Platform Architect

DXS - Direct Expansion Solutions

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States • Virginia

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Mid-LevelSenior

AnsibleCloudDistributed SystemsElasticSearchKubernetesLinuxPostgresTerraform

About the role

Define and own the cloud-native platform architecture to support multiple SaaS products.
Develop patterns for multi-product, multi-tenant deployment models.
Build scaling strategies to ensure resiliency, high availability, and performance.
Establish long-term standards for security, upgrades, lifecycle management, and governance in a containerized environment.
Define and implement CI/CD pipelines and automation strategies, leveraging Atlassian Bamboo, Bitbucket, and Jira where applicable.
Collaborate with DevOps to manage application deployment, scaling, monitoring, and upgrades.
Establish best practices for backup, recovery, and disaster recovery planning.
Ensure observability and monitoring frameworks (metrics, logging, tracing) are in place for proactive management.
Drive automation of infrastructure and platform provisioning with Infrastructure-as-Code.
Partner with product teams to ensure platform services align with business and customer needs.
Support product delivery teams by providing standardized platform services and tooling.
Directly contribute to customer success and faster product delivery by ensuring platform reliability and efficiency.
Serve as subject-matter expert for the SaaS platform and mentor engineers.
Collaborate with product teams, security, and operations to ensure platform alignment with business objectives.
Apply critical-thinking and problem-solving skills to challenge assumptions and refine strategies.

Hands-on expertise with Kubernetes and a proven track record designing and running containerized services in SaaS or PaaS environments.
Deep knowledge of scalability, multi-tenancy, high availability, and security in distributed systems.
Ability to define RBAC in Kubernetes to manage SOD for internal teams and control access to platform resources for customer access.
Strong background in backup/restore, lifecycle management, and upgrade strategies.
Experience with automation/IaC (Terraform, Helm, Ansible, GitOps).
Solid foundation in Linux, networking, and observability.
Experience with SAP BTP, Kyma, and Kubernetes in enterprise contexts.
Experience managing BTP services integrated with SAP BTP Kyma runtime (e.g., Cloud Logging, Connectivity/Destination Services, PostgreSQL).
Experience building platforms in multi-product SaaS/PaaS environments.
Experience migrating legacy enterprise workloads to cloud-native architectures.
Knowledge of compliance frameworks (SOC 2, ISO 27001) for SaaS platform operations.
Expertise in OpenSearch (or Elasticsearch) for AI/ML data processing and search workloads.
Familiarity with AI/ML integration patterns using search/indexing technologies.
Experience working with Atlassian Jira, Bitbucket, and Bamboo for issue management and CI/CD.
Resume must be uploaded in English.