Appian Administrator

Job Description Job Overview Job ID: J51945 Job Title: Appian Administrator Location: McLean, VA Duration: 12 Months + Extension Hourly Rate: Depending on Experience (DOE) Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD Client: To Be Discussed Later Employment Type: W-2, 1099, C2C Description Must have experience managing and migrating Appian applications from Linux environment to cloud / Kubernetes. The ideal candidate will have strong expertise in Appian Containers and Kubernetes and be able to hit the ground running with minimal ramp-up time. Background in mortgage is preferred but not required. We are seeking an experienced Appian Administrator to support and lead the migration of Appian applications from an on-prem Linux environment to AWS EKS (Elastic Kubernetes Service). The ideal candidate has hands-on experience administering Appian environments, managing deployments, and working closely with DevOps and cloud engineering teams to design, implement, and stabilize containerized Appian solution in AWS. Key Responsibilities Manage, configure, and maintain multiple Appian environments (on-prem and cloud) Collaborate with infrastructure, security and DevOps teams to plan and execute migration from on-prem to AWS EKS Set up and manage Appian Docker containers, and Helm configurations. Oversee installation, patching, upgrades and hotfixes of Appian versions. Coordinate database migrations (e.g., DB2 to PostgreSQL) Ensure application and plugin compatibility post-migration Work with InfoSec for image scanning, vulnerability remediation, and compliance approvals. Support performance tuning, monitoring and troubleshooting across environments. Create and maintain detailed runbooks, SOPs, and architecture documentation. Required Qualifications 5+ years of experience as an Appian Administrator (versions 21.x or later) Proven experience migrating Appian from on-prem to containerized/cloud environments (preferably AWS EKS) Strong understanding of Linux administration, Docker, Kubernetes, Helm, and AWS services (ECR, S3, IAM, CloudWatch). Experience integrating Appian with enterprise services (LDAP, SSO, SMTP, database, secrets management) Kubernetes pods, Webhooks/Controllers Familiarity with Appian automation, deployment pipelines (CI/CD), and plugin management. Excellent troubleshooting, communication, and documentation skills. Experience working with EFS, ASM (Amazon secret manager), Appian operator/CRD. CloudFormation Templates, Terraform -- Equal Opportunity Employer MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract #J-18808-Ljbffr