Software Engineer - DevOps

July 25

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Description

• Build and Expand Infrastructure: Enhance Aura’s AWS infrastructure to support our rapidly growing user base and engineering team. • Automate and Simplify: Identify repetitive tasks and develop tools to automate them. Simplify complex and error-prone processes with efficient solutions. • Ensure Security and Compliance: Develop tools and policies that provide engineers with necessary access while maintaining security and compliance. • Research and Implement Tools: Evaluate, recommend, and integrate new infrastructure and tools to support new product features. • Monitor and Alert: Implement robust monitoring, logging, and actionable alerting to maintain high operational standards for the Aura platform. • Proactively manage and optimize cloud resources to control costs and maximize efficiency. • Participate in on-call rotation and respond to system alerts in a timely manner. • Develop and maintain disaster recovery plans and procedures to ensure business continuity in the event of system failures.

Requirements

• Kubernetes Expertise: Experience in managing Kubernetes clusters and workloads (AWS EKS preferred) using configuration as code. • AWS Infrastructure: Experience building and maintaining AWS infrastructure using infrastructure-as-code tools (Plumi preferred). • Events Based Architecture: Experience working, managing and monitoring platforms based on events architecture (messaging with SNS, SQS, EventBridge, Kafka, RabbitMQ are a plus). • CI/CD Solutions: Experience with continuous integration and continuous delivery systems (Github Actions preferred). • Docker: Proficiency in building and maintaining Docker images. • Programming Skills: Proficiency in a high-level programming / scripting language (Python and TypeScript preferred). • Serverless Experience: knowledge of managing and working with serverless architecture (AWS Lambda, Serverless Framework, CloudFunctions are a plus) • Vercel Experience: Experience working with Vercel Data. • Pipelines: Familiarity with data pipeline infrastructure such as Airflow. • Monitoring Tools: Experience with Datadog is a plus. • Team Collaboration: A passion for getting things done and developing features collaboratively with the team.