AI Engineering Manager (Golang/Google Cloud Platform)

Smart Caliber Technology
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote

Tech stack

API
Artificial Intelligence
Google BigQuery
Cloud Engineering
DevOps
Distributed Systems
Scrum
Prometheus
Azure
Software Engineering
Data Streaming
Systems Integration
Datadog
Google Cloud Platform
Large Language Models
Grafana
Multi-Agent Systems
Generative AI
Backend
Event Driven Architecture
Kubernetes
Machine Learning Operations
REST
Splunk
Docker
Go
Microservices

Job description

We are seeking highly skilled Software Engineering Managers to lead AI-native platform engineering teams focused on building scalable, cloud-native, intelligent applications leveraging Google Cloud Platform and Golang. The ideal candidate will have deep backend engineering expertise, strong cloud architecture experience, and exposure to AI/ML-driven product ecosystems, GenAI services, and modern distributed systems., * Lead and mentor engineering teams building AI-native and cloud-native applications.

  • Drive architecture, design, and development of scalable backend systems using Golang and Google Cloud Platform.

  • Collaborate with AI/ML teams, product managers, architects, and DevOps teams to deliver intelligent platform solutions.

  • Design and implement microservices, APIs, event-driven architectures, and AI-integrated workflows.

  • Establish engineering best practices for scalability, observability, security, reliability, and performance.

  • Manage sprint planning, technical delivery, engineering execution, and stakeholder communication.

  • Drive adoption of modern AI engineering practices including LLM integrations, AI orchestration, and intelligent automation.

  • Support hiring, coaching, and career growth of software engineers.

  • Participate in technical roadmap planning and architecture governance.

Requirements

  • 10+ years of software engineering experience with 3+ years in engineering management or technical leadership.

  • Strong hands-on experience in Golang development.

  • Extensive experience with Google Cloud Platform (Google Cloud Platform).

  • Experience building cloud-native distributed systems and microservices.

  • Strong understanding of AI-native architectures and modern AI application ecosystems.

  • Experience integrating AI/ML services, APIs, or Generative AI platforms.

  • Expertise with Kubernetes, Docker, and container orchestration platforms.

  • Experience with CI/CD pipelines, DevOps practices, and Infrastructure as Code.

  • Strong knowledge of REST APIs, event streaming, and backend platform engineering.

  • Experience working in Agile/Scrum environments.

Preferred Qualifications:

  • Experience with Vertex AI, Gemini, OpenAI APIs, LangChain, or AI orchestration frameworks.

  • Knowledge of Pub/Sub, BigQuery, GKE, Cloud Run, Cloud Functions, and related Google Cloud Platform services.

  • Experience implementing observability using Prometheus, Grafana, Splunk, or Datadog.

  • Familiarity with MLOps pipelines and AI model deployment strategies.

  • Experience managing globally distributed engineering teams.

  • Google Cloud Platform or AI-related certifications are a plus.

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