Top Tech Jobs & Startup Jobs in Seattle, WA

Administer Jira, Jira Service Management, Confluence, Loom, and Workato support platforms. Manage provisioning, permissions, workflows, custom fields, SLAs, automation, request queues, and access reviews. Monitor and troubleshoot Workato recipes, support citizen developers, automate repetitive administration, document configurations, and report on platform health. Complete moderately complex improvements independently while enforcing RBAC, least privilege, data privacy, and auditable processes.

Administer enterprise AI and search platforms, including Glean, Rovo, Claude, Gemini, and AWS Bedrock. Manage users, permissions, connectors, licensing, RBAC, agents, and workspace settings while enforcing least-privilege access and data-handling standards. Troubleshoot configuration and access issues, document AI deployments, monitor usage and data exposure, support business teams, report platform health, and coordinate complex builds with Security, IT Engineering, and senior technical staff.

Build and operate the backend platform for autonomous cybersecurity agents, including durable workflow execution, tool and connector frameworks, safe-change pipelines, tenant isolation, ETL, GraphQL services, observability, audit trails, and distributed systems. Partner with AI researchers and security engineers to productionize agent capabilities across customer environments while enforcing authorization, rollback, quotas, and data protection.

Supports corporate FP&A activities including financial reporting, forecasting, budgeting, variance analysis, consolidated financial modeling, management reporting, KPI development, and scenario planning. Partners with Accounting and cross-functional leaders to interpret results, improve planning processes, and support the rollout of Pigment. The role requires strong Excel modeling, analytical, communication, and process-improvement skills in a high-growth technology environment.

Lead the technical direction and production development of defensive agents for an autonomous cybersecurity platform. Design durable agent execution, authorization and multi-tenant isolation, third-party security-control connectors, distributed workflows, and explainable observability. Translate product goals into roadmaps, partner with AI researchers and Product, review designs and code, mentor engineers, and maintain production services. The role requires deep experience with agentic or LLM-backed systems, cloud platforms, distributed systems, SQL, security controls, and operational ownership.

Lead research and development of autonomous internal network and Active Directory attack capabilities for the NodeZero platform. Build production-grade Python systems, exploit vulnerabilities and misconfigurations, extend graph-based attack models, validate complex attack scenarios, and maintain safe, scalable offensive tooling. Mentor engineers, conduct code reviews, shape coverage priorities, document technical decisions, and collaborate with product, engineering, and customer-facing teams.

Build autonomous AI agents that translate proven attack paths into targeted security-control changes, safely apply or stage those changes, and verify remediation by rerunning attacks. Responsibilities include ML reasoning systems, evaluation and training data pipelines, counterfactual experiments, heterogeneous control-plane integrations, safety architecture, staged rollouts, rollback, auditability, and diagnosing agent failure modes. The role requires production ML engineering, agentic systems or LLM post-training, outcome-based evaluation, Python software engineering, distributed systems, and cloud infrastructure experience.

Owns business application engineering solutions from discovery through production support. Responsibilities include building Workato integrations, AWS middleware, Jira and Confluence workflows, secure automations, API and event-driven integrations, monitoring, documentation, and governance. The role also serves as a technical escalation point, mentors administrators, partners with business and AI teams, and applies least-privilege access and auditable data practices.

Build and scale a browser automation and crawling engine for autonomous web application penetration testing. Develop reliable Playwright and Stagehand workflows across complex JavaScript applications, authentication flows, WebSockets, file uploads, and anti-bot defenses. Improve crawl coverage, determinism, throughput, endpoint discovery, queueing, and state management across distributed browser sessions. Collaborate with offensive security engineers and contribute to graph-backed application mapping while balancing deterministic automation with selective LLM use.

Lead AI and LLM offensive security engineering by breaking agentic systems, researching prompt injection, tool-use exploitation, model and supply-chain attacks, and automating repeatable attack modules for NodeZero. Build production-grade LLM applications and microservices with safety, reliability, cost, and observability considerations. Drive threat modeling, exploit development, and technical strategy for AI security capabilities.