Data Driven Software Engineer

Description

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. At a minimum, a Secret clearance is required upon the start of employment and within 14 days following the start date the employee must obtain their Security + certification.

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 4+ 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.

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.

The Leidos pay range for this job level is a general guideline onlyand 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.

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