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Remote Operations Engineer Jobs in Buffalo, NY (NOW HIRING)

Enterprise Solutions Engineer

Boston, NY ยท Remote

$200K - $245K/yr

Remote work friendly, with the ability to travel up to 50% * Loves teamwork & collaboration in a ... Strong understanding of modern development methodologies & DevOps with an appreciation of the ...

Salesforce Engineer

Buffalo, NY ยท 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 ...

Senior Platform Engineer

Buffalo, NY ยท Remote

$100K - $136K/yr

Must be legally authorized to work in the US without sponorship #LI-Remote Who we are Our business ... Our operations span the world, offering you unique paths to growth and success. Who says you can't ...

Senior Platform Engineer

Buffalo, NY ยท Remote

$100K - $136K/yr

Must be legally authorized to work in the US without sponorship #LI-Remote Who we are Our business ... Our operations span the world, offering you unique paths to growth and success. Who says you can't ...

Solutions Engineer, NA

Boston, NY ยท On-site +1

$110K - $140K/yr

Quantify operational savings, risk mitigation, and compliance efficiencies * Support ROI modeling ... Matching 401k * 100% fully remote * Monthly phone & internet reimbursement * Stock options

Engineer, E&I

Buffalo, NY ยท On-site +1

$140K - $180K/yr

This is a remote role and can be based anywhere in the United States. Must be able to travel up to ... operations. At MasTec Industrial, we invest in top talent and foster a respectful, inclusive ...

Sr. Design Engineer

Depew, NY ยท On-site +1

$107K - $115K/yr

We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do ... Review and approve test reports generated by field test operations. May also review technical ...

Sr. Design Engineer

Buffalo, NY ยท On-site +1

$107K - $115K/yr

We are open to a hybrid or remote schedule for anyone located in Northeast region. What Will You Do ... Review and approve test reports generated by field test operations. May also review technical ...

... their operations running smoothly. In this role, you will manage and resolve support tickets ... We provide innovative end-to-end CIS and ERP solutions that were engineered from the ground up to ...

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Showing results 1-20

Remote Operations Engineer information

See Buffalo, NY salary details

$34.9K

$82.4K

$130.8K

How much do remote operations engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for remote operations 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.

Is it possible to work remotely as a remote operations engineer?

Remote operations engineers can often work remotely, especially if their role involves monitoring systems, troubleshooting, and using collaboration tools. Many companies offer remote positions for this role, requiring skills in network management, scripting, and cloud platforms. Availability depends on the employer's policies and the specific job requirements.

What are some common challenges faced by remote operations engineers, and how can they be addressed?

Remote Operations Engineers often encounter challenges such as managing critical systems across different time zones, quickly diagnosing issues without on-site access, and maintaining clear communication with global teams. To succeed, it's important to leverage robust monitoring and automation tools, proactively schedule regular check-ins, and document processes thoroughly. Developing strong relationships with team members and participating in virtual collaboration sessions can also help overcome remote work barriers. In this dynamic role, adaptability and continuous learning are key to staying ahead of evolving technology and operational demands.

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

To thrive as a Remote Operations Engineer, you need a solid background in systems administration, networking, and cloud infrastructure, often demonstrated by a degree in computer science or a related field. Familiarity with tools like AWS, Azure, remote monitoring systems, and relevant certifications such as AWS Certified SysOps Administrator or CompTIA Network+ is highly valuable. Strong problem-solving skills, proactive communication, and excellent time management help engineers excel in remote and collaborative environments. These skills ensure efficient, reliable operations management and smooth coordination with distributed teams and stakeholders.

What is a remote operations engineer?

A Remote Operations Engineer monitors, manages, and optimizes systems and processes from a remote location, ensuring efficiency and reliability. They use advanced technology and software tools to oversee operations in industries like energy, manufacturing, or IT. Their responsibilities include troubleshooting, data analysis, and collaborating with on-site teams to maintain smooth operations. Strong technical skills, problem-solving abilities, and adaptability are essential for this role.

What are popular job titles related to Remote Operations Engineer jobs in Buffalo, NY? For Remote Operations Engineer jobs in Buffalo, NY, the most frequently searched job titles are:
What job categories do people searching Remote Operations Engineer jobs in Buffalo, NY look for? The top searched job categories for Remote Operations Engineer jobs in Buffalo, NY are:
What cities near Buffalo, NY are hiring for Remote Operations Engineer jobs? Cities near Buffalo, NY with the most Remote Operations Engineer job openings:
Infographic showing various Remote Operations Engineer job openings in Buffalo, NY as of August 2026, with employment types broken down into 85% Full Time, 12% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $82,364 per year, or $39.6 per hour.

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Imagine Staffing Technology

Buffalo, NY โ€ข 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.