Design, develop, test, release, and maintain scalable full-stack SaaS applications, backend services, APIs, integrations, and data-access components. Guide architecture and technical decisions, troubleshoot production issues, apply AI-assisted development tools responsibly, and collaborate across engineering, product, QA, UX, security, and compliance. Mentor developers and contribute throughout the software development lifecycle.

Own and improve CI/CD pipelines, build and release systems, deployment workflows, and engineering platforms for a 24/7 SaaS environment. Administer GitHub Enterprise Cloud and Actions, Argo CD, Octopus Deploy, Kubernetes, Docker Swarm, Terraform, and Azure resources. Automate delivery with PowerShell and Python, improve reliability through validation and rollback, troubleshoot build and deployment failures, support releases and on-call operations, and ensure security, HIPAA, and operational compliance.

Improve reliability, availability, scalability, observability, and operational automation for a 24/7 SaaS platform. The engineer will design and operate cloud-based systems, define SLIs and SLOs, manage Datadog observability, lead incident response, investigate distributed production issues, improve deployment safety and resilience, automate operational toil, manage infrastructure as code, and provide on-call technical support while maintaining security and HIPAA compliance.