As the Senior DevOps Lead, you will be a key leader in our engineering organization, reporting directly to the Director of Platform. You will be responsible for managing our AWS infrastructure, automating deployment processes, and ensuring strict compliance with industry standards such as SOC2 and HIPAA. As we prepare for massive enterprise scaling—including a 1-million-user state-wide rollout and integrations with Fortune 500-level clients—this role involves maintaining high availability, scalability, and security of our cloud environment. You will work closely with our global engineering teams (operating primarily on EST) and our leadership team (PST) to streamline our development and release cycles. This is a high-ownership role with a direct impact on engineering velocity and enterprise trust.
Our Technical Environment: You’ll operate across a modern, evolving stack that includes:
- AWS (EC2, ECS, RDS, S3, CloudFront, Lambda, IAM, VPC) and Terraform
- GitHub Actions as our primary CI/CD platform
- Docker-based containerized services
- Kubernetes for scalable and reliable container orchestration.
- Familiarity with Jenkins is needed to support and maintain legacy build and deployment pipelines.
- MongoDB and MySQL data stores
- ETL and enterprise reporting pipelines
- React and React Native applications
- Node.js backend services
- Enterprise integrations (SSO, SCIM, payroll systems, rewards providers)
- Experience with Azure AD and Okta is required for identity and access management solutions.
- AWS Transfer Family to enable secure and managed file transfer services.
- SOC2 Type 2 and HIPAA-aligned environments
- Microsoft Intune (MDM/MAM) for automated device provisioning and policy enforcement.
- Zscaler (ZIA/ZPA) for secure access service edge (SASE) and private application connectivity.
- Centralized security dashboards and SIEM integrations for real-time threat monitoring
We are actively modernizing toward:
- Infrastructure as Code across all environments
- Fully automated deployments with rollback strategies
- Improved microservice boundaries
- Strong observability with SLO-driven monitoring
- AI-assisted DevOps automation
We believe in AI-first DevOps, not manual. We are not looking for someone to maintain pipelines. We are looking for someone to evolve them.