Remote Ai-Native Platform Engineer On Aws & K8S

Agileengine, Llc.; Buenos Aires; Hybrid; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Remote and office options

Flexible schedule

USD-based pay

Mentorship & Tech Talks

Job summary

AgileEngine is seeking a Platform Engineer to design, build, and scale core infrastructure supporting rapid growth. You will manage AWS and Kubernetes resources, ensure security and performance, and collaborate with engineering and data science teams on AI-native tooling.

Ideal candidates have 3+ years in Python or TypeScript, plus experience with APIs, cloud-native design, and service meshes. The role offers flextime with both remote and office options and USD-based compensation.

Qualifications

• 3+ years server development in Python or TypeScript.
• 1+ year API design and development (REST/gRPC).
• 1+ year AWS and Kubernetes experience; Service Mesh exposure (Istio/Linkerd/Cilium).
• 1+ year building core architectural components (service registry, streaming, distributed caching).
• 6+ months working with LLMs, prompt engineering or AIOps tooling.
• 6+ months SDLC AI-native usage (Claude/AI tooling).
• Excellent communication skills, eager to own tasks and learn quickly.

Responsibilities

• Design, build, and maintain scalable platform services.
• Monitor, measure, and optimize system performance.
• Manage cloud resources and ensure security and reliability.
• Implement best practices to improve development efficiency.
• Communicate project status and risks to leadership.

Skills

Python

TypeScript

API design

AWS

Kubernetes

Service Mesh

AI tooling

SDLC AI-native tooling

Communication

Tools

Istio

Linkerd

Cilium

Job description

AgileEngine is an Inc. 5000 company that creates award‑winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people‑first culture has earned us multiple Best Place to Work awards.

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.