Top Backend Engineer Jobs in Seattle, WA

Build and operate production-grade Python backend services, APIs, distributed systems, data pipelines, and agentic workflows for an AI observability platform. Own ambiguous projects from prototyping through architecture, testing, deployment, and ongoing operation. Collaborate with product, machine learning, and infrastructure teams, while contributing React front ends when needed. The role requires strong backend depth, distributed-systems expertise, cloud experience, and end-to-end product ownership.

Design and build scalable backend services and APIs for a real estate software platform. Develop clean, maintainable Java code on AWS, collaborate with frontend, design, and product teams, and solve performance and scaling challenges. The role requires strong problem-solving skills, debugging ability, data structures and algorithms knowledge, startup experience, and comfort using AI-assisted coding tools.

Build and maintain backend services, REST APIs, cloud workspace provisioning systems, and resource orchestration infrastructure. Improve performance, reliability, scalability, and security while developing integrations, SDKs, and developer tools. Contribute to architecture and ship features from concept to production. The role requires strong TypeScript, JavaScript, and Node.js skills, backend and database knowledge, and familiarity with Docker, Linux, and cloud infrastructure.

Develop and maintain Ruby on Rails backend systems supporting solar development, value evaluation, and loan servicing. Responsibilities include writing and reviewing code, maintaining CI/CD pipelines, solving complex domain problems, collaborating with Product and company experts, shaping architecture and technical direction, and improving engineering processes as the company scales.

Design and maintain scalable backend systems in a distributed microservices architecture. Build RESTful APIs, integrate third-party vendors, optimize SQL and NoSQL databases, and implement messaging, observability, CI/CD, and cloud infrastructure practices. Lead engineering initiatives from requirements through delivery, contribute to technical strategy, document systems, and improve reliability, performance, and scalability across user-facing applications.

Build and ship healthcare software across the frontend, APIs, and databases. Own features end to end, write tested and maintainable code, prototype with patients and care teams, and use AI tools such as Cursor and Claude Code in daily development. Design scalable systems, improve performance, accessibility, and reliability, and contribute to trustworthy automation in a fast-paced startup environment.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Design and scale production-grade asynchronous backend systems in Python, including REST/WebSocket APIs, multi-agent LLM workflows, provider-agnostic integrations, and RAG pipelines. Build schemas and migrations, optimize relational databases, instrument services, and own CI/CD from testing through deployment. Establish AI governance around code review, provenance, licensing, security, compliance, and customer data. Drive architecture and product ideas from conception through production.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Design and develop scalable backend systems using Kotlin, Micronaut, and Spring. Build RESTful APIs, optimize PostgreSQL and Elasticsearch databases, implement RabbitMQ-based asynchronous processing, integrate AI tools, and create automated tests. Deploy and monitor services on GCP using Docker, Kubernetes, and Terraform. Collaborate cross-functionally, participate in code reviews, troubleshoot performance issues, and deliver reliable backend products.

Develop and operate reliable, scalable cloud-native backend microservices for Webex Signaling. Responsibilities include technical design, Java and Spring development, Kubernetes deployment, DevOps, telemetry, observability, production support, and continuous delivery. The engineer will also use and validate AI-assisted development tools across the software lifecycle while ensuring code quality, security, privacy, performance, and maintainability.

Design, build, and maintain backend services and APIs using Ruby on Rails. Improve performance, scalability, reliability, and write well-tested production code. Collaborate with Product, Frontend, Data Engineering, and QA teams.

Design, build, test, and support EPIC integration solutions across the full interface lifecycle. Gather requirements, resolve integration issues, develop standards and documentation, and provide production support within a remote, volunteer, part-time setup.

Develop and maintain scalable Java backend systems using Spring Boot and microservices architecture. Collaborate with customer teams, review specifications, write clean code, participate in code reviews, document solutions, and troubleshoot and optimize backend performance, reliability, and security. The role also contributes technical expertise to training next-generation AI systems, though prior AI experience is not required.

Design, develop, and maintain scalable, high-performance backend and middleware services on the JVM using Java and Spring/Spring Cloud. Build and enhance microservices, work with AWS and Docker, implement SQL/noSQL solutions (MySQL, Elasticsearch), use Git-based source control and JIRA, collaborate across engineering, design, and QA, and mentor teammates while following best practices and Agile methodologies.

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.

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 scalable backend services, RESTful and GraphQL APIs, database schemas, and cloud infrastructure. Own architecture decisions, optimize performance and reliability, improve CI/CD practices, collaborate across product and engineering teams, lead architecture sessions, review code, and mentor junior developers.

Design, develop, test, and maintain backend services and APIs for secure fintech and crypto products. Collaborate with engineering and product teams on architecture, code reviews, system design, and deployment using Azure. Optimize backend performance and scalability, resolve defects, follow DevOps and CI/CD practices, and build reliable systems supporting payments, transfers, and other financial activity.

The Staff Backend Engineer will architect and implement a scalable, reliable workflow engine, focusing on extreme availability and integrating AI for automation.

Design, build, and scale backend services, cloud infrastructure, databases, and service architectures. Own features end to end with a focus on customer value, performance, security, RBAC, scalable storage, and high-quality product delivery. Collaborate across disciplines as an early employee while learning new technologies and helping shape company culture.

Designs and builds secure, scalable distributed backend systems using Python and AWS. Responsibilities include event-driven architectures, asynchronous processing, cloud data pipelines, serverless applications, REST APIs, performance optimization, authentication, and cloud security. The role requires strong distributed systems, testing, debugging, and backend development expertise, with GenAI, LLM, RAG, and vector database experience preferred.

Build and review end-to-end product features while leading backend and platform architecture. Own data models, PostgreSQL schemas, migrations, third-party integrations, CI/CD, infrastructure, monitoring, security, privacy, and outage response. Collaborate across product, design, marketing, and data teams, and help develop AI-assisted coding workflows. This individual contributor role requires strong backend depth, startup production ownership, technical communication, and a willingness to solve varied problems across web and mobile surfaces.

Build and operate reliable backend systems for complex government and enterprise data integrations. Responsibilities include designing bidirectional integrations, asynchronous workflows, retries, idempotency, observability, operational automation, debugging production systems, and creating reusable reliability patterns. The role involves TypeScript and Node.js development, database work, partner collaboration, mentoring, and improving support efficiency in a fully remote environment.