Systems Engineer

at  Leidos

REQUIRED EXPERIENCE, SKILLS, AND EDUCATION:

• Bachelor’s degree and 12+ years of relevant experience. Additional work experience may be considered in lieu of a degree.
• Demonstrated experience working with an AWS cloud environment.
• Demonstrated experience understanding and implementing system security requirements.
• Demonstrated experience creating a testing environment to identify and improve bugs and efficiencies.
• Demonstrated experience programming in Python, PowerShell, and Java 8+.
• Demonstrated experience using Python and the PySpark library to read, write, and manipulate large structured and semi-structured datasets.
• Demonstrated experience using task tracking and version control technology to include JIRA and GitHub.
• Demonstrated experience using SQL and database technologies such as MySQL or SQL server.
• Demonstrated experience using and managing ElasticSearch clusters.
• Demonstrated experience tuning and optimizing ElasticSearch.
• Demonstrated experience creating and managing ElasticSearch indices.
• Demonstrated experience with Apache Spark and managing Spark clusters.
• Demonstrated experience tuning and optimizing Apache Spark.
• Demonstrated experience with the DataBricks platform and DataBricks API & CLI.
• Demonstrated experience understanding Hadoop Distributed File System (HDFS).
• Demonstrated experience understanding DataBricks File System (DBFS).
• Demonstrated experience with infrastructure as code (IaC) technologies including AWS Cloud Formation.
• Demonstrated experience using automated build tools such as Jenkins.
• Demonstrated experience implementing machine learning models on text and multimedia data such as Spark NLP and Computer Vision models.
• Demonstrated experience with Linux operating systems and shell scripting such as Bash.
• Demonstrated experience developing machine learning models on text data and structured datasets.

PREFERRED EXPERIENCE, SKILLS, AND EDUCATION:

• Bachelor’s degree in Engineering, Computer Science, Mathematics, Data Science, Statistics, or related field, or work experience in one of these areas.
• Demonstrated professional experience with cloud technology networks, digital forensics, or cybersecurity topics.
• Demonstrated experience using artificial intelligence and machine learning technologies/packages.

• As a team, work with a variety of individuals, including key stakeholders and other development teams while the client project manager manages priorities.
• As a team, be responsible for identifying, documenting, and communicating risks and mitigations across the designed system and reviewing the existing and designed system to identify gaps and minimize overlaps.
• Analyze project needs for alternative solutions, and identify needed layers and modules and how they work together for the system.
• Play a key role in the development and selection of backend database technologies and optimization of the database population to support content, volume, ETL, and periodicity of data.
• Review technical implementation strategies and plans, identifies inconsistencies and opportunities for improvement and communicates those results to the PM.