Senior Solutions Architect

Leads customer-facing deployment and integration of containerized Celonis solutions in complex enterprise and federal environments. Requires 5+ years of Kubernetes experience, infrastructure-as-code expertise, active government clearance, and strong communication skills.

About the job

Responsibilities

Lead complex technical discussions to assess customer architectures, recommend containerized solutions, and facilitate enterprise deployments.
Deploy and manage containerized applications in certain federal customer environments while coordinating with compliance and security engineering teams on POA&Ms.
Establish integrations between customer systems and Celonis using built-in extractors, APIs, and Python.
Guide customers on SSO, LDAP, user and group management, and provisioning best practices.
Remove technical barriers to adoption, communicate risks and trade-offs, and support executive customer discussions.
Document new integration and deployment scenarios.
Identify reusable platform enhancements and collaborate with Product Development.

Requirements

5+ years deploying and managing containerized applications on Kubernetes.
Advanced knowledge of a Kubernetes distribution such as Amazon EKS, Azure AKS, or Red Hat OpenShift.
Experience deploying, scaling, and maintaining highly available, secure, and resilient Kubernetes applications.
Active government clearance: Public Trust, Secret, or Top Secret, with 18 months–2 years of remaining eligibility.
Infrastructure as code experience, such as Terraform.
Customer-facing experience, project management capabilities, and strong communication skills.
Knowledge of enterprise application security and compliance.
Comfortable explaining complex technical concepts to broad audiences.

Nice-to-haves

Helm or Kustomize.
Argo CD, Jenkins, GitHub Actions, or Ansible.
AWS, Azure, or Google Cloud and their command-line interfaces.
REST/SOAP API management, Kafka or similar streaming technologies, SSO, LDAP, and Agile methods.
Python, SQL, data pipelines, and ETL processes for large data volumes.
GitHub and observability tools.
Familiarity with standard AI tools.

Compensation and Benefits

Base salary: $126,000–$149,000 USD for the Washington, D.C. location on a full-time schedule.
Total compensation may include base salary, bonus or commission, equity, and benefits.
Benefits include RSUs, paid parental leave, PTO, a flexible hybrid work model, learning and mentorship programs, Wellhub memberships, mental health counseling, wellness programs, and paid volunteer time.