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Senior Data Dog Engineer

Vega Consulting Solutions
Washington, DC Full Time
POSTED ON 3/25/2025 CLOSED ON 4/3/2025

What are the responsibilities and job description for the Senior Data Dog Engineer position at Vega Consulting Solutions?

Job Details

Vega Consulting Solutions is hiring a Lead Data Dog Systems Engineer to support the Systems Monitoring initiatives for our direct client. Must be in a commutable distance Wash. DC office.

  • Responsible for software tool administration for systems and applications monitoring tools. Expertise with at least one of the Monitoring tools like DataDog.
  • DataDog Administration experience on Linux platform to instrument Java based applications running on Tomcat Application Server.
  • Configuration experience in Infrastructure Monitoring, Network Monitoring and Centralized Logging.
  • similar Administration experience with ELK Stack Elasticsearch (search and analytics engine), Logstash (ingest pipeline) and Kibana (visualization and creating dashboards).Strong Linux platform (Red Hat) background.
  • Automation experience with scripting (Python, Shell, ANSIBLE) preferred.
  • Understanding of SSL setup on Linux servers. Installing CA certs etc.
  • Experience with Network Monitoring and knowledge on Network components like Switches, Routers, Palo Alto Network utilization SNMP, F5 Load Balancers, WebSeal, Info Blocks, Gigamon, Network Mapping is a plus.
  • Working knowledge of other monitoring tools like Big Panda, CloudBeat (Synthetic Monitoring) is desired. These tools are used to monitor applications and business transactions that impact the business and customers, currently.
  • Responsibilities include script writing, installing, managing, and maintaining the monitoring tools, as needed, as well as integration with other tools and collaboration with other groups and their tools.

Specific Required Skills:

  • 5-8 years strong IT experience and good working knowledge of a variety of technology platforms in a distributed environment including: Microsoft systems (e.g. Windows 2012 and 2016 Server, Active Directory, Exchange, SharePoint), Linux/Unix, VMWare, SQL Server, database architectures, TCP/IP, VPNs, Mainframe, LAN/WAN technologies and architectures
  • A minimum of 3 years hands-on experience installing, integrating, managing and maintaining monitoring tools like Data Dog administration and support.
    Or similar Log Management experience with ELK Stack Elasticsearch (search and analytics engine), Logstash (ingest pipeline), and Kibana (visualization and creating dashboards)
    Experience in writing Shell, Python, Selenium, VuGen scripts
    Experience with SSL certs, encryption methods on Linux
    Experience in developing and implementing systems monitoring and alerting strategies in diverse, large-scale environments
    Experience developing and documenting processes, procedures, and policies for tool usage and integration
    Author tool maintenance and training documentation as well as support requests for training on tool usage
    Knowledge and experience with configuring alerts, dashboards and ad-hoc reports
    Strong understanding of service level management (SLAs, SLRs, etc.)
    Determine and document tool backup and recovery procedures
    Experience with data management tools and databases (e.g., DB2, SQL -familiarity desired)
    Experience in systems and Java applications troubleshooting using monitoring tools like DataDog
    Understanding and experience with both waterfall and agile Software Development Life Cycles (SDLC)
    Bachelor of Science in Computer Science or related field (i.e., Engineering, Applied Science, Math, etc.) or equivalent experience.
    Experience with SAFe agile methodologies

Do you have the Data Dog Expertise? Are you in a commutable distance to Wash DC? If so, Select Apply Now and a Vega Consulting Staffing Specialist will reach out to you.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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