Cloud Platform Engineer (LATAM)

Ncube
2 days ago

Role details

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

Job location

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Audit Trail
Azure
Bash
C++
Cloud Computing
Cloud Engineering
Configuration Management
Databases
DevOps
Distributed Systems
Github
Identity and Access Management
Python
Cloud Services
Ansible
Prometheus
System Programming
Datadog
Pulumi
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Data Ingestion
Saltstack
Large Language Models
Grafana
GIT
Cloudformation
Kubernetes
Information Technology
Low Latency
Terraform
Go

Job description

We are seeking a highly skilled DevOps/Cloud Platforms Engineer to join our client's engineering organization and help drive the next generation of their infrastructure and platform capabilities. In this role, you will be responsible for designing, operating, and optimizing cloud environments, maintaining cloud infrastructure, and creating internal developer platforms that support fast, reliable, and secure software delivery. You will work closely with engineering, QA, data, and product teams to ensure systems are scalable, resilient, and easy to use.

The ideal candidate brings a strong blend of cloud infrastructure expertise, DevOps mindset, and hands-on development skills. You will automate wherever possible, use Infrastructure as Code to maintain consistency, and leverage modern DevOps tooling, including AI-assisted automation to enhance operational efficiency and developer productivity.

Client- a global database company that empowers the world's leading organizations to build and scale cutting-edge AI applications on a unified data platform that supports real-time transactions, analytics, and search. Their platform handles streaming data ingestion, vector search, full-text search, and multi-model data types - all with high performance, petabyte-scale capacity, high user concurrency, and low latency., * Automate infrastructure provisioning, configuration management, monitoring, and operational workflows using IaC and scripting languages

  • Own the deployment, maintenance, and lifecycle management of systems supporting engineering (Kubernetes clusters, container registries, artifact systems, and internal developer platforms) leveraging deep expertise in Kubernetes, container runtimes, and the broader cloud-native ecosystem (Helm, Kustomize, operators)

  • Troubleshoot complex infrastructure and application issues, driving root-cause analysis and developing long-term remediation solutions

  • Design, build, and maintain cloud infrastructure across major cloud providers (AWS, GCP, Azure), and develop/support deployments of applications, services, and monitoring with a strong focus on scalability, reliability, and cost optimization

  • Develop, enhance, and maintain CI/CD pipelines using modern DevOps tooling (GitHub ActionsI, ArgoCD, Terraform, etc.)

  • Develop internal tooling and automation using Terraform, Python, Go, or similar languages to streamline operational tasks and improve developer productivity

  • Implement and manage security best practices across cloud environments, including identity management, secrets handling, audit logging, and network controls

  • Leverage AI/ML tools to automate repetitive DevOps tasks, operational workflows

Requirements

  • 6-8 years of experience in DevOps, Cloud Engineering, Systems Administration, or similar infrastructure-focused roles

  • Familiar with GIT and comfortable with at least one systems programming language (C/C++, GoLang) and one scripting language (Python, bash)

  • Proficiency with Infrastructure as Code (Terraform, Pulumi, or CloudFormation) and configuration management (Ansible, Chef, or SaltStack)

  • Working knowledge of at least one of the observability stacks (Prometheus, Grafana, ELK/OpenSearch, Datadog, etc.) and operational troubleshooting

  • Strong hands-on experience with Kubernetes management in production environments

  • Experience designing, developing, and/or troubleshooting distributed systems

  • Comfort with shells on *nix family systems

  • B.S. degree or equivalent experience in Engineering, Computer Science or a related field

  • Advanced English

  • Experience applying AI/ML tools (GitHub Copilot, cloud AI services, LLM-based automations, anomaly detection tooling, etc.) to streamline DevOps and infrastructure workflows is a strong plus.

  • Certifications from cloud service providers (AWS DevOps, GCP DevOps Eng, etc) will be a plus

Benefits & conditions

  • Competitive salary

  • Vacation (up to 20 working days)

  • Paid sick leaves (10 working days)

  • National Holidays as paid time off

  • Flexible working schedule, remote format

  • Direct cooperation with the customer

  • Dynamic environment with low level of bureaucracy and great team spirit

  • Challenging projects in diverse business domains and a variety of tech stacks

  • Communication with Top/Senior level specialists to strengthen your hard skills

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