Software Engineer Jobs in Bellevue, WA

Design and build AI-first developer platforms and tooling to boost engineer productivity. Improve reliability via observability, alerting, SLOs, and automated remediation. Drive enterprise-grade build systems, CI pipelines, testing/validation, and shared frontend infrastructure. Collaborate across product, architecture, and engineering teams and mentor junior engineers to deliver scalable, maintainable user-experience features.

Design and build Snowflake’s multi-cloud capacity platform for CPU and GPU resources across AWS, Azure, and GCP. Own canonical capacity data, demand forecasting, procurement, reservations, allocation, utilization, supply-risk visibility, and cost optimization systems. Collaborate with cloud providers and core services, AI/ML, warehouse, and finance teams. Ensure high availability, reliability, and performance through production support, troubleshooting, on-call participation, and incident management.

Own the architectural evolution of core infrastructure across service mesh, Kubernetes compute, and Terraform provisioning. Lead multi-region platform strategy, improve reliability and developer autonomy, diagnose issues at source-code and protocol levels, contribute upstream when appropriate, and drive technical alignment across engineering teams through architecture proposals and design reviews.

Lead and build high-throughput microservices and distributed systems, define multi-quarter technical roadmaps, ship data-driven features, mentor engineers, drive experimentation and A/B testing, ensure reliability/observability, partner with product and design, and champion AI tooling adoption across the team.

The Backend Infrastructure Engineer at Sesame will develop secure, scalable infrastructure, focusing on voice interface, automation, and systems design for efficient service delivery.

Design and build core infrastructure for ML training, develop audio processing pipelines, and set technical direction for the team.

As a Staff Software Engineer on the Storage Platform team, you will design distributed storage systems, improve database reliability and performance, build automation for database management, and ensure high availability for user-facing products.

Design, build, and operate distributed data streaming platforms and real-time event processing systems. Scale and secure pipelines using technologies like Kafka, Flink, and Debezium, collaborate with product, data, and ML teams, and improve developer experience through tools and documentation. Mentor engineers and drive architectural decisions for long-term platform reliability.

Design, implement, and operate core distributed storage infrastructure for Postgres, NoSQL, and caching at scale. Lead sharding, query routing, proxy services, connection pooling, multi-region failover, observability, and control-plane automation to improve availability, performance, and cost efficiency.

The Staff Software Engineer will lead performance improvements for the incremental view maintenance engine, define roadmaps, mentor engineers, and contribute to technical publications.

As a Sr. Staff Software Engineer on the Money team, you'll manage billing processes, develop pricing strategies, enhance infrastructure, lead cross-functional projects, and use AI for cost optimization.

As a Senior Software Engineer focused on backend, you'll develop the Databricks platform, enhance infrastructure, and address performance, security, and reliability challenges.

Develop next-gen distributed data storage and processing systems, enhance query performance, and support diverse workloads from ETL to data science.

As a Staff Software Engineer at Databricks, you will develop distributed data storage and processing systems, focusing on projects like Apache Spark, Delta Lake, and performance optimization for diverse data workloads.

Design, build, and operate Python-based agentic automation and playbooks for GovCloud CSIRT workflows. Integrate LLM-backed agents, third-party APIs, and secure, auditable automation. Own end-to-end delivery including testing, CI/CD, observability, on-call support, and mentor peers while using AI-assisted development tools and maintaining compliance with government/security constraints.

Designs, builds, and operates Kubernetes, GPU, networking, cloud, and ML infrastructure for distributed training, simulations, and policy evaluation. Develops CI/CD, infrastructure-as-code, observability, internal APIs, developer tooling, and MLOps workflows. Improves reliability, cost efficiency, performance, security, governance, reproducibility, and operational maturity while managing incidents, mentoring engineers, and influencing technical direction.

Design, develop, and maintain secure, scalable full-stack web applications across backend, APIs, and frontend. Collaborate with product and design, perform code reviews, mentor engineers, troubleshoot complex issues, and drive continuous improvement and AI-enabled solutions throughout the SDLC.

Design, develop, and operate highly scalable distributed cloud control plane systems. Identify and resolve performance/scalability bottlenecks, deliver end-to-end projects, improve observability, ensure production readiness, and mentor junior engineers.

Designs and maintains scalable backend data pipelines using distributed processing frameworks such as Apache Spark. Builds RESTful APIs, data integrations, model-serving pipelines, monitoring and observability systems, and optimized storage solutions across relational, NoSQL, and cloud data platforms. Partners with data scientists, machine learning engineers, and stakeholders on architecture and production infrastructure. Requires five years of relevant experience, including substantial experience with software development, cloud platforms, distributed systems, data pipelines, APIs, databases, and performance optimization.

Design and implement automated UI (Selenium) and REST API tests in Python; integrate tests into Jenkins CI/CD; build test tools, dashboards, and notifications; maintain test infrastructure (Docker, Linux); analyze requirements to create automation suites; collaborate with developers to improve testability and mentor junior engineers.

As a Staff Software Engineer at Riot Games, you'll enhance developer experience and efficiency across VALORANT by designing tools, mentoring junior engineers, and influencing best practices in a collaborative environment.

As a Principal Engineer at Snowflake, you will design and support scalable distributed systems for metadata, mentor junior engineers, and solve performance challenges.

Design and build backend services and secure data pipelines to protect customer data. Implement token issuance, authentication, anonymization, data retention/deletion (CCPA/GDPR), and monitoring/auditing. Collaborate with access management, infrastructure, and data teams to enforce least-privilege controls and enable secure AI-driven product capabilities.

As a Senior Software Engineer, you'll manage billing systems for Databricks products, enhance infrastructure efficiency, and innovate pricing strategies using AI and big data.

This role involves enhancing security measures, leading engineering efforts in data security, and collaborating across teams to safeguard customer data.