Software Integration Engineer

3 weeks ago

Odenton, Maryland, United States Leidos Full time
Job Summary

We are seeking a highly skilled Software Integration Engineer to join our team at Leidos. As a key member of our SA/COP team, you will be responsible for designing, developing, and implementing integration solutions to ensure a unified data integrated platform.

Key Responsibilities
  • Integration Solutions: Develop and implement integration solutions for the JMT project using Kafka and Elastic as the primary data architecture platforms.
  • Data Integration: Integrate data sources (ServiceNow, Terminal Cert DB, Modem Cert DB, Baseband Mission Workup, TRS, MRS, UDL) into Confluent (Kafka) and Elastic platforms.
  • Kafka Integration & Development: Develop Kafka system integrations, custom connectors, and work with ksqlDB and Kafka Streams for data processing based on the design solution.
  • Kafka Cluster Management: Deploy and manage Kafka clusters on Kubernetes in multi-site environments (both on-premise and cloud).
  • Software Lifecycle Automation: Automate the full software lifecycle, from design and development to testing and deployment, including production environments.
  • DevOps Pipelines: Design and build application deployment pipelines, including containerized environments using Kubernetes and Docker, and automated testing pipelines.
Requirements
  • Education: B.S. in Computer Science, Mathematics, Physics, Electrical Engineering, or Computer Engineering.
  • Experience: 5+ years of combined experience in Kafka, Java, RESTful services, AWS, and full stack development.
  • Programming Background: Software development experience with Python, Java, and SQL. Working knowledge of HTML and JavaScript.
  • Event Streaming & Integration: Advanced understanding of event streaming and Kafka integration.
  • Application Integration: Experience in application integration design and strong communication skills for collaboration with virtual teams.
  • Software Design: Experience in developing software detailed designs, particularly in ksql or kstreams.
  • Security Clearance: Ability to obtain interim Secret DoD Security clearance before the start date.
  • Certifications: Ability to obtain Security+ certification or equivalent DoD 8570 IAT II certification within 14 days of the start date.
Preferred Qualifications
  • Text Mining & ELK Stack: Experience with text mining tools and techniques, including ELK Stack for summarization, search, and entity extraction.
  • CI/CD & DevOps: Familiarity with CI/CD techniques, containerized pipelines, and DevOps practices.
  • Search & Analytics Applications: Experience with BI tools like Kibana and Splunk, and technologies like Elasticsearch, Logstash, Kafka, and NiFi.
  • Kubernetes & Agile: Familiarity with Kubernetes deployment, Agile methodologies, and tools.
  • Cloud Expertise: Familiarity with AWS GovCloud and cloud infrastructure, including networking and security policies.
  • Cross-Team Collaboration: Work within a matrixed organization, collaborating with project leadership and core GMS teams to combine software and integration practices with data engineering.
  • System Architecture & Operational Stability: Apply knowledge of system architecture, networks, and Centralized Logging (ELK) to support data transformation initiatives.
  • Cloud & DoD Environments: 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).
  • Agile Processes: Experience with Agile methodologies and related tools. Experience with Atlassian tools, including JIRA and Confluence.
  • Certifications: Certified Confluent Developer and Certified Elastic Engineer.
  • Remote Teamwork: Experience working remotely with a geographically dispersed team.

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