Top Tech Jobs & Startup Jobs in Seattle, WA

Build and operate reliable, scalable cloud applications through automation, infrastructure as code, CI/CD, monitoring, incident response, capacity planning, and SLO management. Collaborate with software engineers on resilient system design, support development environments, improve operational processes, and participate in 24x7 on-call rotation. The role requires expertise with AWS, Kubernetes, Terraform, Docker, networking, and observability, along with mentoring and leadership in SRE practices.

Designs, tests, monitors, and improves security and compliance controls across SOC 2, PCI DSS, ISO 27001, HIPAA, and related frameworks. Coordinates internal and external audits, evidence collection, POA&M remediation, control dashboards, security questionnaires, and client due diligence. Partners with technical and business teams to strengthen SaaS security practices and supports AI/ML assurance activities, including model risk and data lineage testing.

Build and automate security infrastructure across AWS and Kubernetes, including cryptographic material lifecycle, telemetry pipelines, policy-as-code, compliance monitoring, and incident-response tooling. Develop agentic AI workflows using coding assistants, MCP integrations, and custom harnesses. Apply threat modeling and secure architecture review while partnering with engineering, risk, auditors, vendors, and clients. The role emphasizes production software, cloud-native automation, continuous control monitoring, and eliminating manual security toil.

Build and operate a reliable security platform across hundreds of AWS environments. Responsibilities include security telemetry and OpenSearch infrastructure, GitOps deployments, Kubernetes and AWS security controls, cross-account and multi-region architecture, Python automation, and agentic AI workflows. The role participates in on-call support, security incident enablement, audit evidence automation, and reliability improvements while collaborating with Security Operations, Risk, and SRE teams.

Own the enterprise AI technical strategy, including model, vendor, platform, architecture, cost, security, and reliability evaluations. Establish AI standards, reference architectures, governance processes, and usage and spend visibility. Advise executives and engineering teams, assess AI risks, and partner with Risk, Compliance, and Legal. Prototype and validate LLM, API, agent, and RAG capabilities through working code, scaling productive experiments into reliable organizational capabilities.

Build and operate automated security infrastructure across AWS and Kubernetes, including cryptographic-material lifecycles, security telemetry, compliance automation, policy-as-code, threat modeling, and CI/CD security controls. Develop agentic AI workflows using tools such as Claude Code and MCP integrations. Support incident response, review security architecture, automate evidence collection, and partner with engineering, audit, risk, vendors, and clients to improve security posture at scale.

Leads full-cycle technical implementations of a cloud-based digital banking platform, translating client requirements into configurations, custom SDK/API solutions, integrations, data conversions, testing, and production launches. Manages client environments, troubleshoots technical issues, supports post-launch operations, and coordinates with Product, Engineering, Services, and Support teams. The role also improves implementation processes, documents technical specifications, manages risks, supports performance testing, and mentors junior team members.

Design, build, and deploy AI-powered features for a digital banking platform, including natural language interfaces, assistants, and automated workflows. Integrate LLMs and AI APIs using prompt engineering, tool calling, validation, and safety guardrails. Evaluate AI outputs for accuracy, reliability, and regulatory compliance; collaborate cross-functionally; document best practices; conduct code reviews; and assess emerging AI tools and frameworks.

Leads strategic value consulting for enterprise digital banking sales. Partners with sales teams and financial institutions to uncover objectives, quantify business impact, and develop ROI, TCO, payback, NPV, and IRR models. Translates analysis into executive-level business cases, presentations, and value narratives while supporting complex deal strategy. Collaborates with Product, Marketing, Solutions Architecture, and Client Services to improve value frameworks, influence product strategy, and accelerate high-value deal wins.

Build and operate reliable security infrastructure across hundreds of AWS environments. Responsibilities include security telemetry and log analytics, OpenSearch, GitOps deployments, Kubernetes and EKS security, cross-account cloud infrastructure, Python automation, AI-assisted engineering workflows, compliance evidence collection, incident support, and on-call operations. The role partners with Security Operations, Risk, and SRE teams to automate manual processes and improve platform resilience.