Python Automation Engineer@Onsite_Littleton, CO

Role: Python Automation Engineer

Location: Littleton, CO

Type:C2H, after 4 Months customer is going to hire them on Fulltime

Interview Process

First round

• Interview will be divided in 20 minutes of experience/questions and 40 min live coding session
• Candidate will need to have installed one IDE in their personal computer (They will need to share the whole screen and camera) (Online editor won't be allowed)

Second round

• Interview will be for 60 mins live coding session.
• Please request people have IDE like pychar or VScode installed in their local laptop,so they can install python libraries

Experience Level: 8+ years of professional experience, preferably in telecommunications or related industries.

Key Responsibilities:
Lead Splunk Adoption: Oversee the transition to Splunk as the primary monitoring tool, including the porting of use cases from Cisco and other platforms.
Optimize and Enhance Monitoring Use Cases: Partner with teams to refine and enhance use cases in Splunk, ensuring effective tracking of key performance indicators (KPIs).
Dashboard Development: Use the Splunk UI Toolkit (SUIT) and Simple XML extensions to develop customizable dashboards, delivering actionable insights into network performance.
Identify New Use Cases: Proactively design new use cases in Splunk for unrecognized monitoring needs to improve network observability.
Cross-functional Collaboration: Work closely with network operations to ensure Splunk dashboards meet network health and performance monitoring needs.

Required Skills and Experience:
Splunk Expertise: Proficiency with Splunk s Simple XML, SUIT, and familiarity with JavaScript and CSS for customization.
Network Monitoring Tools: Solid experience with Cisco monitoring tools (e.g., Cisco Matrix, Vitria, Fabric) and open-source options like Grafana and Prometheus.
Dashboard and Visualization Development: Skilled in using Splunk s framework to create dynamic, interactive dashboards and in visualizing data with drilldowns, tokens, and custom styling.
Data Analysis and KPI Tracking: Strong ability to define, track, and analyze KPIs relevant to network health.

Preferred Skills:
Python, Git, and Linux: Knowledge of Python for scripting, Git for version control, and Linux environments to manage and deploy applications.
AWS and Networking: Familiarity with AWS services, particularly in networking and monitoring applications, as well as a solid understanding of networking principles and protocols.

Preferred Qualifications:
SplunkJS and Simple XML Extensions: Experience with SplunkJS Stack and Simple XML extensions for enhanced dashboard interactivity.
ReactJS Familiarity: Working knowledge of ReactJS for creating modern, user-friendly interfaces in Splunk.
This position is ideal for an engineer who is well-versed in network observability and automation, with a passion for implementing advanced monitoring strategies in a telecom environment.