Top Remote Staff Software Engineer Jobs

Design and optimize JavaScript execution engines, JIT/AOT compilation pipelines, memory management, and runtime performance. Build scalable software, automate testing, collaborate with product owners, and own delivery from design through production. Mentor engineers in systems engineering, profiling, and optimization while supporting applications across cloud, web, platform, and service-oriented technology stacks.

Build and own physics-grade robotics simulation infrastructure for manipulation, perception, SLAM, and navigation validation. Model robot dynamics, kinematics, actuation, and sensors; develop scene-authoring and CAD import tools; integrate simulation into CI; support AI data generation; and lead virtual commissioning and digital twin capabilities. The role also evaluates simulation-to-hardware divergence, supports infrastructure users, and balances simulation fidelity with performance.

Staff Software Engineer responsible for technical strategy, scalable full-stack systems, team operations, reliability, monitoring, code quality, and talent development. The role involves building customer-facing card experiences and backend services using Python or Kotlin, AWS, MySQL, Spark, Kubernetes, and React-based frameworks. The engineer will own features end to end, collaborate cross-functionally, manage technical risks and trade-offs, support on-call health, and apply AI safely to improve development and customer experiences.

Lead large-scale initiatives for a high-performance Linux-based network sensor, improving ingestion, scalability, continuous capture, queue reliability, observability, and production diagnostics. Own root cause analysis and postmortems, establish engineering standards, translate business goals into technical plans, and mentor engineers through design and code reviews. The role requires deep Rust expertise, distributed systems experience, concurrent programming, packet capture, message brokers, and cybersecurity best practices.

Own the architecture and technical direction for provider-sourced client products, including lead management, caseload migration, AI-powered inquiry workflows, and provider marketing tools. Partner cross-functionally with product, design, data, sales, customer experience, and pricing teams. Build reliable user-facing systems, guide technical decisions across teams, measure product impact through experimentation, and influence teams without direct authority.

Architect and operate Affirm’s large-scale Amazon EKS compute platform, including cluster lifecycle, node management, autoscaling, shared components, infrastructure automation, workload safety policies, observability, cost and capacity optimization, and self-service workflows. The role drives technical strategy, mentors engineers, partners cross-functionally, and participates in on-call incident response.

Lead the architecture and technical strategy for Affirm’s high-volume observability platform. Design telemetry pipelines and sampling strategies, improve reliability and cost efficiency, integrate observability into AI-assisted development, and drive platform adoption across engineering teams. Remain hands-on while mentoring six engineers, leading cross-functional initiatives, establishing engineering standards, and overseeing monitoring, alerting, on-call operations, and system availability.

Staff Software Engineer responsible for leading design and delivery of large-scale order platform capabilities spanning cloud and point-of-sale systems. The role drives architecture, performance, reliability, API design, code quality, incident response, and technical roadmap alignment. It also requires cross-team collaboration, domain expertise in order processing and synchronization, mentoring engineers, and using AI-assisted development tools to improve productivity.

Lead frontend technical strategy for Affirm’s checkout decision orchestration systems. Design and architect scalable web applications, guide major technical initiatives, improve reliability and operational processes, establish engineering quality standards, collaborate with product, design, and analytics, and mentor engineers. The role focuses on building fast, clear, and reliable checkout experiences using modern declarative UI frameworks.

Designs and deploys AI-powered features and scalable AI/ML services across SaaS products. Responsibilities include translating business problems into AI solutions, integrating large language models, preparing data, evaluating model performance, writing Python, building secure deployment infrastructure, and collaborating with product, data, and cloud operations teams. The role requires production AI/ML experience, scalable data infrastructure expertise, AWS familiarity, and modern DevOps practices.

Design, build, and operate production AI automations and agentic workflows for Toast’s customer care systems. Integrate LLMs with Salesforce Service Cloud, Amazon Connect, and workflow platforms; develop autonomous actions with human oversight; test, monitor, and improve system reliability, accuracy, latency, and cost. Collaborate with software engineers, Salesforce developers, and care operations stakeholders to translate workflows into scalable intelligent solutions.

