LeidosLE

Data Driven Software Developer

Leidos is an American defense, aviation, information technology, and biomedical research company that provides scientific, engineering, systems integration, and technical services to government and commercial customers.

Leidos

Employee count: 5000+

Salary: 68k-122k USD

United States only

The Leidos Digital Modernization Group seeks a Software Developer with a data background to support the Global Management Systems (GMS) Team for the Global Solutions Management – Operations II (GSM-O II) contract. This contract includes the Operations, Sustainment, Maintenance, Repair and Defense of the Defense Information System Network (DISN) within the DOD Information Network (DODIN) in support of the Defense Information Systems Agency (DISA). It also includes support to other key tasks for DISA, including the transformation of DISA’s operational mission through innovation, and support to DISA’s mission partners.

Candidate must be within driving distance of Fort Meade or Scott AFB.

The candidate will be responsible for designing and developing software for multiple GMS Innovations portfolio projects, ranging from technical design and implementation for a variety of AI solution capabilities to integrating various data sources into Confluent (Kafka) and Elastic platforms, supporting the development of robust integration solutions, and adhering to the program’s CI/CD processes and data governance practices. The role requires experience in full software lifecycle automation, with interest in developing innovative AI technologies for the customer and data integrated solutions in a multi-site, multi-cluster cloud environment.

As a GMS team member, you will work as part of a fast paced, Agile development and implementation team to architect, design and develop an integrated solution that expands the foundational Integrated Data Architecture platform (Confluent and ELK platform). You will work alongside others in a matrixed organization across the project.

Primary Responsibilities:

  • Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL.
  • Create Kibana visualizations and dashboards, including using machine learning capabilities and React.
  • Develop Kafka system integrations between Elasticsearch/Logstash and other systems.
  • Develop AI/ML Pilot solutions
  • Develop Predictive Analytics solutions
  • Develop robotic process automation (RPA) bots.
  • Deploy, configure, test, troubleshoot, and maintain updates/upgrades of Kafka and Elastic clusters and environments.
  • Develop automated tests using Ansible, Selenium, JMeter, Junit and/or other applicable tools.
  • Develop automated CI/CD build/deployment pipelines using Jenkins, Artifactory, Kubernetes, Docker, Ansible and Bitbucket.
  • Collaborate with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team.
  • Troubleshoot and resolve installation, infrastructure and system issues.
  • Independently report, monitor, and mitigate technical risks.
  • Communicate and collaborate with other team members to ensure successful completion of project objectives.

Basic Qualifications:

  • Bachelor’s degree from an accredited college in a relevant technical discipline and 2+ year of related experience obtained through any combination of coursework and internships.
  • Must hold an active interim Secret DoD Security clearance or higher.
  • Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of start date.
  • Software development experience with Python, Java and SQL. Working knowledge of HTML and JavaScript.
  • Experience with distributed version control software such as Git and Bitbucket.
  • Knowledge of and ability to apply principles, theories, and concepts of Software Engineering.
  • Experience developing software on a UNIX command line platform.
  • Strong communication skills that enable proactive and effective collaboration with a virtual team.
  • Basic understanding of event streaming and Kafka integration.
  • Basic experience in application integration design and strong communication skills for collaboration with virtual teams.

Preferred Qualifications:

  • Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Experience with artificial intelligence and machine learning techniques, combined with interest in building AI capabilities .
  • Experience in data integration, storage, and analysis technologies like Kafka, Elastic, Spark, and NiFi.
  • Experience with Kafka connector integrations, custom connector development and an understanding of core concepts and working experience with ksqlDB and Kafka Streams.
  • Experience in developing software detailed designs, particularly for ksql or kstreams.
  • Experience developing Kafka system integrations between Elasticsearch/Logstash and other systems.
  • Experience designing and implementing application deployment pipelines and developing software in a containerized environment with Kubernetes and Docker.
  • Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Familiarity with developing and deploying software in an AWS cloud environment, including the configuration of cloud infrastructure, networking and security policies (GovCloud is a plus).
  • Full software lifecycle automation experience (design, development, test, deployment), including deployment to a production environment.
  • Experience designing and building automated software testing pipelines using Ansible, Selenium, JMeter, Junit and/or other applicable tools.
  • Experience developing and deploying software in a DoD environment (DISA experience is a plus), including experience building and deploying software applications that meet DoD security standards, including updating applications and code to meet security scans and meeting security implementation guidelines (e.g. STIGs).
  • Develop DoD requirements, traceability, and detailed plans/schedules. Write software systems engineering documents and interface documents (IDDs/ICDs).
  • Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Experience working remotely with a geographically dispersed team.

Original Posting:

April 8, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $67,600.00 - $122,200.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About the job

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Posted on

Job type

Full Time

Experience level

Mid-level

Salary

Salary: 68k-122k USD

Location requirements

Hiring timezones

United States +/- 0 hours

About Leidos

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Leidos' story begins in 1969 when Dr. J. Robert Beyster, a visionary scientist, founded Science Applications Incorporated (SAI) in La Jolla, San Diego, California. With a modest investment and a powerful idea, Dr. Beyster embarked on a journey to apply scientific expertise to solve complex problems. The company's early days were marked by a focus on research and engineering, tackling challenges for various government and commercial clients. One of its initial significant projects involved studying radiation-based cancer therapy for the Los Alamos National Laboratory, which laid the groundwork for Leidos' future health business. SAI soon expanded its reach, opening an office in Albuquerque to support the Air Force Weapons Laboratory's work on electromagnetic phenomena, a precursor to the company's Physical Science Group.

Throughout the 1980s, the company, then known as Science Applications International Corporation (SAIC), strategically shifted its focus towards national security and defense, solidifying its position as a key government services provider. This era set the stage for substantial growth and diversification. The 1990s saw SAIC continue to expand its offerings and international presence, securing its first major global contract with the Kuwaiti Defense Forces. A pivotal moment arrived in 2013 when SAIC underwent a significant transformation, splitting into two independent, publicly traded companies: a new company retaining the SAIC name and the original company, which was rebranded as Leidos (a name derived from 'kaleidoscope'). Leidos, as the legal successor to the original SAIC, inherited its pre-2013 stock price and corporate filing history and established its new headquarters in Reston, Virginia. This strategic move allowed Leidos to sharpen its focus on national security, health, and engineering solutions. Another major milestone occurred in August 2016 when Leidos merged with Lockheed Martin's Information Systems & Global Solutions (IS&GS) business, a landmark transaction that created the defense industry's largest IT services provider and significantly expanded Leidos' capabilities and market share. Today, Leidos stands as a Fortune 500® global science and technology leader, employing approximately 47,000 people worldwide and generating billions in annual revenue, committed to making the world safer, healthier, and more efficient through innovation and technology.

Employee benefits

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Paid sick days

Leidos offers paid sick days.

Health Insurance

Leidos offers health insurance.

Dental Insurance

Leidos offers dental insurance.

Vision Insurance

Leidos offers vision insurance.

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Leidos hiring Data Driven Software Developer • Remote (Work from Home) | Himalayas