Python Developer (Alerting & Monitoring)

About us:

Where elite tech talent meets world-class opportunities!

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems.

Job Description – Python Developer (Alerting & Monitoring)

Location: Remote
Experience: 6+ Years
Availability: Immediate Joiner

Role Overview

We are looking for an experienced Python Developer with strong expertise in AWS monitoring, alerting, and automation. The ideal candidate will build and enhance observability capabilities across multiple AWS accounts, ensuring system reliability, proactive alerting, and automated health checks.

This role requires hands‑on experience with AWS services, strong analytical skills, and the ability to design scalable monitoring workflows.

Key Responsibilities

Monitoring & Health Checks

• Implement automated health checks for AWS resources and applications.
• Build performance monitoring dashboards and scripts to track system health and SLAs.

Alerting & Incident Notification

• Develop and configure alerting mechanisms using AWS services such as:
• CloudWatch (metrics, alarms, logs)
• SNS (notifications)
• EventBridge (event routing and automation)
• Ensure timely notifications to relevant teams through automated workflows.

Automation & Configuration Consistency

• Build Python‑based automations to validate and enforce configuration consistency across multiple AWS accounts.
• Develop scripts to detect anomalies, misconfigurations, and compliance gaps.

Service Request & Workflow Automation

• Create automated service request workflows to engage engineering, DevOps, and support teams.
• Integrate alerting workflows with ticketing or communication systems (e.g., Slack, email, Jira).

Required Skills

Technical Skills

• Strong hands‑on experience with Python for automation, monitoring, and scripting.
• Solid understanding of AWS services, including:
• Lambda
• CloudWatch
• SNS
• EventBridge
• X‑Ray
• Experience building monitoring dashboards, alerts, and automated health checks.

Analytical & Problem‑Solving Skills

• High attention to detail with the ability to validate computations and troubleshoot issues.
• Strong debugging and optimization skills.

Good to Have

• Experience with enterprise monitoring tools such as:
• Splunk
• AppDynamics
• Datadog, New Relic, or similar observability platforms
• Exposure to CI/CD pipelines and DevOps practices.

Ideal Candidate Profile

• 6+ years of experience in Python development and AWS automation.
• Strong understanding of monitoring, observability, and alerting frameworks.
• Ability to work independently in a remote environment.
• Immediate availability.

At Xenon7, we're not just building AI systems—we're building a community of talent with the mindset to lead, collaborate, and innovate together.

• Ecosystem of Opportunity: You'll be part of a growing network where client engagements, thought leadership, research collaborations, and mentorship paths are interconnected. Whether you're building solutions or nurturing the next generation of talent, this is a place to scale your influence.
• Collaborative Environment: Our culture thrives on openness, continuous learning, and engineering excellence. You'll work alongside seasoned practitioners who value smart execution and shared growth.
• Flexible & Impact-Driven Work: Whether you're contributing from a client project, innovation sprint, or open-source initiative, we focus on outcomes—not hours. Autonomy, ownership, and curiosity are encouraged here.
• Talent-Led Innovation: We believe communities are strongest when built around real practitioners. Our Innovation Community isn’t just a knowledge-sharing forum—it’s a launchpad for members to lead new projects, co-develop tools, and shape the direction of AI itself.