ZipRecruiter

Log In

2

Remote Computer Science Graduate Jobs in Buffalo, NY

Postman

Enterprise Solutions Engineer

Boston, NY · Remote

$200K - $245K/yr

Bachelor's degree in Computer Science, a related field, or relevant work experience * Remote work friendly, with the ability to travel up to 50% * Loves teamwork & collaboration in a fast-paced ...

EDISON WELDING INSTITUTE INC

Software Engineer

Buffalo, NY · On-site +1

$110K - $135K/yr

This role can be based in our Buffalo, NY or Columbus, OH facilities, fully remote, or a hybrid mix ... S. in Computer Science, Software Engineering, or a related discipline, or equivalent professional ...

Moog

Solutions Architect

Buffalo, NY · On-site +1

$150K - $180K/yr

Fully Remote or Hybrid if Local - Buffalo, NY Moog's Corporate Group is looking for a Solution ... Bachelor's degree in Engineering, Computer Science, related field or equivalent experience * 8+ ...

Zones

Lead Architect

Buffalo, NY · Remote

$53.50 - $73.50/hr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... LI-Remote #LI-LM1 Zones offers a comprehensive Benefits package While we're committed to providing ...

Zones LLC.

Lead Architect

Buffalo, NY · Remote

$160K - $180K/yr

Bachelor's degree in Computer Science, Engineering, Business or related discipline; equivalent ... LI-Remote #LI-LM1 Zones offers a comprehensive Benefits package While we're committed to providing ...

Varsity Tutors

Python Tutor

Buffalo, NY · Remote

$40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing students for data science, web development, automation, and computer science coursework. * Conceptual ...

micro1 AI

AI Training Specialist - Physics

Buffalo, NY · On-site +1

$80 - $150/hr

Remote (US, Canada, UK focused) micro1 is engaging Physics Experts (Postdoc / Junior professor) to ... Delineate between substantive scientific issues and stylistic or cosmetic matters, providing ...

Varsity Tutors

GRE Tutor

Buffalo, NY · Remote

$40/hr

Advanced Graduate Test Mastery: Comprehensive knowledge of GRE Verbal Reasoning (text completion ... Familiar with GRE format (computer-adaptive by section), common challenges including advanced ...

previous pagenext page

Showing results 21-40

All JobsComputer Science Graduate JobsRemote Computer Science Graduate JobsRemote Computer Science Graduate Jobs in Buffalo, NY

Remote Computer Science Graduate information

What is a remote computer science graduate?

Remote computer science graduates are individuals who have completed a degree in computer science and work in jobs that allow them to perform their duties from locations outside of a traditional office, often from home. These graduates leverage their programming, problem-solving, and analytical skills to contribute to software development, data analysis, IT support, and other technical roles remotely. The demand for remote computer science professionals has grown due to advancements in technology and the increasing acceptance of remote work by employers. Remote roles can offer greater flexibility and access to global job opportunities.

What are the key skills and qualifications needed to thrive as a remote computer science graduate?

To thrive as a Remote Computer Science Graduate, a strong foundation in programming languages (such as Python, Java, or C++), algorithms, data structures, and a relevant computer science degree are essential. Familiarity with version control systems like Git, cloud platforms, and common development tools is typically required. Strong communication, time management, and self-motivation are crucial soft skills for collaborating effectively and staying productive in a remote environment. These skills and qualities enable graduates to successfully contribute to distributed teams, solve complex problems, and adapt to the dynamic demands of remote tech roles.

How do remote computer science graduates typically collaborate with team members and stay engaged while working from home?

Remote computer science graduates often use a range of digital tools like Slack, Zoom, and GitHub to stay connected with their teams, participate in code reviews, and attend virtual meetings. Regular check-ins and agile stand-ups help maintain communication and ensure everyone is aligned on project goals. Many companies also encourage open channels for questions and knowledge sharing, which helps new graduates feel supported and integrated. Staying proactive in communication and seeking mentorship opportunities can further enhance engagement and career growth when working remotely.

What is the difference between Remote Computer Science Graduate vs Remote Software Developer?

AspectRemote Computer Science GraduateRemote Software Developer
Required CredentialsBachelor's in Computer Science or related fieldProven coding skills, often with a degree or equivalent experience
Work EnvironmentEntry-level, project-based, often internships or apprenticeshipsFull-time, collaborative coding environment, often with team tools
Employer & Industry UsageTech companies, startups, research labsSoftware firms, tech companies, SaaS providers
Search & Comparison IntentEntry-level roles, internships, career startersDevelopment roles, coding projects, software engineering

The main difference is that a Remote Computer Science Graduate is typically an entry-level candidate with a degree seeking initial roles, while a Remote Software Developer is a more experienced professional actively coding and developing software. Both roles often overlap in skills and work environment, but the Software Developer role usually requires proven coding experience beyond the degree.

What are popular job titles related to Remote Computer Science Graduate jobs in Buffalo, NY?

For Remote Computer Science Graduate jobs in Buffalo, NY, the most frequently searched job titles are:

What job categories do people searching Remote Computer Science Graduate jobs in Buffalo, NY look for?

The top searched job categories for Remote Computer Science Graduate jobs in Buffalo, NY are:

What cities near Buffalo, NY are hiring for Remote Computer Science Graduate jobs?

Cities near Buffalo, NY with the most Remote Computer Science Graduate job openings:

Remote Computer Science Graduate jobs near you
Infographic showing various Remote Computer Science Graduate job openings in Buffalo, NY as of September 2026, with employment types broken down into 6% Internship, 60% Full Time, 23% Part Time, and 11% Contract. Highlights an 100% Remote job distribution.

Solution Architect AI Platform Reliability & SRE (Mythos SRE)

Buffalo, NY • Remote

Imagine Staffing Technology
Recruiting and Staffing Services • 11 - 50 employees
Learn more about Imagine Staffing Technologyexternal

$55.25 - $73.50/hr

Full-time

Re-posted 16 days ago

Key responsibilities

  • Translate enterprise AI platform architecture into detailed operational and infrastructure solution designs.

  • Define reliability, scalability, resiliency, and availability architecture standards for AI workloads.

  • Design solutions supporting large-scale AI workloads and model-serving environments.

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.