Top Remote Staff Software Engineer Jobs

Design, develop, and maintain software in a Java environment. Collaborate with cross-functional teams, troubleshoot complex issues, and optimize performance.

Lead architecture, delivery, and operation of large distributed telemetry databases. Define technical strategy, SLOs/SLIs, and reliability practices; drive performance, cost, and observability improvements; lead incident response and cross-team projects; mentor engineers; and represent engineering to stakeholders.

As a Staff Software Engineer, you will architect and build high-impact systems, mentor engineers, solve complex technical challenges, and lead cross-organizational initiatives in a fast-paced AI infrastructure environment.

Lead architecture and implementation of scalable backend systems, distributed infrastructure, and APIs. Own large-scale projects from design to launch, enable low-latency real-time collaboration, integrate generative AI features, drive backend best practices, mentor engineers, and ensure reliability, performance, and security across products.

Leads cross-functional platform engineering initiatives supporting Unity on Android devices. Designs architectures, optimizes runtime performance, establishes benchmarks, resolves complex system-level issues, mentors engineers, contributes to platform roadmaps, documents technical decisions, and participates in design reviews. The role requires advanced C++, C#, and Android systems programming expertise, strong knowledge of computer architecture, multithreading, debugging, profiling, and large-scale platform or runtime systems.

Build and maintain scalable Java microservices and backend components for Imply Lumi and Apache Druid. Develop database features, lead major cross-team initiatives, collaborate with product, design, and engineering teams, and participate in production on-call rotations. The role requires experience with cloud infrastructure, Kubernetes, Helm, relational or OLAP databases, and agile development. Apache Druid, open-source database contributions, Kafka, and Flink experience are advantageous.

The Staff Software Engineer will design and build scalable systems, lead architecture decisions, mentor engineers, and improve existing platforms using PHP, Node.JS, and AWS.

Design and build scalable backend components and indexing pipelines for semantic and hybrid retrieval, build retrieval orchestration and knowledge-graph services, improve retrieval quality via evaluation and observability, design APIs, and optimize latency, throughput, cost, reliability, and security for large-scale AI inference and retrieval workloads.

Provides cross-team technical leadership by architecting scalable systems, leading design reviews, resolving complex technical issues, shipping production code, mentoring engineers, reducing technical debt, and translating business priorities into technical roadmaps. The role requires hands-on full-stack software development, AI-paired delivery, strong communication, and influence without formal authority.

The Staff Software Engineer will architect and implement scalable data systems, collaborate with teams, mentor engineers, and ensure data integrity.

Build and maintain full-stack software products across frontend, backend, data, and AI layers. Own product architecture, deployment, observability, reliability, and maintenance; establish unified data models, secure access controls, AI guardrails, and engineering standards. Collaborate directly with non-engineering users to create self-service workflows and translate ambiguous needs into practical solutions. Ship production LLM-powered systems and support governed data transformation, quality, lineage, and testing.

Lead ambiguous, multi-team software projects for core accounting systems. Set technical direction, make architectural decisions, build and deploy reliable software, review technical specifications, investigate production issues, and improve system reliability. Collaborate with product and cross-functional stakeholders, mentor and sponsor engineers, and maintain high standards for clean, tested code. The role focuses on typed Python backend services, financial systems, integrations, and cloud infrastructure.

Lead platform reliability: define SLOs/error budgets, own observability and deploy pipelines, harden integrations with dental systems, operate LLM-driven workflows safely, build incident practices, and raise engineering reliability across the company.

Lead design and implementation of high-performance distributed storage systems across object, block, and file paradigms. Drive architecture, mentor engineers, integrate storage with networking/compute/DPUs, optimize protocol performance, troubleshoot production data center issues, build benchmarking and observability tooling, and collaborate on cross-functional AI infrastructure deployments.

Lead design and delivery of platform capabilities that power a Federated GraphQL API and event-driven systems. Build and optimize gRPC endpoints, GraphQL APIs, and SQL for scale; own observability (DataDog, Bugsnag), mentor engineers, drive integrations, improve performance and reliability, and support customer-facing product teams across the organization.

Own the technical direction of a core Helius backend system, including architecture, reliability, performance, roadmap, and production operations. Design scalable distributed systems, storage, streaming, or edge infrastructure; drive profiling and performance improvements; establish operational excellence; partner with founders on strategy; mentor engineers; and lead ambiguous cross-team initiatives.

Leads architecture and development of scalable autonomous vehicle simulation and high-fidelity truck dynamics models. Defines validation metrics, robustness testing, and verification strategies supporting safety-case claims, large-scale V&V, and reinforcement learning. Collaborates with autonomy, controls, safety, OEM, and vendor teams; performs C++ development in Linux with ROS/ROS2; investigates simulation and hardware-in-the-loop issues; drives technical direction, testing rigor, and engineer mentorship.

Lead design, implementation, and operation of Signifyd's GCP/Kubernetes cloud platform. Architect scalable, secure infrastructure, embed AI-driven automation, own SLOs and incident response, improve developer experience via CI/CD/GitOps tooling, mentor engineers, manage cloud capacity/FinOps, and build observability and security into the platform.

Develop and maintain embedded networking software for Airwall Zero Trust technology across constrained devices, OpenWRT, and ARM platforms. Work on secure data paths involving IPsec, ESP, IKE, overlay networking, NAT traversal, and PKI. Modernize the technology stack, troubleshoot packet-level networking failures in customer environments, improve code quality and performance, and mentor engineers. The role requires close collaboration with product, engineering, and customers.

Lead development of the production toolchain that compiles complex Python packages (e.g., NumPy, SciPy, PyTorch). Build and maintain build/release pipelines, create and review conda recipes, automate processes, mentor engineers, run incident response and postmortems, and advise leadership on technical tradeoffs. Partner with distribution and wheels teams and validate AI-assisted code where used.

The staff software engineer will lead technical design, develop AWS microservices and automation solutions, and mentor team members.

As a Senior/Staff Software Engineer, you will design and implement products, guide other engineers, and drive innovation in health data solutions.

Lead refactoring and optimization of scalable data pipelines, design next-generation distributed storage and processing systems, build clean interfaces for diverse data consumers, mentor engineers, and establish engineering standards and processes.

Design, build, and operate core CIAM backend services for registration, authentication, authorization, account lifecycle, and profile management. Implement OAuth2/OIDC/SAML/SCIM, develop APIs in Python/Kotlin, integrate identity platforms, automate deployments with IaC/CI-CD, and monitor/optimize services for reliability, security (MFA, token handling, encryption), and abuse detection at scale.

Hands-on staff engineer who architects and builds backend systems integrating AI into insurance claims products. Modernize legacy platforms, design multi-tenant relational backends, prototype and productionize features, set engineering standards, and collaborate closely with Product, Data Science, and Data Engineering.