Senior Software Engineer, Infrastructure

Hover • San Francisco, CA

1d • Hybrid

About The Position

You are a strong software engineer with an affinity for cloud infrastructure. An individual who is eager to learn about and solve a diverse set of infrastructure problems that are unique to a company that deals heavily with 3D data, computer vision, and machine learning. Someone who likes building internal tools and who thinks finding a simple solution to a hard problem is a high form of art. You are comfortable keeping up with an industry that is changing rapidly.
The Infrastructure team interacts with or owns everything past the application binary. The rest of engineering is our customer. Through automation, we strive to have the easiest path be the fastest and most secure path. We own, maintain, and advise on all cloud infrastructure such as our Kubernetes environment, databases, network, storage, and cache. All of engineering are our peers and we work with them to form consistent patterns for solutions to common architectural challenges around rich geospatial and machine learning workloads. We have a strong command over best practices for cloud architecture and CI/CD and use application development as a means to apply them.
You will contribute by
Helping us build boring solutions to interesting problems while improving the platform that engineering teams build on.
You will work closely with engineers across the company to make their applications faster to deploy, easier to operate, and more reliable in production. You’ll collaborate with frontend, backend, computer vision, data, security, and machine learning teams to bring new ideas to production at scale. Because the team is small and highly collaborative, the work is varied and high-impact. You might be:
Designing scalable cloud architecture
Improving CI/CD pipelines or developer tooling
Building Kubernetes platform capabilities
Writing Helm charts or deployment automation
Optimizing Docker images and container workflows
Provisioning infrastructure using Terraform in GCP
Improving observability, reliability, or security posture
Your work will directly improve the developer experience at Hover while helping build the platform that powers our computer vision and machine learning systems.

Requirements

• 5–8+ years of professional software engineering experience, with meaningful time spent building or operating infrastructure, platform, or distributed systems
• Strong software engineering fundamentals with production experience in Go, Python, or Ruby
• Proven experience working with Kubernetes, including deploying and operating containerized workloads in production environments
• Hands-on experience with containerization technologies such as Docker, including building and optimizing container images
• Experience using Infrastructure as Code tools such as Terraform (strongly preferred), or configuration management tools like Ansible or Chef
• Experience working with cloud platforms such as GCP or AWS, with willingness to learn or deepen expertise in GCP
• A systems-oriented mindset; you think about reliability, observability, failure modes, and scalability when designing infrastructure
• Experience collaborating with engineers across teams to design platform capabilities or improve developer experience
• Comfort working across multiple parts of the infrastructure stack and learning new tools, technologies, and practices as the platform evolves

Responsibilities

• Designing scalable cloud architecture
• Improving CI/CD pipelines or developer tooling
• Building Kubernetes platform capabilities
• Writing Helm charts or deployment automation
• Optimizing Docker images and container workflows
• Provisioning infrastructure using Terraform in GCP
• Improving observability, reliability, or security posture

Benefits

• Compensation - Competitive salary and meaningful equity in a fast-growing company
• Healthcare - Comprehensive medical, dental, and vision coverage for you and dependents
• Paid Time Off - Unlimited and flexible vacation policy
• Paid Family Leave - We support work/life balance and offer generous paid parental and new child bonding leave
• Mandatory Self-Care Days - A day set aside each month to allow employees to recharge
• Remote Wellbeing Resources - We provide recurring fitness classes, meditation/ mindfulness tools, virtual therapy, and family planning assistance
• Learning - We encourage continued education and will help cover the cost of management training, conferences, workshops, or certifications

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed