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

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EngineeringDevops Engineer

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Overview

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

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EngineeringDevops Engineer

🚀 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

🔍 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! 🚀

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 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.