Top Remote Staff Software Engineer Jobs

Lead a small engineering squad as Technical Lead/Architect to design and build Agentic AI-powered backend systems. Architect high-concurrency Python microservices, Agent-Ready APIs, secure integrations (OAuth2/Webhooks), implement auth (JWT/OpenID Connect), optimize performance (Postgres/MS SQL), and use autonomous coding agents to accelerate the AI-native SDLC while providing technical mentorship and rigorous code quality.

Design and deliver major Azure-based data systems and products (ingestion, transformation, storage, semantic modeling). Build production-grade pipelines and feature infrastructure for analytics and ML, drive platform architecture and standards, diagnose performance and scalability issues, mentor engineers, and partner with stakeholders to translate business needs into scalable data solutions.

Design, build, and support scalable, stable web and mobile digital products. Communicate with stakeholders, estimate scope, lead and mentor engineers, produce extensible technical solutions, and use data-driven iterative development.

Build and scale Python/Django REST APIs and React UIs, own department-wide technical initiatives, improve test coverage and system reliability, debug technical debt, mentor engineers, and drive architecture and tooling decisions.

Lead development of performant React UIs and Python/Django backend services. Own architecture and org-level initiatives, improve test coverage, resolve technical debt, mentor engineers, and drive secure, scalable system design and best practices across the stack.

Lead full-stack growth engineering efforts to optimize top-of-funnel and intake workflows. Ship reliable, observable, and scalable features; connect technical investments to product and business metrics; build tooling and automation; integrate external partners; leverage data, A/B testing, and AI to reduce friction and improve conversions while ensuring privacy, compliance, and high-quality engineering practices.

Design, develop, and maintain backend platform services and APIs using Go/JS/Node/GraphQL. Lead architecture, CI/CD, and AWS-based deployments (Lambda, Fargate). Troubleshoot production issues, produce technical designs and estimates, mentor junior engineers, and drive scalable software best practices.

Lead design and implementation of high-performance distributed storage systems and protocols (object, block, file) for AI infrastructure. Set technical direction, author designs, mentor engineers, integrate with hardware (NVMe, DPUs, GPU-direct), optimize performance, build benchmarking and observability tooling, and drive cross-team deployments and incident response in multi-petabyte data center environments.

Lead architecture and roadmap for a company-wide data lakehouse platform. Build platform-as-product components (SDKs, CLIs, control planes), optimize distributed compute/storage, prototype performance R&D, ensure compliance-by-design (lineage, PII masking, access control), enable real-time AI data ingestion, drive engineering standards, and mentor cross-functional teams.

Lead design and delivery of agentic-first capabilities in Nexus Repository Manager: architect multi-agent subsystems, own product area execution, define verification and eval harnesses, ensure security/reliability for software supply chain features, and mentor senior engineers while coordinating cross-functional stakeholders.

Lead the long-term technical vision and architecture for ServiceTitan's iOS platform. Design scalable mobile frameworks, define data access patterns via GraphQL, champion TCA, adopt Apple platform capabilities, integrate AI-assisted developer tools, drive cross-org alignment, mentor senior engineers, and set engineering standards for code quality, performance, testing, and extensibility.

Lead architecture and technical direction for Ocient's Loading and Transformation platforms, designing scalable batch and stream ingestion systems. Own ambiguous, cross-team initiatives end-to-end, mentor engineers, and implement high-performance distributed software using modern C++ and/or Java. Partner with product, sales, and customers to translate needs into reliable, petabyte-scale solutions.

Lead engineering of core scheduling and orchestration subsystems for an orbital edge compute platform. Own an MVP for autonomous scheduling across compute node fleets, scale to larger satellite fleets with data sovereignty, design performant and reliable distributed engines, build scheduling and workload-placement logic for intermittent-connectivity edge environments, and provide technical leadership while partnering with cross-functional teams to deliver secure, customer-focused solutions.

Lead a small engineering team to design, build, and deliver full-stack features using React, TypeScript, Python (Django), Node.js, and PostgreSQL. Own technical delivery from design through deployment, driving testing, CI/CD, containerized deployments (Kubernetes), event-driven architectures (Kafka), performance, reliability, and mentoring across the team while partnering with Product and Design.

Build and operate backend systems and APIs (Go, REST/gRPC) for entitlements, policies, and customer onboarding. Lead cross-team integrations, extend AI features into customer experiences, own features end-to-end, mentor engineers, and drive a product-focused roadmap with iterative delivery.

Lead design and implementation of a highly available GPU/CPU host and instance lifecycle control plane. Drive hardware enablement, BIOS/firmware and DPU integrations, multi-tenant security, and durable execution models. Provide technical leadership across teams, translate customer and datacenter requirements into scalable infrastructure, and set engineering standards for mission-critical, large-scale AI cloud systems.

Design, build, and maintain scalable data pipelines and ingestion agents for fleet robotics. Define efficient data formats/protocols, implement observability and big-data processing (Spark/Kafka), and build cloud tools (S3, Athena, SageMaker) for analytics, IoT integration, and long-horizon forecasting to improve robot performance and operational insights.

Lead design and implementation of scalable APIs and agent communication layers for an AI-agent driven advertising marketplace. Build high-throughput backend systems, integrate agent frameworks and adtech partners, drive architecture for authentication and protocols, mentor engineers, and prototype agent communication patterns while collaborating with product and design.

Lead architecture and implement core backend services and data models that manage account state, eligibility, and entitlements at scale. Collaborate with product, design, Payments/Wallet, and identity teams to ensure correctness, reliability, and extensibility. Drive cross-team architecture decisions, mentor engineers, run design reviews, and proactively identify and mitigate scalability, reliability, and data-integrity risks.

Lead technical strategy and execution for build, test, release, and deployment systems. Drive initiatives to improve developer productivity, deployment safety, and platform reliability. Coordinate cross-team projects and migrations, contribute high-impact code, coach engineers, and lead incident response and resilience improvements for shared engineering systems.

Lead design and implementation of a highly available GPU/CPU host and instance lifecycle control plane. Bridge firmware, kernel, DPU, and semiconductor architecture with distributed systems. Provide technical leadership, mentor senior engineers, set engineering standards, collaborate with product and data-center teams, and translate customer requirements into scalable infrastructure.

Design, build, and maintain a secure, high-performance browser extension (Manifest V3) for Chrome/Edge and major browsers. Implement secure interactions with web content and backend services, optimize reliability, collaborate with endpoint and backend teams, and stay current on browser APIs and security standards.

Design, build, and operate managed compute primitives for Temporal Cloud: autoscaling, multi-tenant safety, multi-cloud integrations, secure cross-account execution, observability (SLOs, tracing/metrics), and ship end-to-end APIs with strong operational ownership and mentorship.

Lead design and implementation of scalable, production-grade data products and feature pipelines for ML. Build batch and streaming pipelines, ensure data quality, observability, and reproducibility, partner with data scientists and platform teams, and drive cross-team architecture and standards for ML-ready datasets.

Build and maintain the GG App across Windows, macOS, and iOS including installers, background services, auto-update systems, enterprise deployment paths, health reporting, AWS backend, and documentation. Lead architecture decisions, mentor engineers, participate in on-call support, and champion AI adoption and automation across engineering.