Top Tech Jobs & Startup Jobs in Seattle, WA

Architect and build reliable, scalable AI platform services supporting model training and inference across hybrid-cloud environments. Develop reusable APIs, SDKs, tooling, and reference architectures; establish observability, resilience, security, automation, and cost-optimization standards. Partner with engineering and product teams to deliver platform capabilities, meet reliability targets, resolve production incidents, and drive remediation. Mentor engineers and promote responsible, secure use of AI-assisted development tools.

Leads development of secure, scalable cloud platforms optimized for AI and machine learning workloads. Designs and operates Kubernetes and containerized infrastructure, builds CI/CD and infrastructure-as-code automation, and optimizes cloud performance and costs. Partners with AI teams to translate compute needs into platform requirements, promotes observability and operational stability, and guides adoption of secure, responsible AI-assisted software development practices across engineering teams.

Designs, develops, and troubleshoots secure, scalable ML systems and services. Builds production software in Python using ML frameworks, cloud-native technologies, distributed systems, microservices, and NoSQL databases. Creates architecture artifacts, analyzes large datasets, improves system reliability and performance, and uses AI-assisted development tools responsibly. Preferred experience includes GPU workloads in Kubernetes, model-serving frameworks, distributed inference, model compression, and edge deployment.

Leads software engineering and site reliability efforts, delivering secure, scalable production systems. Responsibilities include system design, coding, testing, troubleshooting, automation of recurring remediation, operational stability, vendor architecture evaluations, and adoption of AI-assisted engineering practices with strong validation, security, and responsible-use standards.

Manages and expands strategic payments relationships with eCommerce, marketplace, gig economy, technology, and other platform clients. Develops pipeline, sells tailored payments solutions, grows revenue and deposits, expands wallet share, and maintains portfolio profitability. Builds senior client relationships, prepares proposals and presentations, coordinates cross-functional delivery, develops account strategies, analyzes competitive positioning, and coaches sales associates and client managers while supporting global opportunities.

Leads development of secure, scalable cloud infrastructure for AI and machine learning workloads. Designs and operates Kubernetes-based inference platforms, builds CI/CD and infrastructure-as-code automation, optimizes cloud performance and costs, and partners with AI teams on compute requirements. Establishes responsible AI-assisted engineering practices, governance, validation standards, and reusable SDLC automation. Provides technical guidance, reviews production code, troubleshoots systems, and promotes operational stability across teams.

Generates new treasury management business, expands existing client relationships, and delivers consultative financial solutions. Develops localized market and product strategies, partners with bankers and product teams, leads client business process reviews, and provides thought leadership on working capital solutions. Manages non-credit risk and relationship profitability while meeting sales goals and positioning complex treasury products.

Manage and grow high-net-worth client relationships by providing personalized banking, lending, investment, and financial planning solutions. Responsibilities include acquiring new clients, building referral networks, developing business pipelines, presenting JPMorgan Private Client offerings, sharing market insights, coordinating across business lines, and maintaining strong regulatory and risk controls. The role requires extensive financial services experience, prospecting ability, trusted relationships, and securities licenses or completion of JPMC’s licensing program.

Leads cybersecurity architecture across cloud-based platforms and enterprise systems. Advises teams on technology selection, risk mitigation, secure design patterns, and multi-year roadmaps. Develops reusable cloud coding frameworks and production code, reviews implementations, and drives AI-assisted security validation within software development workflows. Acts as a cybersecurity subject matter expert, communicates with senior leaders, and applies product ownership or management experience to advance strategic security solutions.

Lead the design, development, and operation of an enterprise GenAI serving platform. Build high-throughput LLM inference, gateway, routing, GPU optimization, quantization, distributed serving, and observability capabilities. Establish reliability practices, SLOs, performance benchmarks, cost controls, and secure production standards. Drive adoption of agentic AI-enabled engineering workflows with governance, auditability, and human validation while influencing senior stakeholders and enabling reusable platform components across teams.