Software Engineer

Job highlights
Identified by Google from the original job post
Qualifications
The ideal candidate is a hands-on developer with significant
experience in scalable data platforms, cloud-based services, and big data analytics
Active TS/SCI clearance with polygraph required #qinetiqclearedjob
Bachelor's Degree in Computer Science, Information Technology, or other related technical discipline, or the equivalent combination of education, technical certifications, training, and work/military experience
Demonstrated hands-on experience with Python, Git, and unit testing frameworks
Demonstrated hands-on experience working with AWS Athena
Demonstrated hands-on experience with building APIs and services using REST
Demonstrated hands-on experience with AWS Glue
Demonstrated hands-on experience with PRESTO, Trino, or Apache Spark
Demonstrated hands-on experience with AWS CDK 1 and/or 2
Demonstrated hands-on experience with cloud-based Lambda functions
Demonstrated hands-on experience with reverse proxy solutions e.g NGINX
Responsibilities
QinetiQ US is looking for a Software Engineer to design, develop, code, test, and debug complex software products to be
deployed in a mission critical environment
Work with a team to write new cloud-based applications and tools, and recommend new technologies and methodologies to improve system performance and usability
Design, develop, test, debug, and deploy new software tools that extend or replace existing capabilities to parse raw data for analysis
Collaborate cross-functionally with data scientists, analysts, project managers and other engineers and technical SMEs
Deploy new software into an AWS-based data ingest pipeline
Write software that interacts with multiple data types and stores data into S3 buckets that is queried by processes running on EMR clusters
Troubleshoot complex problems and provide support to mission areas for software systems and application issues
Maintain good documentation for new software written and new procedures to be followed
Provide recommendations for continuous improvement
Work alongside other engineers on the team to sustain and advance our organization’s capabilities
Job description
We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50+ locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems. In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

QinetiQ US is looking for a Software Engineer to design, develop, code, test, and debug complex software products to be

deployed in a mission critical environment. The ideal candidate is a hands-on developer with significant

experience in scalable data platforms, cloud-based services, and big data analytics.

Responsibilities
• Work with a team to write new cloud-based applications and tools, and recommend new technologies and methodologies to improve system performance and usability.
• Design, develop, test, debug, and deploy new software tools that extend or replace existing capabilities to parse raw data for analysis.
• Collaborate cross-functionally with data scientists, analysts, project managers and other engineers and technical SMEs.
• Deploy new software into an AWS-based data ingest pipeline.
• Write software that interacts with multiple data types and stores data into S3 buckets that is queried by processes running on EMR clusters.
• Troubleshoot complex problems and provide support to mission areas for software systems and application issues.
• Maintain good documentation for new software written and new procedures to be followed.
• Provide recommendations for continuous improvement.
• Work alongside other engineers on the team to sustain and advance our organization’s capabilities.

Required Qualifications
• Active TS/SCI clearance with polygraph required #qinetiqclearedjob
• Bachelor's Degree in Computer Science, Information Technology, or other related technical discipline, or the equivalent combination of education, technical certifications, training, and work/military experience.
• Demonstrated hands-on experience with Python, Git, and unit testing frameworks.
• Demonstrated hands-on experience working with AWS Athena
• Demonstrated hands-on experience with building APIs and services using REST.
• Demonstrated hands-on experience with AWS Glue
• Demonstrated hands-on experience with PRESTO, Trino, or Apache Spark
• Demonstrated hands-on experience with AWS CDK 1 and/or 2.
• Demonstrated hands-on experience with cloud-based Lambda functions
• Demonstrated hands-on experience with reverse proxy solutions e.g NGINX

Preferred Qualifications
• Demonstrated hands on experience working with DynamoDB, or HIVE.
• Demonstrated hands-on experience with Parquet and/or ORC file formats.
• Demonstrated hands-on experience working with Hadoop, Apache Spark and their related ecosystems.
• Demonstrated hands-on experience working with cloud formation for automation.
• Demonstrated hands-on experience building and deploying software within a CI/CD pipeline
• Demonstrated hands-on experience with Linux-based systems and shell scripting.

Company EEO Statement

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, ****** orientation, gender identity, national origin, disability, or protected Veteran status.