AI Engineering Manager (Golang/Google Cloud Platform) - 100% Remote- Full time Role

Position: AI Engineering Manager (Golang/Google Cloud Platform)

Location: 100% Remote

Duration: Fulltime

Job Summary:

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.

 

Key Responsibilities:

• 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.

 

Required Skills:

• 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.

 

 

Best Regards,

Chetna

Truth Lies in  Heart