Senior Sre - Ai Reliability & Platform Engineer

T2S - Group International . Your Partner In Executive Search

Quilmes

Hybrid

ARS 139,364,000 - 216,789,000

Full time

4 days ago
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Benefits offered by this job

Professional growth
Competitive USD-based pay with budgets
Exciting projects
Flextime: remote/office options

Job summary

T2S - Group International . Your Partner In Executive Search is seeking a Platform Engineer to build and scale core infrastructure supporting rapid company growth.

You will design reliable platform services, manage cloud resources on AWS and Kubernetes, and collaborate with engineering and data science teams to keep systems performant and secure. Ideal candidates have 3+ years in Python/TypeScript server development, 1+ year in API design, and hands-on experience with AWS, Kubernetes, and LLMs.

Qualifications

  • 3+ years of server development in Python or TypeScript.
  • 1+ year of API design and development using REST/gRPC.
  • 1+ year experience with AWS and Kubernetes, including Istio/Linkerd/Cilium or similar.
  • 1+ year building advanced architectural components such as service registry, streaming, event bus, distributed caching, etc.
  • 6+ months of experience with LLMs, prompt engineering, harness engineering, or AIOps tooling.
  • 6+ months of SDLC AI-native usage via Claude Code, Claude Cowork, or similar.
  • Excellent communication skills, quick learner, and ownership mindset.

Responsibilities

  • Design, build, and maintain scalable and reliable platform services to support company growth.
  • Measure, monitor, and optimize system performance, identify bottlenecks, and implement infrastructure improvements.
  • Manage cloud resources and service boundaries, ensuring security and operational excellence.
  • Implement best practices and tools to optimize development processes and increase efficiency.
  • Communicate with stakeholders, including senior leadership, to provide project status, risks, and issues.

Skills

Python
TypeScript
API design
AWS
Kubernetes
Distributed systems
LLMs
AI-native SDLC

Job description

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!



ABOUT THE ROLE

We are looking for a Platform Engineer to build and scale core infrastructure that supports rapid company growth. This person designs reliable platform services, manages cloud resources on AWS and Kubernetes, and works closely with engineering and data science teams to keep systems performant and secure. Comfort with distributed architecture and AI-native tooling matters here.



MUST HAVES


  • 3+ years of server development in Python or TypeScript.

  • 1+ year of experience with API design and development using REST/gRPC.

  • 1+ year of experience with AWS and Kubernetes, including experience with Service Mesh technologies such as Istio, Linkerd, Cilium, or similar.

  • 1+ year of experience building advanced architectural components such as service registry, streaming, event bus, distributed caching, federated/polyglot persistence, etc.

  • 6+ months of experience working with LLMs, prompt engineering, harness engineering, or AIOps tooling.

  • 6+ months of SDLC AI-native usage via Claude Code, Claude Cowork, or similar.

  • Excellent communication skills, the ability to learn on the fly, and a desire for ownership.



WHAT YOU WILL DO


  • Design, build, and maintain scalable and reliable platform services to support company growth.

  • Measure, monitor, and optimize system performance, identifying bottlenecks and implementing infrastructure-level improvements.

  • Manage cloud resources and service boundaries, ensuring security and operational excellence.

  • Implement best practices, methodologies, and tools to optimize the development process and increase efficiency.

  • Communicate effectively with stakeholders, including senior leadership, to provide updates on project status, risks, and issues.



PERKS AND BENEFITS


  • Professional growth : Mentorship, TechTalks, and personalized growth roadmaps.

  • Competitive compensation : USD-based pay with education, fitness, and team activity budgets.

  • Exciting projects : Modern solutions with Fortune 500 and top product companies.

  • Flextime : Flexible schedule with remote and office options.

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