Data Driven Software Developer
4 weeks ago
Leidos is seeking a skilled Data Driven Software Developer to join our team in support of the Global Solutions Management – Operations II (GSM-O II) contract.
Job Summary:We are looking for a talented software developer with a strong background in data to design and develop software for multiple GMS Innovations portfolio projects. The ideal candidate will have experience in full software lifecycle automation, with a focus on developing innovative AI technologies and data integrated solutions in a multi-site, multi-cluster cloud environment.
Key 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.
- Bachelor's degree from an accredited college in a relevant technical discipline and 2+ years of related experience.
- 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.
- 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.
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