Improve Radar’s geocoding and autocomplete systems at massive scale by enhancing query understanding, retrieval, ranking, relevance, and location-data quality. Build automated data pipelines, integrate messy global sources, and apply ML or LLMs where useful. Work across Scala and Python data pipelines, Rust search and serving systems, and customer-facing product improvements while participating in on-call support.

Lead the design, development, and operation of integrations and API products. Establish standards for API contracts, authentication, authorization, versioning, reliability, observability, documentation, and developer experience. Drive cross-team system architecture, production readiness, scalability, security, and resilience while mentoring engineers and aligning technical decisions with product and business goals.

Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.

Leads enterprise engineering platforms for embedded software, simulation, and cloud workloads. Designs CI/CD, GitOps, Kubernetes, Terraform, progressive delivery, observability, security, and compliance architectures. Establishes branching, release, quality, and engineering standards across teams while improving productivity, release confidence, and product quality. Mentors DevOps and simulation developers and provides hands-on technical leadership for complex, safety-critical software environments.

Leads development of resilient, scalable features across Toast’s enterprise Sports and Entertainment platform, including backend, frontend, and POS systems. Responsibilities include designing, deploying, testing, monitoring, and maintaining production services; leading complex technical projects; collaborating with Product, Design, Customer Success, Sales, and other teams; mentoring engineers; and using AI tools to improve development productivity.

Build and architect Clear Street Active, a high-performance trading platform for active traders. Develop responsive web interfaces integrating real-time market data, low-latency execution workflows, and advanced trading tools. Collaborate with cross-functional teams on large-scale initiatives while emphasizing scalability, performance, API quality, maintainability, and developer experience.

Architects and develops secure, scalable backend services and AI-assisted workflows for identity and access security. Leads architecture, feature delivery, performance optimization, testing, reliability, and production operations. Integrates AI, ML, and LLM capabilities for access intelligence, risk detection, and remediation. Partners with cross-functional leaders, explores emerging IAM technologies, conducts code reviews, and mentors engineers while driving enterprise-ready solutions.

Lead development and production deployment of machine learning systems for time-series anomaly detection in connected-device environments. Build streaming and MLOps pipelines, tune alerts, monitor model drift, and integrate AI systems with LLM-based assistants. Guide architecture, tooling, observability, and production readiness while mentoring and managing applied AI and full-stack engineers. Collaborate across engineering, product, data, and research teams.

Lead the technical direction, architecture, and development of Compass, an LLM-powered agent platform. Design multi-agent systems, MCP and A2A integrations, orchestration, evaluation, and observability infrastructure. Drive cross-team technical projects, production support, engineering quality, mentoring, and adoption of AI-assisted development practices. Partner with Product, QA, Design, Operations, and Engineering stakeholders to deliver reliable agentic systems.

Lead end-to-end development of reliable care-agent tooling and software services integrating contact-center platforms with backend systems. Own architecture, performance, security, production operations, and technical direction while partnering with product, care operations, QA, and engineering teams. Translate operational workflows into scalable solutions, mentor engineers, and improve tools using agent feedback, operational metrics, and AI-assisted development practices.

Lead technical vision and strategy for Affirm’s Cards backend engineering organization. Architect scalable and reliable platforms, guide cross-team initiatives, champion AI adoption and engineering excellence, influence technical roadmaps, and mentor engineers through Staff level. The role requires strong architectural expertise, organizational leadership, project management, communication, and cross-functional collaboration.

Lead technical execution and architecture for the Loyalty product. Own roadmap, design distributed services and APIs, ensure reliability/observability, integrate with ZMP and AthenaOS, build and coach engineering teams, and drive cross-team delivery of scalable multi-tenant loyalty capabilities.

Set technical direction for Toast’s Developer Experience platform, including local development, build tooling, shared libraries, testing frameworks, and developer portals. The role combines hands-on software engineering with architecture, cross-team technical leadership, AI-assisted development, developer productivity measurement, mentorship, and roadmap prioritization.

Design, build, and deploy scalable Java microservices within an AWS cloud-native platform. Provide technical leadership, architectural direction, code reviews, troubleshooting, proof-of-concept development, and cross-functional collaboration. Lead complex backend features, improve engineering practices with AI tools, support observability and reliability goals, and participate in on-call rotations. Mentor engineers and help drive technical simplification across distributed, event-driven systems.