#17 Senior Cloud Platform Engineer (AWS / Kubernetes / Terraform)

🚀 What We Do

• Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
• Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
• Offering comprehensive Data 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.

🌟 Our Partnerships

• Amazon Web Services
• Astronomer
• Databricks

🌟 Our Values

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset
 
🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

Responsibilities 🤓

• 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.

Administration & Operations of Data & AI Platforms

• Operate and govern production-grade platforms running on Kubernetes / EKS.
• Manage platforms such as Langfuse, LiteLLM, ClickHouse, Redis, and future Data & 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.

DevOps / SRE Automation

• 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 💻

• 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.
 
Nice to have
 
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

🎁 Perks

• 🚀 In-Company English Lessons.
• 🚀 AWS & Databricks certifications fully covered
• 🎂 Birthday off + an extra vacation week (Mutt Week! 🏖️)
• 🤝 Referral bonuses – help us grow the team & get rewarded!
• ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!