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Cloud Engineer

Job in McLean, Fairfax County, Virginia, USA
Listing for: Bridge Core (BCore)
Full Time position
Listed on 2026-05-30
Job specializations:
  • IT/Tech
    Cloud Computing, Data Engineer, Systems Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below

Overview

Cloud Engineer
McLean, VA
TS/SCI with Poly

At Bcore, our strength comes from how we deliver impact to the mission. Whether it’s architecting critical IT solutions, producing actionable intelligence, or developing cutting edge technology, we succeed because of the expertise, collaboration, and agility of our teams. Our Mission Services division combines enterprise IT, cloud solutions, Dev Sec Ops , systems engineering, software development, and operational support. Bcore accelerates decisive advantage for warfighters and intelligence professionals by fusing human insight, rapid-fire engineering, precision‑measured outcomes, and relentless grit into mission‑ready solutions.

Do you want to join a team that is building tailored technical solutions to modernize our government’s mission and our client’s business? Do you have a desire to change how people work? Are you interested in helping to protect our nation’s cyber interests? Join our growing team supporting customer missions as a Cloud Engineer in McLean, Virginia
.

Responsibilities

This role focuses on designing, building, and managing data infrastructure across on‑premise and cloud environments. You will develop pipelines and algorithms to ingest and optimize large datasets, generate metrics to ensure data integrity, and build tools to monitor, automate, and deploy AI/ML models across existing analytics platforms. You will also lead cloud computing optimization efforts (leveraging tools like PySpark and distributed computing), design and implement microservices architecture, and support CI/CD processes across multiple environments.

The contractor will serve as a full‑stack technical enabler for the project's data science team — covering everything from system architecture and database administration to UX development and production support. This includes designing scalable platforms for data collection, analysis, and visualization, as well as owning end‑to‑end product development from concept through deployment.

Qualifications

Required Qualifications:

  • Demonstrated experience inthe development, customization,and use of developingapplications for analysis.
  • Demonstratedexperiencewithcloudmicroservicesandtools,suchas

    S3,RDSes,andEC2
  • instances.
  • Demonstrated experience managing

    Structured Query Language  (SQL) databases withincloud based relational databases; specifically, populating SQL database (MySQL and Postgres) with new schemas, mapping between different SQL databases, and streamlining data discovery.
  • Demonstrated experience implementing andautomating

    Nifiworkflows for Extract-Transformloadprocesses,aswellascustom

    Pythonor

    Javacodewhenappropriate.
  • Demonstrated experience creatingoperating system levelscripts to perform ETLoperations on SQL databases.
  • Demonstratedexperiencewithversioncontrolsystems,specifically

    Git.
  • Demonstratedexperiencewith Java Script ,CSS,HTMLS,and Flask.
  • Demonstrated experience usingcontainerizationsuch as Docker or developing and deployingcontainerized applicationsordatabases.
  • Demonstratedexperiencewithuser-centered design principlesandpractices,webstandards,
  • typographyandcolor,andwebusabilitystandards.
  • Demonstrated experience Anaconda,Bash,and Terraformfordevelopmentpurposes.
  • Demonstratedexperiencebuildingandmaintaining Cl/CDpipelineswithsoftwaresuchassource control (Git/Git Hub), continuous build/delivery(Jenkins), issue management(Jira), and documentation/collaboration(Confluence).
  • Demonstratedexperiencewithautomatedtestinganddeploymentofinfrastructureor
  • configurations.
  • Demonstrated experience in the administration,provisioning, anduse ofcloud technologies (i.e.AWS) particularly with application of data science approaches in the cloud.
  • Demonstrated experienceoptimizingconnectivity between cloud-based services and on prem high performance cloud compute servers.
  • Demonstratedexperiencecreatingandmaintainingsystemsandarchitecturaldocumentation
  • Demonstrated experience with provisioning and management of cloud compute resources and services, such as AWS, Azure, or similar.
  • Demonstratedprofessionalproficiencywiththefollowingcodinglanguages:

    SQL,PL/SQL,
  • Python,Java.

Desired

Qualifications:

  • Demonstratedexperiencein Computer Science ,Computer Engineering,Systems Engineering,or closelyrelateddiscipline.
What you can expect from us

BCore is proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law.

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