Devops Architect - Python -W2 only

Key Responsibilities

• Design, deploy, and maintain scalable infrastructure supporting data pipelines and distributed systems
• Build and optimize CI/CD workflows using GitHub and GitHub Actions
• Manage containerized environments using Docker and orchestrate workloads with Kubernetes
• Develop and maintain data pipeline integrations leveraging Kafka and RabbitMQ
• Implement log ingestion, parsing, and monitoring solutions using Logstash and Grok
• Support and optimize systems running on Google Cloud Platform, ensuring performance, reliability, and cost efficiency
• Work with Python-based tooling and manage data across RDBMS and lakehouse environments
• Troubleshoot production issues, perform root cause analysis, and implement long-term fixes
• Collaborate with engineering and data teams to streamline deployment and data operations

Required Qualifications

• 10+ years of experience in infrastructure engineering with exposure to data engineering and data pipelines
• Strong experience with Linux systems and Docker-based deployments
• Hands-on experience with Kubernetes in production environments
• Proficiency with Python and working knowledge of RDBMS and data lakehouse architectures
• Experience with streaming/messaging systems such as Kafka and RabbitMQ
• Expertise in log processing and monitoring tools including Logstash and Grok
• Experience building CI/CD pipelines using GitHub and GitHub Actions
• Solid experience working within Google Cloud Platform (Google Cloud Platform)

Preferred Qualifications

• Experience with Snowflake and/or Google BigQuery
• Familiarity with Microsoft Azure environments
• Exposure to multi-cloud infrastructure and hybrid deployments

What Success Looks Like

• Highly reliable and scalable infrastructure supporting data pipelines
• Efficient CI/CD processes enabling rapid and stable deployments
• Strong observability and logging systems with actionable insights
• Reduced downtime and faster incident resolution
• Well-documented, automated infrastructure and workflows

Work Environment

• Fully remote, collaborative engineering team
• High-impact role supporting critical data infrastructure
• Opportunity to work across modern DevOps, cloud, and data ecosystems