Top Tech Jobs & Startup Jobs in Portland, OR

Senior software engineering individual contributor responsible for owning systems or feature areas, making customer- and business-focused technical decisions, improving an agentic AI development framework, managing automated quality and defect reduction, leading design discussions, mentoring engineers, and driving cross-pod technical initiatives. The role requires hands-on software engineering leadership without direct people management, with emphasis on AI-assisted development, testing, safety, and organizational technical strategy.

Secure AI/ML models, data pipelines, and AI-enabled applications by conducting vulnerability assessments, threat modeling, incident response, and security reviews. Build guardrails, monitoring, detection, access controls, encryption, and data-segmentation measures. Partner with engineering and analytics teams throughout the AI development lifecycle, assess third-party AI tools, document remediation plans, and translate emerging threats such as prompt injection, data poisoning, jailbreaks, and model-supply-chain risks into practical mitigations.

Develop and maintain PHP-based WordPress hosting platforms and products. Own features end to end, diagnose performance across application and infrastructure layers, write automated tests, modernize systems, improve deployment tooling, participate in code reviews, mentor engineers, and document decisions. The role requires deep WordPress and PHP expertise, Linux and hosting-stack knowledge, shell scripting, database and caching performance skills, and the ability to work autonomously on a globally distributed remote team.

Lead technical direction across Nexcess’s WordPress hosting platform and product ecosystem. Design target architectures, migrations, automation, and scalable systems while preserving backward compatibility, reliability, performance, and cost efficiency. Work deeply across PHP, WordPress, Linux, hosting infrastructure, databases, caching, and operational tooling. Mentor senior engineers, drive cross-team outcomes, write architecture documents, and serve as an escalation point for complex technical issues.

Lead Nexcess’s product engineering organization, owning architecture, delivery, roadmap, team structure, engineering-manager development, hiring, and production accountability. Improve delivery speed and reliability using DORA metrics, AI-assisted engineering, automated testing, observability, trunk-based development, feature flags, and incident management. Guide modernization of legacy Perl and PHP systems, billing and payment platforms, hosting products, and infrastructure migrations while partnering closely with Product and senior stakeholders.

Leads client engagement and translates construction project controls needs into analytics solution requirements. Conducts meetings, demonstrations, training, and presentations; interprets schedules, costs, risks, and performance metrics; documents requirements and tracks follow-through. Collaborates with analytics teams on prototypes, workflows, onboarding, testing, and implementation while identifying reporting improvements and opportunities to expand client services. Requires strong construction project controls knowledge, communication, business analysis, generative AI experience, and independent remote work capability.

Build ngrok’s foundational security engineering program, including security tooling, CI/CD guardrails, secrets scanning, vulnerability tracking, cloud security, risk assessments, AI security policies, detection capabilities, and incident response. Partner with engineering and leadership to establish security controls, automation, metrics, and reusable internal security platforms.

Own product and application security for a multi-tenant insurance platform. Responsibilities include secure SDLC, security-focused code review, application security, tenant isolation, cloud security posture, supply-chain controls, penetration testing, threat modeling, vulnerability management, incident response, and SOC 2 compliance readiness.

Leads product strategy, roadmap, pricing, security product direction, AI governance, integrations, regulatory capabilities, customer discovery, launches, and product team development. Partners with Engineering, Research, Sales, Marketing, Finance, and executives to improve retention, expansion, win rate, margin, and enterprise adoption. Owns detection quality, deployment models, secure-by-design requirements, compliance certifications, competitive positioning, and board-level product communications.

Monitor and coordinate live marketplace operations, ensuring staffing shifts run smoothly and workers receive timely support. Manage worker communications, attendance, clock-in and clock-out accuracy, issue resolution, and customer expectations. Identify process and tooling improvements, support worker vetting and forward-filling, create standard operating procedures, and help workers use the company app. The role requires flexible rotating shifts, including mornings, evenings, weekdays, and weekends.

Build and operate highly scalable backend systems and Core APIs for real-time fraud detection. Responsibilities include API development, distributed systems scaling, SLI/SLO ownership, observability, incident response, capacity planning, load testing, performance optimization, automation, and reliability improvements. The role participates in on-call rotations, leads blameless postmortems, collaborates cross-functionally, and mentors engineers.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Build Kubernetes operators, isolated per-user runtimes, identity and credential systems, service-mesh security, Terraform infrastructure, CI/CD, observability, audit pipelines, fleet operations, and human approval guardrails. Partner on safe agent integrations, establish platform and security standards, mentor engineers, and guide infrastructure strategy as the system scales.

Lead the architecture, security, and operation of Maestro’s multi-tenant AI platform on private GKE. Responsibilities include Kubernetes runtime isolation, identity and credential security, service mesh trust, Terraform infrastructure, fleet scaling, CI/CD, observability, auditability, human approval workflows, and governed agent integrations. The role also sets technical direction, mentors engineers, and partners across Product, Security, and Leadership to deliver secure, reliable distributed systems at scale.