Cloud Engineer at MAS Global Consulting

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

05 Mar, 26

Salary

0.0

Posted On

05 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Engineering, Python, Java, AWS, Kubernetes, Docker, Distributed Systems, DevOps, Automation, Monitoring, Observability, Technical Documentation, Incident Response, Data Processing, Collaboration, Tooling Improvements

Industry

Software Development

Description

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 Affirm’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. What You Bring Must-Have Qualifications Strong programming experience in Python or Java. Hands-on experience with infrastructure operations, including AWS and Kubernetes/Docker. Proven track record maintaining large-scale distributed systems in production environments. 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.

Responsibilities

Support and operate Affirm’s large-scale data infrastructure systems while improving infrastructure reliability through automation and monitoring. Develop Python-based tooling and maintain technical documentation for operational workflows.