop architecture patterns supporting highly available and fault-tolerant AI services.
  • Support enterprise AI platform growth through scalable infrastructure and platform design.
  • Establish architecture guidance for production readiness and operational excellence.
Site Reliability Engineering & Operational Excellence
  • Define architecture patterns supporting SRE best practices across AI platforms.
  • Support implementation of Service Level Indicators (SLIs), Service Level Objectives (SLOs), and error budget frameworks.
  • Develop operational readiness standards and deployment validation processes.
  • Establish reliability engineering practices that improve system stability and performance.
  • Partner with engineering teams to improve incident prevention, detection, and response capabilities.
Scalability & Performance Optimization
  • Design solutions supporting large-scale AI workloads and model-serving environments.
  • Establish architecture patterns that optimize platform performance and resource utilization.
  • Support capacity planning and infrastructure scaling strategies.
  • Identify performance bottlenecks and recommend architectural improvements.
  • Collaborate with engineering teams to improve application and platform efficiency.
Observability & Monitoring
  • Design enterprise observability frameworks supporting AI platform operations.
  • Establish telemetry standards providing visibility into system health, model performance, operational metrics, and risk indicators.
  • Define monitoring, alerting, logging, and tracing strategies.
  • Support implementation of observability tools and telemetry platforms.
  • Ensure operational teams have actionable insights supporting platform reliability and performance.
Infrastructure & Automation
  • Develop architecture guidance for Infrastructure as Code (IaC) and platform automation.
  • Support CI/CD pipeline architecture and deployment automation strategies.
  • Establish repeatable operational patterns supporting cloud and co-location environments.
  • Promote infrastructure standardization and operational consistency.
  • Collaborate with Platform Engineering teams on automation and operational tooling initiatives.
AI Operational Governance
  • Support architecture strategies for AI model monitoring and drift detection.
  • Establish operational frameworks supporting AI governance and platform controls.
  • Define reliability patterns for embedded AI capabilities within enterprise applications.
  • Ensure platform operations align with enterprise security, compliance, and risk management standards.
Cross-Functional Collaboration
  • Partner with Enterprise Architects, Platform Engineering, Infrastructure, Security, Observability, and Development teams.
  • Participate in architecture reviews, design workshops, and Agile ceremonies.
  • Provide technical guidance throughout the SDLC from design through production deployment.
  • Validate architecture decisions and ensure adherence to enterprise reliability standards.
  • Contribute operational insights that influence future platform architecture decisions.
Skills & Experience
Qualifications That Will Help You Thrive
Required Experience
  • Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related discipline.
  • 5+ years of experience in Solution Architecture, Site Reliability Engineering, Platform Engineering, DevOps, or Cloud Architecture.
  • Experience designing highly available, scalable, and resilient distributed systems.
  • Strong understanding of cloud infrastructure and platform architecture principles.
  • Experience supporting production operations and enterprise-scale technology environments.
  • Knowledge of observability, monitoring, logging, and telemetry frameworks.
  • Experience with Infrastructure as Code and deployment automation concepts.
  • Strong communication and stakeholder management skills.
Preferred Qualifications
Experience supporting AI, Machine Learning, or Generative AI platforms.
Experience with Kubernetes, container orchestration, and cloud-native technologies.
Familiarity with observability platforms such as Datadog, Dynatrace, Grafana, Prometheus, Splunk, or OpenTelemetry.
Experience implementing SLI, SLO, and error budget frameworks.
Experience with Infrastructure as Code technologies such as Terraform or CloudFormation.
Cloud certifications within Azure, AWS, or Google Cloud.
Financial services experience preferred.
Experience supporting highly regulated enterprise environments.
Team & Environment
Works closely with Enterprise Architecture, Platform Engineering, Infrastructure, SRE, Security, and Application Development teams.
Serves as a key architecture resource supporting enterprise AI platform operations.
Participates in highly collaborative Agile teams.
Provides technical leadership supporting reliability and operational excellence initiatives.
Work Schedule & Travel
Schedule
  • Monday – Friday
  • Standard business hours
  • Flexible remote work environment
Travel
  • Occasional travel to Buffalo, NY
  • Approximately every 4–6 weeks as required
Compensation & Benefits
  • Competitive hourly compensation
  • Long-term contract engagement
  • Remote work flexibility
  • Opportunity to influence enterprise-wide AI strategy and adoption
Why Join This Opportunity?
This is a unique opportunity to help build and operate next-generation AI platforms at enterprise scale. The successful candidate will play a critical role in ensuring the reliability, resilience, observability, and operational success of AI technologies that support strategic business initiatives across the organization.