5-10
Cloud Engineer
12/5/2025
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.
Working Hours
40 hours/week
Company Size
51-200 employees
Language
English
Visa Sponsorship
No
About The Company
Headquartered in the U.S. with advanced software engineering and design teams in Colombia and throughout LATAM, MAS Global supports high-growth scale-ups and ambitious established brands.
Our service stack extends from strategy and ideation to design, architecture, and engineering. From AI-driven modernization to full-scale digital platform builds, we can fast-track your most critical technology initiatives with flexible, high-caliber teams.
Consistently recognized as a great place to work, each dedicated member of the MAS Global team contributes to our vision of diversity and delivering an amazing client experience.
About the Role
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
Must-Have Qualifications
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.
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.
- 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.
Key Skills
Cloud EngineeringPythonJavaAWSKubernetesDockerDistributed SystemsDevOpsAutomationMonitoringObservabilityIncident ResponseTechnical DocumentationData ProcessingCollaborationTooling Improvements
Categories
TechnologyEngineeringData & AnalyticsSoftwareConsulting
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