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Weekend Remote Full Stack Web Developer Jobs in Pittsburgh, PA

Huntington

Sr. Innovation Software Engineer

Pittsburgh, PA · On-site +1

$118K - $156K/yr

This role requires strong hands-on full-stack engineering skills, experience building AI integrated ... Remote roles will also have the opportunity to come together in our offices for moments that matter.

A.C. Coy

Platform Development Team Lead

Pittsburgh, PA · On-site +1

Can be Hybrid OR Remote; Office located in Downtown Pittsburgh (free parking) Job Type: Full time ... mentoring engineers and owning a platform's technical direction * Experience building full stack ...

Huntington

Salesforce Tech Lead

Pittsburgh, PA · On-site +1

$54 - $71.25/hr

Participate in enhancements to DevOps processes (pipelines, monitoring, test automation ... full-stack development experience. * Subject matter expertise in branching/code merging practices ...

Huntington

Salesforce Tech Lead

Pittsburgh, PA · On-site +1

$54 - $71.25/hr

Participate in enhancements to DevOps processes (pipelines, monitoring, test automation ... full-stack development experience. * Subject matter expertise in branching/code merging practices ...

Varsity Tutors

Supabase Tutor

Pittsburgh, PA · Remote

$18 - $40/hr

Emphasizes backend architecture understanding and connects Supabase to modern web application ... and full-stack project development to support developers from Supabase beginners through advanced ...

DataAnnotation

SDLC Engineer - AI Trainer

Pittsburgh, PA · Remote

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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Weekend Remote Full Stack Web Developer information

See Pittsburgh, PA salary details

$48.1K

$114.4K

$234K

How much do weekend remote full stack web developer jobs pay per year?

As of Jul 1, 2026, the average yearly pay for weekend remote full stack web developer in Pittsburgh, PA is $114,440.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,700.00 and $124,300.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Remote Full Stack Web Developer vs Part-Time Web Developer?

AspectWeekend Remote Full Stack Web DeveloperPart-Time Web Developer
Work SchedulePrimarily works on weekends, full-stack responsibilitiesWorks fewer hours, flexible schedule, may include weekdays
CredentialsSame as standard web developer, often requires proficiency in front-end and back-endSimilar credentials, focus on specific tasks or projects
Work EnvironmentRemote, independent, project-basedRemote or hybrid, project or task-based
Industry UsageCommon in freelance, startups, or flexible companiesUsed in various industries for part-time project needs

The Weekend Remote Full Stack Web Developer and Part-Time Web Developer roles both involve flexible, remote work with similar technical requirements. The key difference is that the Weekend Remote Full Stack Web Developer primarily works on weekends with full-stack responsibilities, while the Part-Time Web Developer may work fewer hours across weekdays or weekends, often focusing on specific tasks or projects.

What are popular job titles related to Weekend Remote Full Stack Web Developer jobs in Pittsburgh, PA? For Weekend Remote Full Stack Web Developer jobs in Pittsburgh, PA, the most frequently searched job titles are:
What job categories do people searching Weekend Remote Full Stack Web Developer jobs in Pittsburgh, PA look for? The top searched job categories for Weekend Remote Full Stack Web Developer jobs in Pittsburgh, PA are:
What cities near Pittsburgh, PA are hiring for Weekend Remote Full Stack Web Developer jobs? Cities near Pittsburgh, PA with the most Weekend Remote Full Stack Web Developer job openings:
Weekend Remote Full Stack Web Developer jobs near you
Staff Software Engineer, Machine Learning Inference Platform

Staff Software Engineer, Machine Learning Inference Platform

Stack AV

Pittsburgh, PA • On-site, Remote

Full-time

Posted 17 days ago

Job description

About Stack:
Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real world systems for demanding environments, the Stack team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.
About the Role:
In the Staff Engineer role, you will define and drive architecture for a high-throughput, low-latency, multi-tenant ML inference platform. You will balance hands-on coding with long-term technical direction, operate across ML Platform, infrastructure, MLE, and external-facing API needs, and establish principled architecture for serving, control plane, observability, capacity, tenant isolation, system economics, and model-engine integration.
Responsibilities:
  • Design platform architecture for multi-tenant inference workloads across serving, orchestration, control plane, APIs, SDKs, observability, and model-engine integration.
  • Develop robust API layers (gRPC, WebSockets, REST, etc.) and developer SDKs that abstract complex distributed inference orchestration into seamless, reliable token streams.
  • Build and harden a multi-tenant control plane to enable accurate metering, rate limiting, quotas, tenant isolation and noisy-neighbor fairness across the platform.
  • Optimize inference performance across the entire system stack, including the model engine layer.
  • Build observability and SLOs to gain insights into system economics, cache-hit rates, GPU utilization and cost accounting per model and per tenant.
  • Partner with product and infrastructure teams on model onboarding, capacity planning, external API contracts and customer adoption.
  • Promote Engineering Excellence: Maintain a high bar for engineering excellence in their own work but also set a culture of engineering excellence within the team.

Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 7+ years of experience building and operating backend distributed systems end to end.
  • Demonstrated cross-team technical leadership in backend distributed systems, ML infrastructure, inference serving, or high-performance compute platforms.
  • Strong Data & ML systems fundamentals: data-intensive distributed systems, concurrency, networking and performance profiling.
  • Hands-on experience running large-scale inference services on GPUs, including KV caches, prefill/decode stages and throughput/latency trade-offs.
  • Direct experience with inference engines (TensorRT, vLLM, etc) or serving frameworks (Dynamo, Triton or equivalent).
  • Technical Skills:
    • Strong programming skills in C++, Go, Rust or Python.
    • Familiarity with deep learning frameworks (PyTorch, etc.) as well as model parallelism.
    • Familiarity with GPU computing primitives such as CUDA, NCCL, NVLink, and hardware-specific optimizations.
    • Practical understanding of high-performance networking architectures, including InfiniBand, RoCE, and low-latency cluster communication.
  • Communication: Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
  • Autonomous vehicles (AV) experience is a bonus.

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.
Check out our Privacy Policy.
Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV's ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate's residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate's residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate's application.

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