Top Tech Jobs & Startup Jobs in Seattle, WA

Lead security incident responses, build and maintain detection engineering frameworks across cloud and Kubernetes environments, and architect AI-driven Autonomic Security Operations capabilities. The role involves analyzing multi-language codebases, identifying vulnerabilities, tuning detection pipelines, developing SOAR playbooks, communicating with executives during high-pressure incidents, and participating in a weekly on-call rotation.

Lead end-to-end product design for AI-powered agentic trading experiences, from early concepts through launch. Collaborate with product managers, engineers, researchers, creative teams, and brokerage leadership to define product direction, create prototypes, simplify complex financial and AI concepts, and establish shared interaction patterns. Use LLMs and AI-assisted tools in the design workflow while ensuring products meet quality, regulatory, usability, and user-trust standards.

Lead architecture and delivery of scalable AI infrastructure, including model serving, feature stores, training systems, and ML observability. Partner with ML, data, and AI teams to improve workflows and reliability. Manage AWS CPU/GPU resources, establish monitoring standards, shape technical strategy, and mentor engineers. The role requires deep expertise in distributed systems, production ML workflows, search systems, vector databases, and modern ML infrastructure tooling.

Support Robinhood’s Offensive Security team by testing AI services, models, pipelines, cloud and Kubernetes environments, macOS systems, and smart contracts. The intern will identify and exploit vulnerabilities, build security infrastructure and tooling, and contribute to the maturity of the company’s offensive security program. The role requires in-person attendance at least three days per week in Bellevue or Menlo Park.

Build a scalable AI security platform, foundational services, APIs, SDKs, and guardrails for AI-powered security agents. Design secure, reliable distributed systems incorporating identity, authentication, authorization, encryption, and data protection. Partner with security and engineering teams to deliver reusable platform capabilities, improve performance and developer experience, and shape the platform’s technical architecture. The role requires hands-on software engineering experience with AI platforms, cloud-native infrastructure, and large-scale systems.

Leads red team operations, penetration testing, threat modeling, and adversarial simulations across applications, infrastructure, corporate, and physical environments. Develops security-testing tools, partners with detection and response teams, communicates and remediates findings, leads related incidents, and mentors offensive security engineers. The role requires advanced knowledge of cloud, containers, defensive evasion, identity security, network protocols, and MITRE ATT&CK, along with Python, Go, and JavaScript proficiency.

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.

Backend software engineering intern responsible for owning a high-impact project from scoping through production launch. Duties include designing, building, testing, releasing, maintaining, and scaling backend services and codebases using Python/Django, Go, PostgreSQL, Kafka, Redis, Memcached, AWS, and Kubernetes. The intern will collaborate cross-functionally, work with a mentor, and develop software meeting financial-platform correctness and scalability requirements.

Set technical strategy and architecture across security engineering domains, build AI security foundations, and lead cross-cutting initiatives from concept through production. The role requires hands-on development and operation of production security systems, deep IAM or cryptography expertise, broad security engineering knowledge, cross-organizational influence, ambiguity management, collaboration, and mentorship.

Design, build, and ship end-to-end personalization, ranking, and recommendation systems; prototype and scale new ML capabilities (including LLM fine-tuning and agentic workflows); partner with product and engineering to define strategy and deploy models to production at scale; lead architecture and code reviews, mentor engineers, and drive technical direction in a regulated fintech environment.