Senior Technical Project Manager

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.