Verily

Senior Software Engineer, Platform Engineering

Verily
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2 years ago
Mountain View, CA, USASenior
H1B sponsor

Base Salary

$148k - $210k/yr

Responsibilities

  • Own the technical design and implementation of significant platform capabilities.
  • Develop cloud-native capabilities using open-source components and related tools.
  • Scope tasks and set priorities for team members contributing to assigned objectives.
  • Drive high-quality implementation and production practices, including monitoring, frequent releases, and reliable CI.
  • Guide junior engineers and contribute to design reviews, roadmaps, user-facing feature prioritization, and team processes.

Requirements

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience in software engineering.
  • At least five years of experience developing and maintaining reliable, scalable, and secure production products and services in Go, Python, C++, or similar languages.
  • Experience with cloud technologies or providers such as Google Cloud Platform, Amazon Web Services, or Azure, and tools such as GitHub Actions, Kubernetes, ArgoCD, or Backstage.
  • Strong foundation in data structures, algorithms, and system design, with analytical and debugging skills.
  • Strong communication skills for gathering requirements, defining problem scope, and documenting system designs.
  • Preferred: experience with Google Cloud Platform and Kubernetes, microservices, software delivery platforms, DevSecOps, continuous integration, release management, centralized developer platform teams, and developer experience.

Benefits

  • Flexible work arrangements and resources supporting whole-person well-being.
  • Competitive benefits package.
  • Inclusive culture focused on belonging and equitability.

Categories

Verily

About Verily

1,001-5,000 employees

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.

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