Top Senior Engineer Jobs in Seattle, WA

Design, build, and maintain security products and infrastructure: real-time detection engines (Flink/Kafka), high-performance APIs (Go/Node.js), streaming analytics, Kubernetes at hyperscale, and petabyte-scale data pipelines. Lead technical designs, collaborate with security teams, and mentor junior engineers.

Design, develop, test, and maintain DigitalOcean's low-level virtualization stack for Droplets. Collaborate across hardware, kernel, observability, and product teams to support scale, security, GPU/AI workloads, and new hardware. Contribute to open source virtualization projects, validate hardware, backport and deploy patches, improve release pipelines, and participate in on-call rotations.

Design, implement, and maintain large-scale datacenter and global backbone networks. Diagnose and resolve complex network issues, automate provisioning and compliance with Python/Go/Salt, perform capacity planning, lead maintenance and migrations, run proofs-of-concept, and produce network documentation, runbooks, and BOMs while mentoring team members and coordinating incident responses.

The role involves designing and building automated compliance pipelines, implementing policy-as-code, and integrating security scanning into CI/CD processes to ensure compliance and secure AI infrastructure.

Design and implement security controls for identity, access management, and endpoint security. Lead initiatives around zero trust and phishing-resistant MFA.

Administer multi-tenant Kubernetes platforms, manage application deployments, troubleshoot incidents, and ensure system reliability while collaborating with development teams.

Perform FEA and hand calculations to evaluate and optimize UAV airframe structures. Conduct static, modal, fatigue, and vibration analyses, support structural test planning and data correlation, define loads and material properties, and produce structural analysis reports while collaborating with cross-functional engineering teams.

Integrate, characterize, calibrate, and validate multi-modal navigation sensors (IMUs, GNSS, cameras, altimeters). Develop test plans, calibration scripts, and data-processing tools; collaborate across electrical, mechanical, and software teams; support schematics, CAD, drivers, and lab-based sensor testing through production.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors (IMUs, GNSS, cameras). Develop and run test plans, calibration scripts, and data-processing tools. Work cross-functionally with EE/ME/SW on electrical interfaces, mounting, thermal/vibration, and software drivers. Debug hardware–firmware–software issues, document trade studies and integration requirements, and support production and occasional travel.

Author, profile, and optimize CUDA GPU kernels for LLM inference to maximize throughput and minimize latency. Build reproducible microbenchmarks and MLPerf workflows, collaborate across product, hardware, and orchestration teams, lead designs and reviews, mentor engineers, and translate kernel wins into end-to-end model-serving performance improvements.

Build and operate a hyper-scale data lake and analytics platform: develop Java microservices and Spark/Scala/Flink pipelines, own a new graph database, design ultra-high-scale data platforms, optimize performance and latency, enable efficient querying for analytics and ML, and collaborate on feature design and stability across teams.

Lead architecture and implementation of reliability improvements across CrowdStrike's cloud-native platform. Build shared libraries and services, drive observability and SLO practices, perform performance and cost optimization, run resilience engineering and chaos experiments, automate infrastructure-as-code, mentor engineers, and embed with product teams to deliver scalable, highly reliable distributed systems at organizational scale.

Design and implement Windows sensor detection and prevention features for the Falcon platform. Research attack techniques, develop user- and kernel-mode detection logic, own features from design through release, apply secure coding and CI/CD practices, troubleshoot customer issues, and collaborate across teams to improve telemetry and protections.

The Senior Engineer collaborates with teams, designs and implements technical features, writes production-ready code, and ensures high-quality deliverables, while also engaging in research and learning on new technologies.

Design, build, and operate globally distributed storage systems; own code from design to release; provision and benchmark storage hardware; model failure domains; build observability, runbooks, and automation; collaborate across teams to ensure reliability, performance, and scalability.

Develop and maintain data-protection features in CrowdStrike Falcon sensor on Windows, working across kernel and user mode. Implement filesystem minifilter drivers, AI-aware detection/protection logic, debug kernel issues, own features end-to-end, and collaborate with cross-functional teams to ship and support endpoint data security capabilities.

Design and implement foundational layers of next-generation distributed storage and streaming systems. Own code end-to-end, architect consistency models, optimize storage engine performance, design data-centric APIs, and debug complex race conditions, partitions, and infrastructure-level failures. Work across system layers using Rust/C++ and interact with JavaScript/TypeScript as needed.

The Senior Application Security Engineer oversees application security, works on AI threat modeling, and collaborates with engineers to enhance security infrastructure and compliance with regulations.

Design, build, and optimize internal developer platforms, CI/CD pipelines, and AI-driven tooling to improve engineering velocity, reliability, and code quality. Implement monitoring, incident response, and on-call practices; collaborate with domain teams to identify productivity bottlenecks, deliver scalable solutions, and enforce testing and quality standards.

Design, build, and operate autonomous infrastructure AI agents on Airwallex's Quartermaster platform to automate SRE, DevOps, and DBA workflows. Integrate agents with Kubernetes, Terraform, cloud APIs, monitoring, databases, and CI/CD. Define agent architecture, safety guardrails, evaluation metrics, and collaborate with SRE and platform teams to deploy reliable, auditable autonomous systems in production.

Design and implement mission-critical autonomous systems integrating heterogeneous sensors and effectors. Develop real-time state estimation, threat detection, and AI-driven decision systems. Build reliable, scalable integrations with sensors, effectors, and autonomous platforms, and collaborate with robotics, hardware, and systems teams to deliver fail-safe defense solutions.

Develop and lead front-end web applications and APIs for Chewy's Discovery experience. Collaborate with product, design, data science, and infrastructure teams to optimize search, recommendations, performance, scalability, and 24x7 service reliability. Drive architecture, testing, deployment best practices, and technical leadership across the organization.

The Senior Data Center Engineer II is responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and software issues, managing documentation, and mentoring junior engineers.

Lead and validate large-scale data center deployments including rack builds, cabling validation, hardware and GPU rollouts, vendor coordination, troubleshooting across hardware, cabling, Linux, networking and optics, training site teams, maintaining runbooks and tooling, and supporting extended onsite domestic and international deployment schedules.