Technical Lead/Manager 8649 G
Summary
Akvelon seeks a Technical Project Manager to lead delivery of GCP, Kubernetes (GKE), and AI/ML infrastructure projects for enterprise clients — translating architecture and business requirements into engineering tasks and coordinating distributed teams. Requires hands-on GCP/GKE, Terraform, and CI/CD expertise; pays $55–60/hour with on-site collaboration during PST hours.
Join Akvelon — build products used by millions!
Akvelon is an IT company with 20+ years of experience and 600+ engineers across 15+ locations worldwide.
We collaborate with well-known global technology companies, including Microsoft, Google, Reddit, and GitHub, as well as growing startups.
Our projects cover a variety of engineering areas, ranging from cloud solutions and AI/ML systems to big data, web, and mobile applications.
Collaboration typically takes place in a remote, distributed environment across different locations and time zones. We value ownership, clear communication, and accountability for agreed deliverables throughout each project.
About the project
We are looking for an experienced Technical Project Manager with strong hands-on expertise in Google Cloud Platform (GCP), Kubernetes (GKE), and AI/ML infrastructure.
The role combines technical leadership with project delivery coordination, translating architectural direction and evolving business requirements into actionable engineering tasks and infrastructure solutions.
The ideal candidate can independently manage technical scope, coordinate distributed engineering activities, and communicate effectively with enterprise stakeholders.
Requirements
- Strong hands-on experience with GCP and Google Kubernetes Engine (GKE)
- Solid knowledge of Kubernetes, Docker, and Helm
- Practical experience deploying and scaling AI/ML workloads on Kubernetes, including GPU-based workloads
- Experience with Terraform, Infrastructure as Code (IaC), and CI/CD pipelines
- Strong understanding of cloud-native architecture, distributed systems, and microservices
- Proven experience managing technical delivery, priorities, dependencies, and risks
- Ability to translate architectural requirements into actionable engineering tasks
- Experience collaborating directly with enterprise stakeholders and technical management
- Ability to independently define and prioritize technical scope
- Excellent English communication skills, including the ability to lead technical discussions with senior engineers
- Experience with LLM workloads, model serving, and AI inference infrastructure
- Familiarity with LLM serving frameworks and open-source tooling
Responsibilities
- Serve as the primary technical and operational point of contact between client stakeholders and distributed engineering contributors
- Translate business and architectural requirements into actionable technical tasks and delivery plans
- Drive delivery execution by coordinating scope, priorities, schedules, dependencies, and agreed deliverables
- Track milestones, proactively identify risks, resolve cross-team blockers, and escalate critical issues when necessary
- Collaborate with technical leads to evaluate solutions, challenge architectural assumptions, and facilitate technical discussions with senior stakeholders
- Coordinate the delivery of scalable GCP, Kubernetes, and AI/ML infrastructure solutions
- Communicate progress, technical decisions, and risks while taking ownership of agreed technical delivery outcomes
Availability expectations
- On-site collaboration is expected as part of the engagement
- Availability for regular collaboration throughout PST business hours
- Coordination with Europe-based stakeholders and engineering contributors
Base compensation
Expected hourly rate: $55-60/hour
Compensation terms for planned absences