Senior DevOps Engineer at MAS Global Consulting

, , Colombia -

Full Time

Start Date

Immediate

Expiry Date

13 Mar, 26

Salary

0.0

Posted On

13 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Cloud Infrastructure, AWS, Kubernetes, Docker, Distributed Systems, Automation, Monitoring, Incident Response, Technical Writing, Collaboration, Data Processing, Streaming Systems, Data Lake, MySQL, Snowflake

Industry

Software Development

Description

Who We Are At MAS Global Consulting, we combine top-tier engineering talent with a people-first culture to help leading organizations accelerate digital transformation. Our teams deliver modern, high-quality solutions across cloud, data, AI, and platform engineering while fostering continuous growth and collaboration. We proudly partner with Affirm, a world-class fintech known for engineering excellence and a strong culture of innovation. Through this role, you will join Affirm’s Data and Storage Services (DSS) organization—an engineering group responsible for powering mission-critical data infrastructure at massive scale. Who You Are You are a Senior DevOps Engineer with strong experience in Python and cloud-native ecosystems. You excel at supporting large-scale distributed systems and enjoy solving operational challenges through automation, tooling, and modern DevOps practices. You thrive in environments where you collaborate across multiple teams, communicate clearly, and take end-to-end ownership of technical problems. You are proactive, analytical, and committed to improving reliability, observability, and efficiency. What You’ll Do Support and operate large-scale data infrastructure systems across OLTP/OLAP, Streaming, and Batch workloads. Improve infrastructure reliability through automation, monitoring, and incident response. Build and enhance Python-based tooling and services to streamline operational workflows. Maintain and modernize Affirm’s Python ecosystem, ensuring compatibility with supported versions and dependencies. Automate workflows to improve collaboration, visibility, and operational efficiency across teams. Handle internal stakeholder questions and escalations with clear, timely, technical responses. Create and maintain technical documentation, including runbooks, onboarding guides, and monitoring dashboards. What You Bring Must-Have Qualifications Strong programming experience in Python or Java. Hands-on experience operating cloud infrastructure, particularly AWS and Kubernetes/Docker. Proven track record maintaining large-scale distributed systems in production. Excellent communication skills and ability to collaborate with engineering and product teams. Strong technical writing skills (documentation, runbooks, user guides). Nice-to-Have Qualifications Experience with streaming systems such as Flink or Kafka. Familiarity with data platform technologies like Spark, Data Lake, MySQL, Snowflake. Experience with data processing frameworks and near-real-time pipelines. Experience supporting shared infrastructure services across multiple engineering teams. Familiarity with using LLMs or AI tools to enhance automation and scale operational support.

Responsibilities

Support and operate large-scale data infrastructure systems while improving reliability through automation and monitoring. Build and enhance Python-based tooling to streamline operational workflows and maintain technical documentation.