Role OverviewYou will be part of a team responsible for delivering mission-critical infrastructure cognizance. You will be tasked with aggregating data sources to create a clear picture of what infrastructure was requested, what infrastructure was deployed, and proactively alerting on any discrepancies. The team's application is used by subject matter experts to investigate, create, and iterate on best practices and deployment rules, and the team detects and surfaces cases where requested or provisioned infrastructure breaks those best practices and rules.
What You Will Do
Build streaming data pipelines (Kafka, Python) to process infrastructure data. Develop ETL workflows to reconcile requested vs. realized infrastructure. Apply AI tools and techniques to accelerate analysis and prototype new solutions quickly.
Why It Might Be a Fit
Given the visibility and impact of this work, the team interacts with many stakeholders from across the organization and iterates as frequently as possible. As a Software Engineer I focusing on streaming analytics and ETL, you will design pipelines that transform infrastructure data into actionable insights and leverage AI to conduct analysis and rapidly develop new solutions.
Requirements
- Strong proficiency in Python.
- Demonstrated use of AI/ML tools to accelerate data analysis and engineering solution development.
- Experience with Kafka and streaming analytics.
- Working knowledge of relational databases.
- Exposure to adjacent domains such as dataflow, data science, or mission analytics is a plus.
Benefits
- 24 days PTO accrued annually
- 11 federal holidays
- 100% vested 401k
- 10% direct contribution to 401k
- 100% of healthcare costs covered for employees
- 50% of healthcare costs covered for dependents
- Educational assistance towards college classes
- Coverage of costs associated with job-related training and certifications
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