Appian SW Integrator/Low Code Developer

Are you ready to join Leidos all-star team? Through training, teamwork, and exposure to challenging technical work, let Leidos show how to accelerate your career path.

Leidos is designing, developing, deploying, and operating a DoD-wide Tasking, Collection, Processing, Exploitation, and Dissemination (TCPED) workflow management platform for Open Source Intelligence (OSINT).  As a TS/SCI cleared Appian SW Integrator / Low Code Developer on our team, you will play a critical role in ensuring the platform is built to maximize mission outcomes, is user-friendly, and adheres to IC standards, policies, and practices. 

We integrate off the shelf and new development efforts to sustain and enhance existing architecture and by leveraging cloud-based computing, artificial intelligence (Al), machine learning (ML) and cross-domain transfer systems to provide cutting edge requirements management, task coordination, data exploitation, enrichment, triage, and analytics capabilities to Defense and Intelligence Community members. Our program advances the state of the art in mission-focused big data analytics tools and micro-service development spanning the breadth of Agile sprints to multiyear research and development cycles. While the work is primarily conducted on-site at our client location in Bethesda, MD, we offer a flexible schedule and, occasionally, some tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.

As an Appian SW Integrator / Low Code Developer, you will work collaboratively with other developers, systems engineers, technologists, and program leadership with a focus on the following task areas:

Work with a team of system integration engineers to successfully deploy release candidates to production environment.

• Participate in test, staging and production deployment.
• Assist in the maintenance of services and procedures for a big data pipeline which includes Kafka, Elasticsearch, and several in house written python/java micro services running on Kubernetes
• Integrate Docker containers using Kubernetes, Rancher, Helm and other DevOpsSec integration tools
• Monitor automated system integration tests to identify failed modules and components
• Manage individual project priorities, deliverables, and deadlines
• Foster an environment of collaboration with the different team members in the goal of providing quality service and product to our customer

To be successful in this role you need these skills (required):

• Typically requires Bachelor’s Degree and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience
• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain a Polygraph
• Experience with Appian
• Experience with containerization, especially with Docker
• Experience with DevOps practices and tools including Continuous Integration/Continuous Delivery (CI/CD) tools and practices, especially Gitlab or Jenkins
• Experience with Agile practices
• Development and/or scripting experience, especially Python and Bash 
• Strong verbal and written communication skills
• Enthusiastic with the ability to work well on a team and a self-starter who can work on their own

• Experience with systems at scale
• Kafka or other message passing systems
• Experience on a production/ enterprise system
• Cloud infrastructure experience
• Experience with any of the following technologies:
  • Kubernetes monitoring, e.g., Prometheus/ Grafana
  • GPU-based Kubernetes
  • SALT for deployment automation
  • Elasticsearch, Kibana, and Logstash, specifically admin experience
  • Helm
  • Cloudera, Strimzi, Zookeeper, Solr, and Flume
  • Nexus

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Original Posting:

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:

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.