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Remote Computer Science Student 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

AP Statistics Tutor

Buffalo, NY · Remote

$40/hr

Guides students through interpreting computer output, checking inference conditions, analyzing two ... social science research, public policy, and medical studies. * Curriculum Awareness & Adaptive ...

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

Remote Computer Science Student information

What is a remote computer science student?

A remote computer science student is someone who is studying computer science online, rather than attending classes in person. This allows them to access coursework, lectures, and assignments through digital platforms from anywhere with an internet connection. Remote students often interact with professors and classmates via email, discussion boards, or video calls. This flexible learning format can be beneficial for those balancing other commitments or living far from campus.

What are some effective strategies for staying engaged and productive as a remote computer science student?

As a remote computer science student, maintaining engagement and productivity can be challenging due to fewer in-person interactions and the need for self-discipline. Setting a structured daily schedule, actively participating in virtual discussions, and regularly collaborating with peers on group projects can help. Utilizing online resources, seeking feedback from instructors, and joining virtual study groups are also effective ways to stay connected and motivated. It's important to create a dedicated workspace and set clear goals to manage your time efficiently and avoid distractions.

What are the key skills and qualifications needed to thrive as a remote computer science student, and why are they important?

To thrive as a Remote Computer Science Student, you need a solid understanding of programming fundamentals, algorithms, and data structures, typically supported by enrollment in a computer science degree program. Familiarity with coding platforms (like GitHub), learning management systems (such as Canvas or Blackboard), and collaboration tools (like Zoom and Slack) is common. Self-motivation, time management, and strong written communication skills are essential soft skills for remote study success. These competencies ensure effective learning, collaboration, and progress in a virtual academic environment.

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

AspectRemote Computer Science StudentRemote Software Developer
Required CredentialsEnrolled in a computer science program, often no professional certifications neededTypically holds a degree or certification in software development or related field
Work EnvironmentPart-time or internship roles, flexible hours, learning-focusedFull-time or project-based, professional work environment
Employer & Industry UsageEducational institutions, internships, entry-level projectsTech companies, startups, freelance projects
Search & Comparison IntentLooking for learning opportunities, internships, or entry-level rolesSeeking professional remote software development jobs

The main difference between a Remote Computer Science Student and a Remote Software Developer lies in their experience and employment status. Students focus on learning and internships, often without professional certifications, while software developers are experienced professionals working on projects. Both roles may work remotely, but their responsibilities and career stages differ.

Can I work remotely with a remote computer science student?

A remote computer science student can often work remotely in internships, part-time roles, or freelance projects that match their skills and schedule. Many tech companies and startups offer remote opportunities that require knowledge of programming languages, collaboration tools, and self-motivation. However, eligibility may depend on the employer's requirements and the student's availability.

What are the most commonly searched types of Computer Science Student jobs in Buffalo, NY?

The most popular types of Computer Science Student jobs in Buffalo, NY are:

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

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

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

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

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

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

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 17 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.