Top Tech Jobs & Startup Jobs in Seattle, WA

Provides Tier 1 technical and procedural support through phone, email, and chat. Diagnoses hardware and software issues, researches solutions, documents interactions and resolutions, routes requests, escalates urgent or complex problems, and stays current on system updates. The role also assists senior IT staff and requires strong communication, problem-solving, attention to detail, Windows 11 and Microsoft 365 knowledge, and reliable high-speed internet for remote work.

Design, develop, and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservices environment. Build AI-powered applications with LLMs, RAG pipelines, GenAI agents, vector databases, and AI services. Optimize performance, implement responsive user interfaces, troubleshoot systems, participate in code reviews, and collaborate with AI/ML engineers and cross-functional teams in a remote setting.

Manage and optimize high-volume SQL Server databases across on-premises and Azure environments. Own database reliability, observability, performance tuning, availability, disaster recovery, security, maintenance, automation, incident response, and 24x7 production support. Assist developers with query tuning and schema refinement, configure HA/DR solutions, support releases, document changes, and provide off-hours production coverage.

Build and maintain SQL-based marketing analytics infrastructure, data models, dashboards, and reporting. Analyze marketing channels, affiliates, conversion funnels, cohorts, revenue, profitability, and partner performance. Translate complex findings into actionable recommendations for budget allocation and optimization. Ensure data quality, governance, documentation, and metric consistency while partnering cross-functionally with Marketing, Sales, Finance, Operations, Product, and Technology. The role is a hands-on individual contributor with potential responsibility for mentoring or managing one analyst.

Designs, deploys, and troubleshoots enterprise cloud and hybrid network infrastructure across Azure, OpenShift, corporate offices, and security platforms. Administers FortiGate, FortiSASE, Cisco Meraki, Cloudflare, DNS, load balancing, ingress controllers, and Kubernetes networking. Partners with application, security, and cloud teams on deployments and incident response, creates network documentation, manages monitoring and alerting, and performs changes under established procedures.

Supports compensation programs, job description governance, market pricing, pay equity analysis, compensation reporting, dashboards, annual merit and bonus processes, and employment documentation. Administers Payscale and compensation analytics in AxiomHRS while validating sensitive HR data across systems. Partners with HR, Finance, Payroll, Talent Acquisition, Legal, and business leaders on salary decisions, budgeting, audits, reporting, and process improvements.

Designs, develops, and supports enterprise automation solutions using Microsoft Power Platform, scripting, APIs, cloud services, and secure authentication. The role integrates cloud and on-premises systems, builds reusable workflows, monitors performance, resolves issues, documents solutions, and ensures governance and compliance. The engineer collaborates with infrastructure, security, application development, and business stakeholders to improve operational efficiency and service delivery.

Develop and maintain scalable full-stack web applications using TypeScript, Java, Node.js, HTML, CSS, and MS SQL in a microservice environment. Build AI-powered applications with LLMs, GenAI agents, RAG pipelines, semantic search, vector databases, and LLMOps practices. Collaborate across teams, optimize performance, troubleshoot issues, participate in code reviews, and create responsive user interfaces.

Leads and scales software engineering teams developing marketing technology, customer acquisition platforms, and digital experiences. Responsibilities include hands-on coding, architecture, CRM and marketing automation integrations, lead management, analytics, experimentation, website optimization, vendor management, and engineering team mentorship. Partners with Marketing, Product, Sales, and Analytics to improve lead generation, conversion, scalability, reliability, and speed to market.

Leads the architecture, development, and deployment of enterprise Generative AI and agentic systems for mortgage lending. Builds RAG pipelines, multimodal applications, cloud integrations, and LLMOps capabilities. Mentors engineers, guides technical strategy, evaluates emerging AI technologies, and collaborates with product, data, and UX teams to deliver scalable solutions. Requires strong software engineering or data science experience, expertise in LLM systems, cloud platforms, AI governance, model safety, and prompt engineering.