Customer Engineer (LATAM/US only)

Let's talk about You:

• Strong programming experience in one or more languages (e.g., Python, Go, Java, TypeScript, etc.).
• Practical experience with Terraform and other IaC frameworks.
• Hands-on knowledge of GCP compute options:
• - Compute Engine, Cloud Run, App Engine (Standard/Flexible), GKE, Managed Instance Groups
• Understanding of when to use AlloyDB vs. Cloud SQL, and experience loading, transforming, and querying data in BigQuery.
• Solid grasp of ETL pipeline patterns and services (Dataflow, Pub/Sub, Composer, Storage, BigQuery).
• Experience with AI/ML workloads and GPU configurations is a plus.
• Ability to troubleshoot latency, autoscaling, performance, and architecture gaps in customer environments.
• Knowledge of cloud cost optimization strategies, especially for Logging and BigQuery.
• Familiarity with compliance frameworks such as FedRAMP and Assured Workloads.

What you will do:

• Cloud Architecture & Engineering:
• Design and implement scalable, resilient, and secure cloud solutions on GCP.
• Evaluate and select appropriate compute services (Compute Engine, Cloud Run, App Engine, GKE, MIGs) based on workload requirements and cost-efficiency.
• Architect solutions leveraging GCP services for AI/ML, storage, networking, and compute — including GPU-powered workloads where necessary.
• Build and manage CI/CD pipelines from scratch using modern DevOps practices.
• Infrastructure as Code & Automation:
• Develop infrastructure using Terraform or similar IaC tools.
• Automate deployments, scaling strategies, and configuration management across environments.
• Implement best practices for operational efficiency, monitoring, and performance tuning.
• Data, Logging, and ETL:
• Work with BigQuery, Cloud Storage, and ETL frameworks such as Dataflow, Composer, or Pub/Sub.
• Optimize Cloud Logging and BigQuery costs using recommended best practices for data ingestion, partitioning, and retention.
• Enable compliant architectures leveraging Assured Workloads, FedRAMP, and other regulatory frameworks where needed.
• Cloud-Native Application Enablement:
• Recommend appropriate services based on use cases:
• - App Engine (Standard/Flexible) vs. Cloud Run
• - GKE for Kubernetes-based workloads and GPU time-sharing capabilities
• - MIGs for large-scale, autoscaling compute workloads
• Diagnose performance issues such as Cloud Run cold starts, applying solutions like minimum instances and startup CPU boosts.
• Implement messaging architectures using RabbitMQ equivalents such as Pub/Sub and configure dead-letter queues/topics.
• Governance, Security & Platform Foundations:
• Configure organizations, folders, IAM policies, landing zones, and best-practice environments inside the GCP console.
• Apply security controls and architectural patterns compliant with industry and government standards.

Why join us:

• Ability to work remotely from anywhere in the world
• Close cooperation with the development team and client
• Opportunity to influence product development
• Professional growth: the certification preparation course is free for our specialists. The company pays for two attempts to pass the exam, regardless of the exam result
• We cover English classes (with a native speaker)
• Boost professional brand: you can participate in local conferences as a listener or as a speaker
• Regular team buildings: have fun with teammates
• Gifts for significant life events (marriage, childbirth)
• Tech and non-tech Zazmic Communities: support and share experience with each other