Appian Software Integrator/Low Code Developer

Description

***Most work is 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.***

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 has an exciting opening for you as our next TS/SCI cleared Appian Software Integrator / Low Code Developer supporting DIA-NMEC under our 10-year DOMEX Technology Platform (DTP) contract. You will work closely with Systems Engineers, Software Engineers, Architects, and Operations Engineering/Manager on a broad scope of activities extending across the development of systems to include backend and frontend software engineering tasks. Have impact as part of a mission focused, solutions oriented, and adaptive team that values innovation, collaboration, and professional development.

You will work closely with the team on the following key tasks

• 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):

• Requires a 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 Poly
• Experience with Appian
• Experience with Appian Self-Assembling Interface Layer (SAIL)
• 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

You will wow us even more if you have some of these skills:

• 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., Promethe Graphana
  • GPU-based Kubernetes
  • SALT for deployment automation
  • Elasticsearch, Kibana, and Logstash, specifically admin experience
  • Helm and Helmfile
  • Cloudera usage, including Kafka topic creation/management, Zookeeper, Solr, and Flume
  • Nexus

#NMECDTP
Original Posting Date: 2025-01-21
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 $85,150.00 - $153,925.00

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.

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Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.