Systems Engineer - Washington, United States - Leidos

Description

Description

Systems Engineer

Are you looking for an opportunity to make an impact?

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community. Our Mission, Vision, and Values guide the way we do business.

If this sounds like the kind of environment where you can thrive, keep reading

We are in search of a Systems Engineer to support an enterprise IT program within the Intelligence Community. The program requires a Systems Engineer to join a team providing support in automating processing of large forensic images, extract and enrich metadata, and display resulting information in meaningful ways for analysts to conduct their assessments.

Our client's organization provides technical solutions and capabilities which enable a cadre of analysts to make critical assessments, including a platform to conduct enterprise search, digital forensics, and data analytics. The client's organization is building a modern cloud-based system to replace a legacy standalone system and requires an infrastructure team that can work in a quick-paced, dynamic, agile software development environment. The team adheres to Agile Scrum development methodology best practices and has 2-week sprint cycles.

Are you ready to make an impact? Begin your journey of a flourishing and meaningful career, share your resume with us today

In this role you will:

• 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.

Clearance Required:

• Active TS/SCI with polygraph

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.

Original Posting Date:

While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.