Top Tech Jobs & Startup Jobs in Seattle, WA

The Machine Learning Engineer will implement and evaluate ML algorithms, focusing on model development, A/B testing, and cross-functional collaboration to drive innovative solutions for financial challenges.

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.

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, 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.

Design, build, and maintain enterprise security tooling and AI safety guardrails. Secure identity systems, endpoints, and telemetry; automate GRC evidence gathering; support vulnerability management; defend against advanced threats and collaborate cross-functionally to maintain enterprise security posture.

Lead and execute incident response, build and tune global detection pipelines for cloud and Kubernetes, architect AI-native Autonomic Security Operations, analyze multi-language code for vulnerabilities, mentor engineers, and participate in on-call rotations.

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.

Lead and execute red team exercises and penetration tests across applications, infrastructure, and physical environments. Mentor teammates, develop automation tools, partner with detection/response teams, prioritize and drive remediation, and conduct adversarial simulations to improve detection and incident readiness.

Design, build, and operate scalable cloud networking and service mesh infrastructure on AWS/EKS. Lead traffic management, service discovery, Istio/Envoy deployments, API/versioning standards, IaC with Terraform, and developer tooling in Python/Go while partnering with security and application teams and mentoring engineers.

Design, build, and operate a scalable, highly available Kubernetes-powered container platform. Lead migration of core workloads to Amazon EKS, optimize container lifecycle management and networking, implement multi-region cluster provisioning and integrations (service mesh, auth, load balancing), and troubleshoot production performance to improve platform reliability and uptime.