Software Engineer, DevOps

Ema•San Francisco, CA

1d•Hybrid

About The Position

We are seeking an experienced DevOps Engineer to join our growing team and play a pivotal role in designing and building our platform and infrastructure as we continue to scale our product and user base. As a part of our team, you will be working in a dynamic, fast-paced environment to ensure the reliability, scalability, and performance of our systems, while focusing on service architecture and deployment, query optimization, distributed systems, data and machine learning infrastructure, and security and authentication. Most importantly, you are excited to be part of a mission-oriented, fast-paced, high-growth startup that can create a lasting impact.

Requirements

3+ years of experience in Infrastructure engineering, or a similar role
Excellent problem-solving skills and the ability to work under pressure in a fast-paced environment.
Ability to work independently and as part of a team
Experience working with global teams

Nice To Haves

ML/OPs experience
Experience with Postgres query optimization and related performance improvement techniques.
Experience with event-driven data and machine learning infrastructure, including streaming pipelines, database systems, model training
Experience with air-gapped cloud environments or private clouds
Experience administering complex deployments on Azure, especially AKS

Responsibilities

Partner with product teams to architect, design, and build the foundational infrastructure for our products.
Design, develop, and deploy highly available and scalable Multi-tenant SaaS solutions on any one of the public cloud networks like AWS, Azure and GCP. Leverage technologies such as Kubernetes, Helm, Terraform, and Istio to achieve infrastructure resilience.
Drive the automation of infrastructure tasks, from provisioning to configuration management and deployment, utilizing tools like Terraform, Ansible, and Kubernetes.
Collaborate closely with the software development team to refine CI/CD pipelines, e.g., using GitHub Actions and Cloud Build tools, enhance service interfaces, and improve the overall developer experience.
Architect and implement advanced observability solutions using tools like Prometheus and Grafana. Ensure real-time alerting and error tracking with Sentry and Pagerduty to maintain system health and performance.
Deploy comprehensive testing frameworks, including tools like Selenium for end-to-end testing. Ensure robust integration and system testing to maintain software quality.
Performance Analysis: Regularly monitor system health, analyze performance metrics, and recommend enhancements. This includes optimizing database queries and ensuring peak database performance.