Benefits at QRC

QRC offers a unique compensation package that gives our employees maximum flexibility that is unmatched by other employers.

Flexible Pay Plan

Use the benefits you want and get cash for the ones you don’t.

Premium Insurance Coverage

Top-tier Health Insurance, Dental, and Vision plans with CareFirst Blue Cross/Blue Shield.

Financial Security with 401(k)

Generous employer 401(k) direct contribution (no matching, no vesting required).

Company-sponsored Training

Annual training, conference, and/or certification budget for each employee.

Telework Opportunities

Gain peace of mind working from home during today's ever-changing marketplace.

Internal IP Development Opportunities

Develop prototypes with cutting-edge technologies alongside a talented staff.

Careers at QRC

QRC is always looking to acquire the best and brightest Software Engineers, Systems Engineers, and Data Scientists.

Software Engineer

Design, build, and ship software for our customers.

At QRC our team specializes in software engineering expertise to design and build enterprise-scale applications. Ranging from UI/UX solutions to distributed processing systems, the QRC team tackles the tough and unique problems of our customers by applying the latest and greatest methodologies.
  • Lead the design and implementation of features with an obsessive focus on solving customer problems and operational excellence
  • Work with senior members of technical staff to drive architectural and best practices decisions
  • Write code and pair with engineers (more coding responsibilities when the team is small)
  • Grow and retain a team of talented, cross-discipline engineers
  • Manage your team's roadmap in collaboration with product managers and designers
  • Establish team goals and objectives
  • Strong background in object-oriented or functional programming with Java, JavaScript, C/C++, Python, or Rust
  • Experience designing and developing APIs at scale
  • Experience with AWS services related to compute, storage, and event-driven applications
  • Experience with Serverless Framework or serverless development concepts
  • Experience with databases such as MySQL, PostgreSQL and working with an ORM
  • Full-stack web development, including TypeScript/NodeJS, web-standards, and modern frameworks
  • Demonstrates a track record of delivering impactful technical projects
  • Expertise in building highly available production services, including deployment automation, infrastructure-as-code, monitoring, and scaling
  • Good understanding of containers, build systems, and infrastructure automation with tools such as Docker and Kubernetes
  • Programming languages such as Java, TypeScript/JavaScript, Python, C/C++, Rust
  • Container technologies such as Docker, Kubernetes
  • Experience working in Linux environments
  • Source and version control with git

Systems Engineer

Assess systems, determine their problems, and provide solutions.

At QRC our team applies systems engineering principles throughout the systems life cycle phases: Concept, Development, Production, Utilization, Support, and Transition & Decommission. We interact daily with the supported customer regarding technical considerations and requirements management to prevent issues or conflicts. At QRC our team is responsible for the technical integrity, quality, and completeness of work performed and deliverables for our customers and partners.
  • Stakeholder Requirements Definition, Requirements Analysis, Architectural Design, Implementation, Integration, Verification, Transition, Validation, Operation, Maintenance, and Disposal;
  • Project Planning, Project Assessment and Control, Decision Management, Risk Management, Configuration Management, Information Management, and Measurement;
  • Project Portfolio Management, Infrastructure Management, Lifecycle Model Management, Human Resource Management, and Quality Management.
  • Varies depending on the level of system engineering to be performed, but generally an engineering degree from an accredited university or four years of system engineering experience.
  • Perform analysis of technical alternatives for a project and make preliminary recommendations.
  • Independently analyze, and recommend alternatives for elements of project’s technical design.
  • Supervise or coordinate the work of other contractor engineers or technicians on a project.
  • Analyze and propose appropriate engineering standards and processes for a project.

Data Analyst/Scientist

Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets.

At QRC our team provides expert level solutions for collection, storage, and interpretation of massive data volumes in support of the most challenging customer mission needs. Our team works in the most complex data processing and storage environments including leveraging the latest commercial technologies.
  • Collecting data through means such as analyzing mission results or by setting up and managing new studies
  • Transferring data into a new format to make it more appropriate for analysis
  • Creating new, experimental frameworks to collect data
  • Building tools to automate data collection
  • Searching through large data sets for usable information
  • Creating reports and presentations for mission uses
  • Correlating similar data to find actionable results
  • Ideal candidate should have a degree in a quantitative field [website] mathematics, computer science, physics, economics, engineering, statistics, operations research, quantitative social science, etc.).
  • Basic Knowledge on software development principles and architecture.
  • Good analytical and problem-solving abilities.
  • Varies depending on the level of system engineering to be performed, but generally an engineering degree from an accredited university or four years of system engineering experience.
  • Ability to break down and understand complex business problems, define a solution and implement it using advanced quantitative methods.
  • Familiarity with programming for data analysis; ideally Python, SQL, or R.
  • Solid oral and written communication skills, especially around analytical concepts and methods.
  • Knowledge of Cloud technologies such as AWS or Google Knowledge of any relational database such as My SQL.
  • Experience with Hive and Pig