Senior Software Engineer, Panorama Education

• Experience: 5+ years designing and operating cloud infrastructure in production environments
• Deep experience with AWS (e.g., EC2, RDS, ECS/EKS, networking, IAM)
• Infrastructure as Code: Strong proficiency with Terraform or CloudFormation
• Containerization & Orchestration: Hands-on experience with Docker and Kubernetes
• Databases: Experience maintaining and tuning PostgreSQL or similar systems in AWS RDS
• Continuous Delivery: Familiarity with CI/CD systems (Buildkite, Jenkins, or GitHub Actions) and deployment automation
• Observability & Monitoring: Strong knowledge of tools like Datadog, CloudWatch, or Prometheus
• Collaboration: Ability to work effectively with cross-functional teams, sharing expertise and influencing decisions within the squad
• Problem-Solving: Proven ability to deliver high-complexity infrastructure work requiring deep domain knowledge and analytical skill

Desirable

• In Panorama’s Platform/SRE Team, you will bring deep expertise in cloud infrastructure to design, build, and maintain the systems that power our platform. You’ll focus on scaling and securing our AWS-based infrastructure, managing Kubernetes clusters and RDS databases, and evolving our Infrastructure-as-Code and CI/CD practices
• You’ll take ownership of complex, high-impact infrastructure projects within your squad—driving improvements in scalability, performance, and developer experience—while sharing your knowledge to help teammates succeed
• This role blends hands-on engineering with squad-level technical leadership. You’ll collaborate closely with other engineers to deliver resilient systems, improve deployment processes, and ensure our infrastructure remains robust as Panorama grows
• Design, implement, and maintain cloud infrastructure supporting Panorama’s applications and services
• Own and deliver complex infrastructure projects—such as scaling clusters, improving deployments, and optimizing database performance
• Develop and maintain Infrastructure as Code (Terraform, CloudFormation) for reproducible, auditable environments
• Manage Kubernetes clusters and containerized workloads in AWS
• Operate and tune RDS databases, ensuring availability, performance, and cost efficiency
• Improve build and deployment pipelines, collaborating with engineering teams on CI/CD best practices
• Participate in a healthy, well-supported on-call rotation, focusing on proactive reliability and incident prevention
• Share knowledge and mentor teammates to strengthen collective understanding and technical excellence