almost 2 years ago
Mountain View, CA, USAMid Level / Senior
H1B sponsor
Base Salary
$125k - $178k/yr
Responsibilities
- Design and develop platform capabilities using cloud-native open-source components such as Kubernetes, Backstage, ArgoCD, and Terraform.
- Scope tasks and set priorities for team members contributing to shared objectives.
- Drive high-quality implementation and production best practices, including monitoring, frequent releases, and reliable CI.
- Collaborate with engineers on system architecture and integrations.
- Manage project priorities, deadlines, and deliverables.
Requirements
- Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience in software engineering.
- 3–5 years of experience developing and maintaining reliable, scalable, and secure production products and services.
- Experience with Go, Python, C++, or similar programming languages.
- Experience with cloud technologies such as Google Cloud Platform, Amazon Web Services, or Azure.
- Experience with or familiarity with GitHub Actions, Kubernetes, ArgoCD, Backstage, or related tools.
- Strong foundation in data structures, algorithms, and system design, along with analytical and debugging skills.
- Strong communication skills for deriving requirements, defining problem scope, and documenting system designs.
- Preferred experience with Google Cloud Platform and Kubernetes.
- Preferred experience with microservices, software delivery platforms, DevSecOps, continuous integration, and release management processes.
- Preferred experience working on a centralized developer platform team and a strong focus on developer experience.
Benefits
- Flexible work support and resources for whole-person well-being
- Competitive benefits
- Inclusive culture with opportunities for growth
Tech Stack
About Verily
Verily builds AI-enabled precision health software and data platforms for health systems, life sciences, and public health organizations. Its products organize multimodal clinical data, support regulated research and clinical studies, and power disease-management and population-health workflows. Founded in 2015, the company sells software and services that make healthcare data AI-ready and interoperable across care, research, and public-health use cases.