Top Remote Staff Software Engineer Jobs

Lead initiatives that enable production-like system testing across engineering. Build realistic test environments, workload generation and replay, fault-injection tooling, shared testing frameworks, and continuous or release validation. Partner with infrastructure, reliability, release, and product teams to convert incident learnings into durable test coverage. Mentor engineers, influence testing strategy, and improve observability, debuggability, and operational readiness.

Design, build, test, document, and operate core backend features for highly scalable, multi-tenant distributed services. The role focuses on concurrency, reliability, latency, scale, multi-region failover, availability, production observability, alerting, dashboards, and runbooks. Staff Engineers also contribute to enterprise on-premise and cloud offerings, improve team velocity, and provide technical leadership across backend systems.

Design, build, and operate highly scalable distributed storage systems for Temporal Cloud. Responsibilities include developing persistence APIs, replication paths, caches, tiered storage, and observability; improving reliability and performance through SLO ownership, chaos testing, profiling, and incident reviews; and providing technical leadership through roadmap planning, RFCs, mentoring, and cross-team delivery.

Lead the design and development of globally scalable traffic management and networking systems. Drive architecture, technical roadmaps, secure-by-default infrastructure, network optimization, cloud orchestration, and operational excellence. Partner cross-functionally with engineering, product, security, customers, and internal teams while mentoring engineers and guiding high-impact distributed systems projects.

Build and maintain testing frameworks, libraries, tools, plugins, fixtures, reporting, and analytics. Partner with engineering and business teams to address testing challenges, prototype new testing approaches, develop shared libraries and utilities, and create tools such as CLIs and data sanitation services. Mentor junior engineers, improve testing accessibility, and advance continuous delivery practices.

Design and build scalable data engineering and AI agent governance capabilities across major cloud AI platforms. Develop ingestion, processing, ETL, observability, security, lifecycle management, and identity governance features. Evaluate emerging AI agent frameworks and interoperability standards, troubleshoot customer issues, document architecture and processes, and collaborate with engineering, security, compliance, product, and support teams. The role also involves improving distributed data systems, mentoring engineers, and leading technical initiatives.

As a Staff Software Engineer at Addition Wealth, you will architect systems, lead product development, and improve user experiences using modern technologies.

Build the core AI platform and high-performance Rust backend powering an AI-native trading copilot. Implement streaming responses, low-latency tool execution, caching, orchestration of models and tools, secure APIs, auditing/tracing, and safe, auditable trading action infrastructure. Partner with product and frontend to enable AI-native UX and translate trading domain requirements into resilient platform primitives.

Build a high-performance, low-latency Rust backend and core AI platform for an AI-native trading experience. Implement streaming responses, tool orchestration, caching, secure APIs (auth, rate limits, auditing, tracing), and safe trading action infrastructure (previews, confirmations, idempotency, audit logs). Partner with product and frontend to enable AI-native UX and translate business domain requirements into secure, resilient platform primitives.

Design and build a high-performance, AI-native web trading experience for sophisticated retail traders. Ship core trading workflows (order entry, positions, blotter, watchlists, alerts), implement trustworthy AI UI patterns, collaborate with backend engineers on low-latency contracts, and iterate quickly with users and stakeholders to deliver end-to-end product features.

Leads software engineering efforts for production applications, including development, testing, deployment, monitoring, security, resilience, and performance tuning. Designs reusable code and architecture documentation, collaborates with product teams, supports agile delivery, and mentors junior engineers. Contributes to technical roadmaps, cross-functional initiatives, platform adoption, system modernization, and AI-driven engineering productivity improvements.

Lead the development of AI products, design scalable systems, advance AI foundations, collaborate with stakeholders, ensure quality practices, and mentor engineers.

Lead the technical strategy and architecture for a scalable clinical data platform. Drive cross-team engineering initiatives, redesign legacy data pipelines, build batch and streaming systems, develop deployment and self-service tooling, improve monitoring, manage data models and governance, ensure privacy and security, and mentor engineers. Partner with product, AI, infrastructure, health systems integration, and business intelligence teams to deliver reliable, extensible data capabilities.

The Software Engineer, Infrastructure will design, build, and operate core platform services while ensuring reliability, security, and efficiency through collaboration with various teams and improving developer experience.

Lead design and operation of test infrastructure at scale: test orchestration, smart selection, parallel sharding, flaky-test detection, observability, SLOs, and on-call. Define technical strategy, drive cross-team projects, mentor engineers, and reduce test feedback time to accelerate engineering velocity.

Lead the architecture and development of backend platforms and agentic AI systems. Design scalable distributed services, APIs, runtimes, orchestration, integrations, evaluation systems, and observability capabilities. Drive ambiguous initiatives from concept through production, ensure reliability and safety, collaborate with customers and product teams, and mentor engineers while remaining hands-on with coding and operations.

Owns technical direction and execution for major products and systems. Designs scalable, reliable architectures across backend, frontend, APIs, databases, and infrastructure; writes code; leads architecture decisions; resolves production issues; improves engineering quality; and mentors engineers across teams. The role requires hands-on leadership, strong system design, and experience delivering complex production systems in distributed international teams.

Lead architecture and technical vision for integrations that ingest external data (e.g., Salesforce, HubSpot) into Jasper's IQ layer. Design scalable, secure data ingestion, define context primitives, drive cross-team alignment, and deliver staff-level initiatives that improve reliability and AI-driven product quality.

Own and modernize the governance domain (auth, roles/permissions, orgs, billing) as a Staff-level backend IC: set architecture, refactor for scale and AI-native workflows, write critical-path code (70-80%), mentor engineers, and partner with product to deliver enterprise-grade governance and compliance features.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

Lead architecture and multi-year technical strategy for financial data pipelines and reporting. Design and deliver backend services in Go, ensure accuracy, timeliness, and auditability of financial data, and partner with Finance/Accounting/Tax to translate regulatory requirements into scalable systems. Mentor senior engineers and set architectural standards across Financial Engineering.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include architecture, modern C++ development, MPI/OpenMP query execution, SIMD and hardware optimization, distributed networking, database internals, in-database machine learning, vector indexing, performance tuning, code reviews, mentoring, and resolving scalability issues across large-scale clustered systems.

The Staff Software Engineer will architect scalable systems, improve development tooling, drive observability, mentor peers, and enhance technical quality across teams.

Design and develop low-latency, high-throughput distributed database kernels for massively parallel analytics. Responsibilities include query execution, columnar storage, transaction management, cluster coordination, hardware-aware optimization, SIMD vectorization, RDMA networking, in-database machine learning, vector indexing, performance tuning, architecture reviews, code reviews, mentoring, and resolving scalability issues.

Lead application engineering for an AI-powered email product across backend, mobile, and desktop platforms. Design reliable AI workflows involving orchestration, state, tool use, retries, fallbacks, and failure handling. Build APIs connecting AI capabilities to product experiences, make architectural trade-offs, establish observability and operational excellence, and lead a small team of senior engineers through hands-on technical mentorship and code development.