Top Tech Jobs & Startup Jobs in Seattle, WA

Leads infrastructure platform engineering within an agile team, delivering secure, scalable production software. Provides technical direction, reviews code, drives software development lifecycle governance, and promotes responsible AI-assisted engineering practices. Designs and troubleshoots systems independently while serving as a technical subject matter expert. The role emphasizes cloud-native infrastructure, automation, operational stability, and collaboration with technical teams, contractors, and vendors.

Leads the design, development, and delivery of software-defined networking, network automation, and infrastructure management solutions across multi-cloud environments. Builds APIs, automation frameworks, infrastructure-as-code, and CI/CD pipelines while ensuring reliability, security, scalability, and operational stability. Drives responsible AI-assisted engineering practices, collaborates with cross-functional teams, troubleshoots distributed network systems, evaluates emerging technologies, and mentors engineers.

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.

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.

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.

Lead software engineering for JPMorgan Chase’s API Marketplace within an agile team. Responsibilities include designing and delivering secure production code, reviewing and debugging applications, guiding technical teams and partners, influencing technology decisions, mentoring developers, contributing to SDLC frameworks, and building cloud-native distributed applications using modern development, testing, and deployment practices.

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.

Design and develop secure, resilient full-stack systems and microservices using Java or Python and AWS. Build digital asset custody components, blockchain integrations, APIs, and cloud applications across the software development lifecycle. Create architecture artifacts, troubleshoot production issues, analyze data, and improve reliability. Lead responsible adoption of AI-assisted engineering tools for coding, testing, reviews, refactoring, and incident analysis while coaching teams on secure, compliant practices.

Lead AI/ML security architecture and engineering initiatives, clarify security requirements across multiple networks, assess and triage threats, manage disruptive-event response resources, and recommend risk-based business modifications. Build enterprise security solutions through hands-on coding, threat modeling, vulnerability assessment, penetration testing, cloud-native development, and security integration into CI/CD workflows.

Designs scalable software frameworks and production systems for high-performance computing, optimizing AI/ML model training and inference across compute architectures. Leads technical design reviews, benchmarking, telemetry, secure coding, and operational improvements. Develops enterprise agentic AI engineering workflows with governance, validation, auditability, security, and resiliency guardrails. Mentors engineers and drives adoption of HPC, AI/ML, and automation practices across teams.