Python Developer (Alerting & Monitoring)

1 month, 1 week ago
Contract
Senior
Software Development
Xenon7

Xenon7

Xenon7 provides advanced AI solutions and consultancy services, leveraging a team of highly qualified experts and a strong emphasis on research and innovation to address complex industry challenges and enhance operational efficiency.

Internet Software & Services
Founded 2014

Description

  • Design and implement automated health checks for AWS resources and applications.
  • Build performance monitoring dashboards and scripts to track system health and SLAs.
  • Develop and configure alerting mechanisms and alarms using AWS services (CloudWatch metrics/logs/alarms, SNS, EventBridge).
  • Create Python-based automations to validate and enforce configuration consistency across multiple AWS accounts.
  • Develop scripts to detect anomalies, misconfigurations, and compliance gaps and trigger automated responses.
  • Implement automated service request workflows to engage engineering, DevOps, and support teams.
  • Integrate alerting and automation workflows with ticketing and communication systems (e.g., Slack, email, Jira).
  • Design scalable monitoring workflows and ensure timely notifications to relevant teams through automated workflows.

Requirements

  • 6+ years of experience in Python development and AWS automation.
  • Immediate availability / ready to join.
  • Strong hands-on experience with Python for automation, monitoring, and scripting.
  • Solid understanding and hands-on experience with AWS services including Lambda, CloudWatch, SNS, EventBridge, and X-Ray.
  • Experience building monitoring dashboards, alerts, and automated health checks.
  • High attention to detail with strong analytical, debugging, and optimization skills.
  • Ability to work independently in a remote environment.
  • Preferred: experience with enterprise monitoring tools such as Splunk, AppDynamics, Datadog, New Relic, or similar.
  • Preferred: exposure to CI/CD pipelines and DevOps practices.

Benefits

  • Flexible, remote work with outcome-focused expectations and autonomy.
  • Ecosystem of opportunity including client engagements, research collaborations, and mentorship paths.
  • Collaborative environment emphasizing continuous learning and engineering excellence.
  • Opportunities to lead projects, co-develop tools, and shape AI/ML initiatives through the company's Innovation Community.
  • Pathways for thought leadership, professional growth, and community-driven impact.

Interested in this position?

Apply directly on the company website

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