#17 Senior Cloud Platform Engineer (AWS / Kubernetes / Terraform)
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- Stated location
- Argentina
- Listing updated on our site
- 14 Nov 2026, 01:01 EAT
- Mentions "eat"
- Timezone range utc-3 to utc-3 overlaps EAT (UTC+3)
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| Employer | Verified Direct Employer (Protected) |
|---|---|
| Location | Argentina |
| Remote type | Full Time |
| Posted | 3h ago |
| Application Status | Pro Membership & Free Pass Access |
| Vetting | Automated Kenya-friendly signals โ confirm eligibility |
About this role (Direct Employer Details Protected)
We are looking for a hands-on Senior Cloud Platform Engineerto join a strategic initiative focused on deploying and operating [Employer] & AI platforms.
You will join the client's platform team and own the cloud infrastructure that its product and [Employer] teams deploy on. The work centers on Kubernetes clusters on AWS, GitOps delivery with ArgoCD, and reliability for regulated, high availability financial workloads๐
๐ What We Do
- Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
- Developing scalable [Employer] infrastructures, we enhance high-level decision-making, tailored to each client.
- Offering comprehensive [Employer] Engineering and custom AI solutions, we optimize cloud-based systems.
- Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
- Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
- Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.
๐ Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
๐ Our Values
- ๐ We are [Employer] Nerds
- ๐ค We are Open Team Players
- ๐ We Take Ownership
- ๐ We Have a Positive Mindset
Responsibilities ๐ค
- Infrastructure as Code on AWS
- Deploy and maintain infrastructure using Terraform on AWS.
- Ensure infrastructure complies with enterprise security, networking, and governance standards.
- Collaborate with Infrastructure and Enterprise Architecture teams on platform requirements and integrations.
- Operate and govern production-grade platforms running on Kubernetes / EKS.
- Manage platforms such as Langfuse, LiteLLM, ClickHouse, Redis, and future [Employer] & AI tooling.
- Design and maintain:
- Backup & restore strategies
- High Availability (HA) configurations
- Shared cache and distributed rate limiting mechanisms
- Horizontal and vertical scaling strategies
- Platform upgrades and dependency management
- Integrate secrets and credentials management through Vault.
- Troubleshoot production incidents and improve operational recovery processes.
- Read and understand platform documentation to ensure optimal deployment and operation on Kubernetes environments.
- Build and maintain CI/CD pipelines using GitHub Actions.
- Automate operational workflows and deployment processes.
- Improve observability, monitoring, and operational reliability.
- Create operational runbooks and reduce manual toil through automation.
- Continuously improve platform stability, scalability, and developer experience.
Required Skills ๐ป
- 4+ years in DevOps, SRE or cloud platform engineering, with at least 3 years running Kubernetes in production.
- Deep hands-on AWS experience: EKS, EC2, VPC, IAM, S3, RDS and related networking.
- Production experience with ArgoCD and GitOps practices.
- Strong Terraform skills, including reusable modules and remote state.
- Helm, Docker and CI/CD tooling such as GitHub Actions, Jenkins or AWS CodePipeline.
- Scripting in Bash and Python.
- Observability and incident management experience on high traffic, high availability systems.
- Experience in financial services, payments or another regulated industry.
- Advanced English, written and spoken, to work directly with US based teams.
- AWS Certified Solutions Architect (Associate or Professional), or the CKA or CKAD certification.
- Experience with Azure, GCP, OpenShift or on-prem Kubernetes (for example VMware Tanzu).
- Progressive delivery with Argo Rollouts, plus policy as code with OPA Gatekeeper or Kyverno.
- Cost optimization for AWS and Kubernetes workloads.
- Experience leading or mentoring a DevOps team.
- Spanish, to work with Muttdata's LATAM teams
๐ Perks
- ๐ In-Company English Lessons.
- ๐ AWS & Databricks certifications fully covered
- ๐ Birthday off + an extra vacation week ([Employer] Week! ๐๏ธ)
- ๐ค Referral bonuses โ help us grow the team & get rewarded!
- โ๏ธ๐๏ธ Annual Mutters' Trip โ an unforgettable getaway with the team!
Originally posted on [Employer]
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