Title: Cloud Native Engineer
Location: Mexico City, MX
Duration: Permanent/Direct-hire role

About the Role
As a Cloud Native Engineer at the client, you will design, deploy, and operate the cloud infrastructure that powers our AI products across multiple customer environments. You are both a platform engineer and a trusted customer-facing cloud architect, responsible for ensuring clients' products are scalable, secure, observable, and production-ready.
You will work closely with Data/ML Engineers, Full Stack Engineers, and customer DevOps/SRE teams to deliver reliable AI-driven systems that process large volumes of data and operate at scale.
What You’ll Do

• Design, architect, and deploy cloud-native applications using modern patterns (microservices, containers, Kubernetes, serverless).
• Build and manage cloud infrastructure using Infrastructure as Code (Terraform, CloudFormation).
• Configure and optimize infrastructure for parallel processing of large-scale AI and data workloads.
• Instrument observability and monitoring for clients' products, including data pipelines, AI services, and action workflows (e.g., Azure Monitor, Google Cloud Operations Suite, Grafana, Loki, OpenTelemetry).
• Partner with customer DevOps and SRE teams to design and implement CI/CD pipelines and deployment strategies.
• Collaborate with Data/ML Engineers to provision and optimize infrastructure for AI workloads, leveraging Azure Machine Learning, Vertex AI, and managed compute services.
• Work with Full Stack Engineers to design backend cloud services and deployment architectures.
• Act as a trusted cloud advisor across 1–5 customer environments.

Basic Qualifications (Must Have)

• Bachelor’s degree in Computer Science, Software Engineering, or related field.
• 3+ years of experience in cloud architecture, platform engineering, or DevOps.
• Strong experience with cloud-native application design, containers, and Kubernetes.
• Proficiency with Infrastructure as Code tools (Terraform, CloudFormation).
• Hands-on experience designing and maintaining CI/CD pipelines.
• Experience implementing cloud security best practices (IAM, encryption, vulnerability scanning).
• Experience with monitoring, observability, and performance optimization.
• Familiarity with observability tooling (e.g., Grafana, Loki, Elasticsearch).
• Experience deploying applications via containers and modern CI/CD platforms (GitHub, GitLab, Bitbucket).

Advanced Qualifications (Nice to Have)

• Master’s degree in a related field.
• Experience with serverless architectures and frameworks.
• Experience supporting or building MLOps pipelines.
• Strong understanding of networking concepts (VPCs, load balancing, service meshes such as Istio or Linkerd).
• Familiarity with Python-based APIs.
• Cloud certifications (AWS, GCP, Azure, Snowflake).
• Experience with Azure-native services (AKS, Azure Container Registry, Azure Data Factory, Azure Synapse Analytics, Azure Databricks). 
• Experience with GCP-native services (GKE, Artifact Registry, Cloud Composer, BigQuery, Dataflow, Dataproc).
• Experience with OpenTelemetry and distributed tracing.

 
 
At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position’s starting pay is: $ 4000.00/Monthly.