Top Remote Software Engineer Jobs in Pittsburgh, PA

Build and scale backend systems, APIs, infrastructure, and applications for multimodal sensing and AI intelligence platforms. Responsibilities include processing sensor, audio, video, and environmental data; supporting data pipelines and model inference; ensuring reliability, scalability, and data integrity; and contributing to engineering standards and long-term technical strategy.

Volunteer Salesforce Architect to design and implement Health Cloud solutions, lead integrations (APIs, MuleSoft), configure Salesforce products (Service, Experience, Lightning), support users and BAs, produce technical documentation, and guide technology roadmaps and releases.

Volunteer Principal Full Stack Engineer to lead and contribute across frontend and backend (React/React Native, Node.js, MongoDB). Own feature development, mentor engineers, collaborate with product/design, ship scalable code, and support CI processes. Must commit 4+ hours weekly and attend a weekly standup; first task includes launching a fundraising campaign.

Volunteer senior engineer to develop a cross-platform medical/wellness app (web, iOS, Android). Own full SDLC: design, coding, testing, data models, pipelines, deployments, and collaborate in Agile processes. Attend weekly standups and commit at least 4 hours weekly.

Build high-performance, responsive, and accessible frontend applications across e-commerce, B2B, and internal tools using Next.js, React, and TypeScript. Implement design-system components, optimize Core Web Vitals, add animations, support A/B testing, collaborate in a monorepo with backend teams, and design interfaces for AI agents with real-time streaming and error handling.

Lead and implement full-stack architectural foundations across frontend, backend, and AI interfaces. Define API-first patterns, select standardized libraries and monorepo practices, produce system diagrams and documentation, enforce code quality and testing, and mentor developers to improve performance, security, and maintainability.

Design end-to-end technical architecture for an integrated supply-chain e-commerce platform (MES→WMS→OMS→Payments→Invoices). Define modular service architecture, API contracts, tenant isolation (Postgres RLS), deployment IaC (Terraform, Docker, Traefik), observability (Prometheus/Grafana/OpenTelemetry), security (JWT, Vault), and integration of production AI agent frameworks (LangChain/LlamaIndex/AutoGen). Mentor teams and deliver compliant, scalable technical blueprints with target SLOs.

Leads multiple billing engineering teams through managers and direct team leadership. Owns hiring, performance, culture, delivery, reliability, cross-team coordination, OKR/KPI alignment, incident response, engineering maturity, and AI-native practice adoption. Partners with Product and Design leaders, develops managers and engineers, maintains consistent standards, resolves systemic defects, and ensures cross-team commitments and customer outcomes are delivered.

Leads technical direction for the Partner Services engineering area while remaining hands-on with mission-critical financial systems. Owns architecture roadmaps, ADRs, observability, reliability, security, technical investment, OKRs, and KPIs across multiple teams. Leads major incidents, drives AI-native engineering practices, partners with product and executive stakeholders, participates in architecture governance, and mentors engineers at every level. The role requires strong payments or banking familiarity, executive communication, and extensive technical leadership experience.

Leads technical strategy and architecture for a multi-team billing engineering workstream supporting payments, banking, treasury, and financial settlement. Remains hands-on while owning architecture roadmaps, ADRs, reliability, observability, security, AI-native engineering practices, technical investment, and business outcomes. The role partners with senior engineering and product leaders, manages high-stakes incidents, strengthens engineering maturity, and mentors engineers at every level.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.

Develop coding tasks and reference solutions for evaluating AI systems. Build deterministic verifiers, test suites, scalable backend services, and APIs. Debug complex defects, assess code quality, refactor legacy implementations, optimize performance, and evaluate AI-generated technical reasoning. Document requirements and verification criteria while independently applying software engineering judgment across algorithms, system design, testing, and reliability.

Develop and evaluate coding tasks for AI systems, including bug fixes, feature development, refactoring, optimization, reproducible environments, reference solutions, automated testing, and deterministic evaluation. The role also involves debugging complex codebases, reviewing contributions, documenting technical decisions, and refining evaluation criteria. Candidates should have strong software engineering fundamentals, backend or API development experience, open-source contributions, and proficiency in at least one listed programming language.

Design, develop, test, deploy, and maintain secure, gas-efficient Solidity smart contracts and decentralized applications on EVM-compatible networks. Responsibilities include contract testing with Foundry or Hardhat, gas optimization, code reviews, security audit remediation, dApp and backend integration, deployment automation, upgrade patterns, CI/CD, on-chain monitoring, and incident response. The role also requires staying current with EIPs, EVM changes, and smart contract security practices.

Own the architecture and delivery of major backend services and long-term engineering initiatives. Design scalable, dependable transaction-heavy systems, write technical proposals, assess business impact, and collaborate with product teams. Use and validate AI coding tools, coach engineers, and contribute to the technical roadmap. The role requires expertise in Node.js, TypeScript, distributed systems, and message brokers, with remote work from the US or Canada.

Leads architecture and development of scalable, dependable platform features from concept through release. Creates technical design proposals, evaluates business impacts, uses and validates AI-assisted code, coaches engineers, contributes to technical roadmaps, and partners with product teams to align engineering work with business needs.

Lead a software engineering team by setting performance goals, developing talent, guiding architecture and design, enforcing engineering standards, coordinating cross-functional workflows, delivering incremental releases, managing resources and risks, and ensuring product quality, stability, and security. The role requires extensive enterprise application development experience with Java, .NET, databases, messaging, web services, scripting, and software integration.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

Design, build, and maintain backend services and APIs using Ruby on Rails. Ensure performance, scalability, reliability, and test coverage. Collaborate with Product, Frontend, Data Engineering, and QA to deliver production-quality code for web and mobile platforms.

Design, build, and maintain backend services and APIs using Ruby on Rails. Improve performance, scalability, reliability, and write well-tested production code. Collaborate with Product, Frontend, Data Engineering, and QA teams.

Build and maintain secure, scalable APIs and infrastructure for an AI-powered fintech platform. Develop features across the stack, integrate third-party APIs, deploy infrastructure with Terraform, apply compliance and security practices, and support customers as a technical point of contact. The role involves close collaboration with the CTO in a greenfield, early-stage startup environment.