Sobre

• 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.