Senior Fintech Platform Engineer – Remote Backend

Félix

Ciudad de Mendoza

A distancia

ARS 181.747.000 - 272.620.000

Jornada completa

Hace 8 días

Una candidatura completa en un minuto

Currículum y carta de presentación personalizados, listos para enviar.

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Ventajas ofrecidas por este puesto de trabajo

Growth opportunities
Competitive USD pay
Diverse projects
Flextime & remote option

Descripción de la vacante

AgileEngine is seeking a Platform Engineer to design, build, and scale core infrastructure that supports rapid company growth. You will manage cloud resources on AWS and Kubernetes, ensuring performance, security, and reliability while collaborating with engineering and data science teams.

We value distributed architecture expertise and hands-on ownership. Strong communication and ability to learn on the fly are essential for success in this role.

Formación

  • 3+ years of server development in Python or TypeScript.
  • 1+ year API design and development using REST/gRPC.
  • 1+ year of experience with AWS and Kubernetes, including service mesh technologies such as Istio/Linkerd/Cilium.
  • 1+ year building architectural components like service registry, streaming, event bus, distributed caching, etc.
  • 6+ months 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, the ability to learn on the fly, and a desire for ownership.

Responsabilidades

  • 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.

Conocimientos

Python
TypeScript
REST/gRPC
AWS
Kubernetes
LLMs/AIOps
SDLC AI-native usage
Communication

Herramientas

Istio
Linkerd
Cilium

Descripción del empleo

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.

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.
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.
PERKS AND BENEFITS
  • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: We match your ever‑growing skills, talent, and contributions with competitive USD‑based compensation and budgets for education, fitness, and team activities.
  • A selection of exciting projects: Join projects with modern solutions development and top‑tier clients that include Fortune 500 enterprises and leading product brands.
  • Flextime: Tailor your schedule for an optimal work‑life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.
WHEN YOU DO THIS

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