Senior Engineer

1 year ago

Responsibilities

Lead critical system rewrites to create a scalable and resilient architecture.
Design, optimize, and scale data storage systems for customer and AI workloads.
Build and evolve deployment pipelines for reliable automated releases.
Set up and manage cloud infrastructure using Infrastructure as Code.
Establish engineering practices for observability, incident response, system hardening, analytics, and monitoring.
Support customer onboarding and integrations while improving internal tools and processes.
Mentor engineers and help raise team capabilities across infrastructure, scalability, and AI product development.

Bachelor’s or master’s degree in Computer Science, Engineering, or a related technical field.
At least 3 years of experience building production-grade software systems focused on scalability, performance, and reliability.
Strong backend development experience with Node.js, including API design, system architecture, and cloud-based services.
Experience with AWS, GCP, or similar cloud infrastructure and Infrastructure as Code tools such as Terraform or Pulumi.
Hands-on experience with database design, performance tuning, and scaling high-throughput data systems.
Familiarity with CI/CD pipelines, automated testing, and modern DevOps practices.
Strong communication skills and ability to work effectively in a distributed, fast-paced environment.
Comfort operating in an early-stage, high-ownership environment with evolving requirements.
React and TypeScript experience is a bonus.
Exposure to LLM-based systems, AI infrastructure, or agentic AI workflows is a bonus.

Health, dental, and vision insurance.
Gym and workspace stipends.
Computer and workspace enhancements.
Unlimited paid time off.
Opportunity to play a critical role in building the company’s technical foundations and engineering culture.
Customer interaction and occasional travel to customer offices may be required; the company operates in a distributed environment.

51-200 employees