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

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We are looking for a hands-on Senior Cloud Platform Engineer to join a strategic initiative focused on deploying and operating Data & AI platforms.

You will join the client's platform team and own the cloud infrastructure that its product and data teams deploy on. The work centers on Kubernetes clusters on AWS, GitOps delivery with ArgoCD, and reliability for regulated, high availability financial workloads🚀

• 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.

• Amazon Web Services
• Astronomer
• Databricks

• 📊 We are Data Nerds
• 🤗 We are Open Team Players
• 🚀 We Take Ownership
• 🌟 We Have a Positive Mindset

• 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.

• 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.

• 🚀 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!