Software Engineer Jobs in Bellevue, WA

Design, build, and operate identity and access management solutions across cloud, Kubernetes, and SaaS. Implement role design, reduce privilege sprawl, automate access workflows and reviews, integrate logging/metrics into SIEM, detect high-risk permissions, and drive secure-by-default practices and operationalization.

Design, implement, and operate critical, scalable backend services (identity, friend graph, storage). Collaborate across teams, evaluate trade-offs, test and debug, manage availability, scalability, operational excellence, cost, and participate in incident resolution.

Design, architect, implement, and optimize high-performance iOS camera features (primarily Objective-C). Develop and launch stable mobile features, collaborate with Design, perform code reviews, and leverage AI tools responsibly to accelerate development while ensuring performance, security, and production quality.

The Software Engineer will develop and manage data platforms for CoreWeave, focusing on performance, security, and scalability while facilitating data access and compliance with regulations.

Design, develop, and support reusable components, interactions, frameworks and SDKs for Spectacles AR glasses and SnapOS. Contribute to OS components, participate in code and design reviews, and collaborate with design, engineering, and product teams to launch performant, test-covered features.

Design and implement scalable backend systems for search and conversational AI. Build and productionize services leveraging LLMs, embeddings, and vector search. Lead architecture, mentor engineers, drive cross-team initiatives, and improve developer productivity and operational excellence.

Design, implement, and operate scalable ads delivery backend services. Own serving-time systems, collaborate with Product/ML/Infra, ensure availability and efficiency, use observability and automation, and apply AI-assisted workflows to ship production-quality code and optimize platform architecture.

Join the Inference team to implement features and improvements for model serving on a GPU platform, focusing on performance and reliability.

The Software Engineer II will design and implement features for the Developer Experience platform, focusing on CI tools, test systems, and integrations. Responsibilities include end-to-end ownership of projects, code reviews, and onboarding new team members.

Design, build, and optimize scalable ML infrastructure for training, evaluation, and high-performance inference. Develop feature generation/serving pipelines, data management and labeling systems, and collaborate with ML engineers to deploy production models while ensuring reliability, scalability, and production-quality code.

Design, build, and operate secure sandboxed runtime environments for Kubernetes and GPU-accelerated workloads. Develop GPU-aware scheduling, isolation, and resource management strategies; optimize container, VM, I/O, and GPU performance; conduct profiling and benchmarking; and contribute to Linux, container runtime, virtualization, and GPU driver architecture. Collaborate with security, platform, and infrastructure teams to establish runtime isolation and performance standards for multi-tenant systems.

The Senior Software Engineer will design and support Kubernetes infrastructure, develop applications in Go, and enhance platform reliability, performance, and observability in CoreWeave's AI-focused environment.

Build and operate Go-based backend services and APIs to manage hardware lifecycle (RMA, data center operations, node repairs). Design scalable, reliable microservices, integrate vendor APIs, manage databases for operational and reporting use cases, and deploy/operate services on container platforms.

Software engineering interns contribute to real Salesforce product, platform, and AI-powered projects under experienced mentorship. Responsibilities include applying computer science fundamentals, object-oriented programming, algorithms, and data structures to practical solutions; experimenting with AI-assisted development tools; collaborating with engineering teams; and learning through technical training, workshops, and professional development opportunities.

The Software Engineer will manage data collection, enhance cloud infrastructure for ingestion, and collaborate with scientists on AI data projects to support model training operations.

The Senior iOS Engineer will lead engineering decisions, participate in product development, ship production code, and enhance the iOS app architecture.

The Software Engineer will design, develop, and maintain backend APIs, oversee the API landscape, and collaborate with teams for product strategy alignment.

The role involves data collection for model training, building datasets on GCP, and collaborating with AI scientists to enhance data processing workflows.

Design and deliver scalable, cloud-native Automation and MuleSoft services. Translate product requirements into engineering plans, build and tune robust APIs in multi-tenant environments, collaborate across teams, and apply distributed systems and Agile practices.

Design, develop, test, deploy, and maintain scalable software solutions. Collaborate with product, project, business, and UX teams; troubleshoot production issues through root cause analysis; lead projects; implement automation and telemetry; and mentor engineering teams. The role emphasizes data engineering, APIs, CI/CD, system performance, security, scalability, and applying AI to improve workloads.

Leads delivery of software features and models; designs, develops, tests, and maintains scalable systems across multiple languages and frameworks. Integrates AI/ML and generative AI capabilities, participates in design reviews, translates stakeholder needs into technical requirements, monitors performance, debugs applications, supports CI/CD, and mentors engineers. The role emphasizes secure, maintainable software, operational excellence, collaboration, and continuous improvement.

Leads development of scalable, secure software across the full lifecycle, including feature delivery, testing, code reviews, CI/CD, performance monitoring, defect resolution, and ongoing support. Integrates AI/ML and generative AI capabilities, translates business needs into technical solutions, collaborates with cross-functional stakeholders, mentors peers, and drives engineering quality and continuous improvement.

Lead delivery of scalable, secure software features, services, APIs, and UI through the full software development lifecycle. Responsibilities include coding, debugging, testing, CI/CD automation, AI/ML integration, solution design, code reviews, performance monitoring, incident resolution, and stakeholder collaboration. The role also requires mentoring peers, evaluating technical trade-offs, and driving continuous improvement across customer engagement technology platforms.

Lead design and development of scalable, secure software components; translate requirements into technical solutions; write, test, and maintain code; troubleshoot production issues and perform root cause analysis; monitor performance and implement improvements; mentor junior engineers and support cross-functional project delivery.

Leads scalable platform development across the full software lifecycle, including design, coding, testing, deployment, monitoring, and maintenance. Drives infrastructure, tooling, cloud-native architecture, and ML framework initiatives; builds AI-driven applications; conducts system design reviews; mentors engineers; influences technical decisions; and collaborates with cross-functional stakeholders using data-driven success metrics.