Top Backend Engineer Jobs in Seattle, WA

Design and implement secure, scalable backend services for speech inference and audio processing. Optimize networking, transcoding, latency, memory, and distributed compute orchestration. Measure and improve system performance, debug complex networking/scheduling/HPC issues, customize services for customers, and partner with Product to deliver features end-to-end.

Build scalable, reliable backend services and AI-native roleplay experiences for Yoodli. Own services end-to-end, contribute across frontend and backend systems, work with LLMs and generative AI, and develop secure, maintainable enterprise software. Collaborate closely with engineering and product teams, debug distributed systems, shape technical strategy, and deliver customer-focused solutions. The role requires working onsite in Seattle three days per week.

Design, deliver, and operate scalable .NET Core backend services and APIs for an AI-driven advertising platform. Lead technical design, improve reliability and observability, conduct post-mortems, review code, mentor engineers, document architecture, and collaborate with Product and Engineering leadership. The role focuses on distributed systems, high-throughput workloads, partner integrations, performance, security, and platform growth.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Design and implement scalable backend services for payment and transaction workflows using Java. Own end-to-end features from data model and APIs to Angular frontends, improve reliability and performance, refactor legacy systems, troubleshoot production issues, and collaborate with product and design. Leverage AI-assisted development tools responsibly and share best practices across the team.

Design and implement Kotlin backend services and end-to-end systems for Toast POS device management. Lead technical designs, estimations, performance optimization, cross-team collaboration, and software quality practices including modern testing and observability. Mentor peers and drive product roadmap alignment with product, hardware, and QA stakeholders.

Lead and deliver quarterly goals for a backend team; guide engineers through ambiguous problems; collaborate with product, design, and analytics; identify and resolve project and technical issues; ensure operational availability and on-call readiness; set code and design quality standards; and mentor and develop team members.

Develop, maintain, and optimize mission-critical backend APIs and scalable cloud services for web and mobile clients. Implement secure, high-performance systems, automated tests, observability, and technical documentation. Mentor peers, follow best practices, and support a proof-of-concept launch and fundraising activities as a volunteer contributor.

Design, build, and operate backend systems for prediction markets, including order management, trade matching, settlement, and market resolution. Architect distributed, low-latency systems with strict financial correctness, lead multi-quarter technical projects, mentor engineers, and collaborate with Product, Compliance, and Risk to meet regulatory requirements.

The Back-end Engineer will develop and maintain services and APIs, design data models, and contribute to system stability, collaborating with other engineers and product managers.

Own and evolve the backend and Go networking engine for a consumer VPN product. Responsibilities include stabilizing production systems, developing account, subscription, server-selection, and WireGuard APIs, integrating payment and analytics platforms, improving security, testing, observability, documentation, and CI/CD, and collaborating with mobile, infrastructure, product, and operations teams.

Build and maintain async Python backend services and FastAPI APIs supporting high-volume attention measurement products. Collaborate with data engineering, data science, product, and customer success teams to integrate data pipelines, models, and production features. Responsibilities include testing, code reviews, performance tuning, production troubleshooting, monitoring, reliability improvements, and working with AWS infrastructure, databases, and Airflow-orchestrated workflows.

Design and build backend systems for finance and accounting modules within an AI-native ERP platform. Responsibilities include modeling invoicing, payments, and financial reporting data; developing Python and FastAPI services with PostgreSQL; building integration APIs; aggregating operational and financial data; and owning greenfield features from design through deployment. The engineer will primarily own backend systems while contributing to React frontend development as needed.

Build and operate distributed cloud services for Microsoft Dataverse Runtime, enabling secure AI agents, copilots, workflows, and enterprise applications. Responsibilities include architecture, implementation, deployment, monitoring, incident response, reliability improvements, and operational excellence for highly available services. The engineer will partner across Azure, Power Platform, Dynamics 365, and AI teams, contribute to technical decisions, support production systems, use AI-assisted engineering tools, and mentor other engineers.

Build and ship backend systems and robust architectures for SMB and enterprise restaurant customers. Drive end-to-end development including planning, CI/CD, and productionization. Collaborate on product roadmap, iterate from user feedback, and contribute to team culture and growth.

Design, build, and optimize scalable backend services, APIs, and data pipelines. Integrate with third-party billing/commerce systems, maintain serverless/event-driven architectures on AWS, ensure security and performance, implement automated tests and CI/CD, mentor engineers, and drive architectural decisions.

Design, implement, and operate high-throughput, low-latency SSP services. Integrate with DSPs and data providers, apply AI-first approaches, resolve performance bottlenecks, drive observability/automation, participate in on-call SRE duties, and mentor other engineers.

Lead technical strategy and delivery for backend marketplace/search systems. Collaborate with PM, design, and analytics; own operational reliability, monitoring, on-call, testing, and runbooks; set code/design standards; drive major feature delivery and deprecations; mentor and develop engineering talent.

Lead backend engineering for Coupang’s fulfillment picking systems. Design scalable microservices, distributed architectures, and machine learning pipelines supporting inventory and promise workflows. Lead complex cross-functional projects, decompose technical problems, optimize performance and fault tolerance, and operationalize highly available production systems. Mentor engineers, influence multiple teams, and promote engineering best practices across the organization.

Build and scale customer-facing full-stack platforms using React, TypeScript, Go, Java, Python, Node.js, and AWS. Develop APIs, microservices, distributed systems, databases, cloud infrastructure, and automated deployments. Participate in architecture and code reviews, testing, security, observability, CI/CD, and production troubleshooting. Collaborate with product and design teams, communicate technical decisions, mentor engineers, and independently deliver complex initiatives across distributed Agile teams.

Lead backend development to scale and harden API infrastructures, implement unit testing playbooks, optimize core algorithms, support migration from Supabase to a robust cloud provider, ensure system reliability and scalability, collaborate with frontend and DevOps, and integrate AI workflows and RPA where applicable.

Build and maintain backend services and APIs, write unit tests, debug and optimize systems, support migration from Supabase to cloud, improve reliability, and integrate AI/RPA workflows while learning under senior mentorship.

Build and scale backend services powering an AI scheduling assistant: orchestrate scheduling, email, API and LLM integrations; develop trainer and operations tooling; contribute to architecture and technical direction.

Design, implement, and optimize high-performance backend systems in Rust for an xOT security platform. Participate across the development lifecycle—debugging, testing, and performance tuning—while integrating relational and NoSQL data stores, microservices, third-party devices, and AI tools. Provide technical leadership, code review feedback, and promote secure, reliable, observable distributed systems.

Design, build, and maintain backend services powering Clerkie's platform. Improve reliability, performance, scalability, observability, and support feature development. Participate in technical design, cross-functional collaboration, documentation, and own projects end-to-end in a fast-moving startup environment.