• Sr. Systems Engineer

    Job Locations US-VA-Herndon
    Job ID
    2018-2307
    Category
    Information Technology
  • Overview

    By submitting your resume for this position, you understand and agree that ASEC may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.
    ASEC is an Equal Opportunity/Affirmative Action Employer.

    We consider applicants without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, or membership in any other group protected by federal, state or local law. Equal Opportunity Employer Minorities/Women/Vets/Disabled.

    Candidates must already possess a current and active TS/SCI with Poly clearance to be considered for this position

    Responsibilities

    This position will support the Sponsor’s IT Operations organization, which is responsible for Monitoring and Communicating IT Infrastructure Status; Managing IT incidents, IT Service Management, Developing Monitoring Application and Solution; Providing Help Desk and Application Support Services, Risk Management, and Cyber Security Response.

    The candidate selected for this position will support the Sponsor Technical Director to create a Data Analytic environment. It must have all the tools and a catalog of data and sources to be used for analyzing and identifying future patterns of failures. These patterns will be fed into Machine Learning to recognize future patterns of failures. It must contain a repository to store the analytic results and visualization tool to display them.

    The candidate will apply their knowledge of C2S to create scripts for standing up an instance for the above analytic run with different requirements of compute and storage. These scripts are well documented and ready to be called for execution from a code repository such as GitHub.

    The candidate must understand the Data Lake concept with all the data requirements, data update and access control. It will be created in C2S as needed to support the analytic runs.

    The sources of data as required above reside among others, in SPLUNK and Network management tools. The candidate must be comfortable navigating the environments above to identify the necessary data for the analytic runs.

    The candidate must be able to architect a production environment that receives live streaming data from different sources and a Hadoop-like engine such as SPARK to process the data to detect possible patterns of failure to alert IT Operations of incoming outages for it to apply corrective measure to prevent or mitigate the impact of outage.

    Finally the candidate will create a webpage to advertise the IT Operations Analytic Environment with the set of problems to be solved and available tools to use to attract the interest of Data Scientists to help achieve it.

    Responsibilities consist of but are not limited to the following:

    • Work with the Technical Director and staff to conceive, define and build a new environment for data analytics in C2S
    • Develop scripts to efficiently standup and teardown the cloud environment as the concept is further defined.
    • Assist in setting-up the Hadoop-like environment
    • Work with stakeholders throughout the organization to identify opportunities for leveraging organizational data to drive business solutions.
    • Mine and analyze data from the Sponsor’s databases to drive optimization and improvement of business strategies.
    • Define and create a repository for machine learning result storage
    • Use predictive modeling to increase and optimize customer’s business outcomes.
    • Develop processes and tools to monitor and analyze environment performance and data accuracy.

    Qualifications

    Required:

    • Demonstrated experience with: Data warehouse database and enterprise system architecture.
    • Adept at Amazon Cloud environment creation, assessment and authorization (A&A) approval, and maintenance.
    • Understand the concept of pedigree, reliability and confidence of data.
    • Familiar with data storage technologies
    • Understand enough of statistical research techniques to prepare and provide data to Data Scientists
    • Strong programming ability, including experience programming in one or more programming languages: Java, JavaScript, Python, R, SQL, etc.
    • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks to support the Data Scientists
    • Demonstrated strong negotiation, problem-solving and analytical skills.
    • Excellent communication, and interpersonal skills, and the ability to communicate effectively with third parties and internal staff at all levels of the organization.
      • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
      • Experience querying databases and using statistical computer languages, R, Python, SLQ, etc.
      • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
      • Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, SPARK, MySQL, etc.
    • Demonstrated ability to multi-task and work independently; self-starter
    • Active FSP clearances.
    • A Bachelor’s degree (or equivalent experience (3 years for Bachelors) in Computer Science, Information Systems, or a scientific discipline.
    • Minimum of 10 Years’ relevant experience, 3 years in Intelligence Community

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