Top Tech Jobs & Startup Jobs in Seattle, WA

Own budgeting, forecasting, invoicing, financial reporting, project costing, and margin analysis. Lead finance transformation by consolidating systems, designing controls and procedures, and building scalable reporting frameworks. Manage financial relationships for assigned clients, support project engagements, and partner with operations and senior leadership on business decisions and growth initiatives.

Leads the enterprise federal compliance program for data center operations and government engagements. Oversees regulatory and contractual compliance, cybersecurity and physical security requirements, federal capture assessments, proposal reviews, go/no-go decisions, audits, risk management, corrective actions, and customer engagements. Advises executives, coordinates cross-functional teams, and builds organizational capabilities supporting FAR, DFARS, CMMC, NIST, CUI, and other federal requirements.

Leads technical support for federal business development, capture, and proposal efforts. Develops compliant architectures spanning data centers, cloud, cybersecurity, AI/HPC, edge computing, and classified hosting. Reviews solicitations, creates technical narratives and graphics, supports pricing, customer briefings, demonstrations, and bid decisions. Advises leadership on federal technology trends, compliance frameworks, and competitive positioning while engaging DoD, Intelligence Community, and civilian agency stakeholders.

DoD SkillBridge application for opportunities with Iconicx, primarily supporting data center operations. Potential placements include local or travel-based Quality Engineer and Commissioning Engineer roles, depending on the applicant’s location and assignment. Applicants must complete all application fields and follow the provided instructions for processing.

Coordinates account-level finance, billing, operations, vendor, compliance, and administrative workflows. Prepares financial and executive reporting, supports forecasting, invoicing, collections, reconciliations, timekeeping, contract changes, vendor documentation, and process improvements. Acts as the primary connection between Finance, Operations, and client teams while maintaining data integrity across business systems, improving revenue assurance, controlling costs, resolving issues, and supporting profitable client delivery.

Leads global HR operations, shared services, HRIS optimization, data governance, employee lifecycle processes, compliance, payroll coordination, and process transformation across multiple countries. Manages HR support channels, audits, reporting, system integrations, and M&A readiness while developing shared services staff and partnering with HR, Finance, IT, Legal, and business leaders.

Leads electrical engineering and design coordination for data center and mission-critical infrastructure projects, including new construction, retrofits, expansions, and system upgrades. Reviews electrical designs, calculations, studies, equipment submittals, and technical documentation; coordinates multidisciplinary teams; supports permitting, construction, commissioning, and closeout; manages quality, budgets, schedules, and client relationships; and mentors engineering staff.

Supports project managers with project schedules, commissioning plans, documentation, meeting minutes, punch-list management, reporting templates, budgets, profitability monitoring, and invoicing. Coordinates communication among project teams, clients, engineers, general contractors, and other stakeholders. The role requires familiarity with mechanical and electrical building systems, strong organization and communication skills, extensive travel to data center worksites, and the ability to perform physically demanding site activities.

Designs and operates production multi-agent AI systems, LLM workflows, scoring and optimization algorithms, and closed-loop autonomous processes. Responsibilities include AI model evaluation, production monitoring, governance, third-party AI integration, federated data retrieval, and identifying patentable inventions. The role requires deep machine learning expertise, algorithm development, and deployment experience across complex operational environments.

Design and deliver full-stack applications spanning user interfaces, data models, APIs, backend services, cloud infrastructure, and AI-enabled workflows. Build vector-store and RAG capabilities, deploy Azure services with Terraform and containers, and contribute to architecture, technical roadmaps, code reviews, testing, and system operations. Collaborate directly with business stakeholders to understand needs and deliver scalable, secure, enterprise-grade software. The role also involves identifying patentable innovations, preparing disclosures, and supporting patent prosecution.