Appian Software Integration Architect

verables.

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):

• Typically requires Bachelor's Degree and 12-15 years of prior relevant experience or Masters with 10-13 years of prior relevant experience

• Must possess an Active Top Secret/SCI clearance and ability to obtain and maintain Poly

• 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
• Experience with Appian
• Experience with Appian Self-Assembling Interface Layer (SAIL)
• 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/ 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

Original Posting Date:
2024-06-20
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 $122,200.00 - $220,900.00

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.