Senior Technical Project Manager (GL US)

We are looking for a Senior Technical Project Manager combining the hands-on technical depth of a Technical Lead with strong project and program management skills. This onsite role in the United States, preferably Bellevue, Washington, is the primary technical and operational point of contact between cloud-platform management and engineering stakeholders and an offshore team of one Technical Lead and five DevOps / Software Development Engineers. The focus is translating architectural direction and evolving requirements into delivered GCP, GKE, and AI/ML infrastructure solutions.

Requirements:

• Strong hands-on Google Cloud Platform (GCP) and Kubernetes / Google Kubernetes Engine (GKE) expertise;
• Experience with Docker, Helm, Terraform, Infrastructure as Code, and CI/CD pipelines;
• Practical experience deploying, orchestrating, and scaling AI/ML workloads on Kubernetes, including GPU-based workloads;
• Strong understanding of cloud-native architecture, distributed systems, and microservices;
• Proven ability to work directly with enterprise stakeholders and technical management;
• Ability to independently define and prioritize technical scope, delivery plans, and dependencies for distributed engineering teams;
• Excellent English communication and the ability to lead technical discussions as a peer to engineering leads.

Responsibilities:

• Serve as the primary technical and operational contact between onsite management and engineering stakeholders and the offshore team;
• Translate requirements and architectural direction into actionable engineering tasks and delivery plans;
• Prioritize offshore team delivery and align dependencies with client stakeholders;
• Track milestones, dependencies, and risks, and proactively resolve blockers;
• Partner with technical leads to evaluate solutions and challenge technical assumptions;
• Own delivery outcomes and communicate progress, risks, and decisions to stakeholders.

Nice to Have:

• Familiarity with LLM workloads, model serving, and AI inference infrastructure;
• Familiarity with LLM serving frameworks and related open-source tooling.

Working Conditions:

• Work model: Onsite;
• Overlap: Full alignment with US business hours and availability for regular collaboration with client management and offshore development teams;
• Target start date: January 1, 2027;
• Budget: $55-$60 per hour.

Benefits:

• Vacation and sick leave;
• Official state holidays;
• Professional growth through challenging projects and company-supported skills development;
• Flexible working schedule: 8 hours per day, 40 hours per week;
• Personal Career Development Plan;
• Employee support program: Discount, Care, Heals, and Legal support;
• Paid external training, conferences, and professional certifications aligned with business goals;
• Internal workshops and seminars.

Locations: United States.