Mutt Data

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

Argentina full-time Senior Salary not listed
full-time Senior level Technology & IT Curated
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About the role

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
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 Engineerto 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 workloadsπŸš€

πŸš€ 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

πŸ“Š We are Data Nerds

πŸ€— We are Open Team Players

πŸš€ We Take Ownership

🌟 We Have a Positive Mindset

πŸ” 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! πŸš€

Responsibilities πŸ€“

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 πŸ’»

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

πŸš€ In-Company English Lessons.

πŸš€ AWS & Databricks certifications fully covered

πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)

🀝 Referral bonuses – help us grow the team & get rewarded!

✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!

Originally posted on Himalayas

Interview prep

Walk in with sharper answers.

Use these suggested prompts to prepare. They are not questions supplied by the employer.

Senior
Technology & IT Administration Business Development Operations Remote Collaboration Writing Senior level

Practice questions

  1. Tell us about work you have done that is close to the #17 Senior Cloud Platform Engineer (AWS / Kubernetes / Terraform) role.
  2. How would you approach your first 30 days at Mutt Data?
  3. Which of Administration, Business Development and Operations have you used recently, and what did it help you achieve?
  4. How have you led people, improved a process, or made a hard decision in a previous role?
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Administration, Business Development and Operations.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the #17 Senior Cloud Platform Engineer (AWS / Kubernetes / Terraform) role at Mutt Data. My relevant experience is [your example], where I [your action] and achieved [your result].

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