Cloud Engineer

MAS Global Consulting; Colombia; On-site; COP 112,145,340 - 186,908,900; Full time

Job summary

A multinational technology firm in Colombia is seeking an experienced Cloud Engineer to support and operate large-scale data infrastructure systems. You will leverage your strong programming skills in Python or Java and hands-on experience with cloud technologies such as AWS and Kubernetes. You are expected to enhance infrastructure reliability through automation and collaborate effectively with cross-functional teams. This is an opportunity to contribute significantly to the performance of critical data platforms.

Qualifications

• Strong programming experience in Python or Java.
• Hands-on experience with AWS, Kubernetes, and Docker.
• Experience producing documentation and user guides.

Responsibilities

• Support large-scale data infrastructure systems.
• Improve infrastructure reliability through automation.
• Develop tooling and services to streamline workflows.
• Respond to internal stakeholder questions.

Skills

Python

Java

AWS

Kubernetes

Docker

Communication

Collaboration

Tools

Airflow

Luigi

Dagster

Spark

Iceberg

MySQL

DynamoDB

Snowflake

Job description

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Who We Are

At MAS Global Consulting, we focus on empowering our engineering talent while partnering with global organizations to drive innovation, modern platforms, and high-quality software solutions. Our culture centers on collaboration, continuous learning, and delivering meaningful impact through top-tier engineering execution.

We proudly support Affirm, a leading fintech company known for its technical excellence and robust engineering culture. Through this opportunity, you will join Affirm’s Data & Storage Services (DSS) organization—responsible for the reliability, scalability, and performance of Allegiant’s foundational data infrastructure.

Who You Are

You are an experienced Cloud Engineer with strong backend foundations and hands‑on expertise in cloud infrastructure, distributed systems, and DevOps practices. You enjoy solving operational challenges through automation, observability, and tooling improvements. You excel in communication, thrive in cross‑team collaboration, and take ownership of delivering high-impact, scalable solutions.

You are proactive, analytical, and motivated to ensure the reliability and performance of mission‑critical data platforms.

What You’ll Do

• Support and operate affirm’s large‑scale data infrastructure systems across OLTP, OLAP, Streaming, and Batch workloads.
• Improve infrastructure reliability through automation, monitoring, observability, and incident response.
• Develop and enhance Python‑based tooling and services to streamline operational workflows.
• Maintain and modernize affirm’s Python ecosystem, ensuring compatibility with supported language and library versions.
• Automate development workflows to improve communication, visibility, and efficiency across teams.
• Respond to internal stakeholder questions and escalations, providing clear, accurate, and technically sound support.
• Create, refine, and maintain technical documentation, runbooks, onboarding materials, and operational dashboards for DSS platforms.

Must‑Have Qualifications

• Strong programming experience in Python or Java.
• Hands‑on experience with infrastructure operations, including AWS and Kubernetes/Docker.
• Excellent communication and cross‑team collaboration skills.
• Experience producing well‑structured documentation, runbooks, and user guides.

Nice‑to‑Have Qualifications

• Experience with workflow orchestration tools: Airflow, Luigi, Dagster.
• Familiarity with data platform technologies such as Spark, Iceberg, MySQL, DynamoDB, Snowflake (Polaris).
• Knowledge of streaming and batch data processing pipelines.
• Experience maintaining shared infrastructure services used across multiple teams.
• Experience leveraging LLMs or AI tools to automate support or enhance engineering workflows.