Sr DevOps Engineer

SproutsAI; Menlo Park (CA); On-site; USD 100,000 - 130,000; Full time

Job summary

SproutsAI is seeking a seasoned DevOps Software Engineer in Menlo Park, CA, to enhance our GCP infrastructure. Your role will involve automating and securing our systems, using Terraform and Kubernetes for managing applications. The ideal candidate will require 4+ years of experience and a strong aptitude for performance and security in microservices.

Responsibilities include CI/CD pipeline automation, database management and implementing monitoring solutions. Join us in this exciting opportunity to bridge development and operations while ensuring high availability.

Qualifications

• 4+ years of experience in a DevOps, SRE, or Infrastructure Engineer role.
• Proven experience with Google Cloud Platform (GCP).
• Strong expertise in Terraform and Kubernetes (GKE).
• Proficiency in Docker and Helm.
• Strong scripting skills in Python.

Responsibilities

• Design, deploy, and maintain GCP infrastructure using Terraform.
• Manage, scale, and secure applications on Google Kubernetes Engine (GKE).
• Create and optimize CI/CD pipelines for microservices and React.JS applications.
• Implement and maintain autoscaling for backend services.
• Administer and optimize PostgreSQL, StarRocks, and RabbitMQ.

Skills

DevOps

Infrastructure as Code (IaC)

Google Cloud Platform (GCP)

Terraform

Kubernetes

Docker

Python

CI/CD

PostgreSQL

Tools

GitHub Actions

Jenkins

Prometheus

Grafana

ELK

Job description

Overview

We are looking for a seasoned DevOps Software Engineer with 4–6 years of experience to join our team. You will be responsible for automating, scaling, and securing our GCP infrastructure and application delivery pipelines. The ideal candidate will bridge the gap between development and operations, ensuring high availability, performance, and security for our microservices architecture and data processing pipelines.

Responsibilities

• Infrastructure as Code (IaC): Design, deploy, and maintain GCP infrastructure using Terraform.
• Kubernetes & Containerization: Manage, scale, and secure production applications on Google Kubernetes Engine (GKE) using Docker and Helm charts.
• CI/CD Pipeline Automation: Create and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins) for seamless deployment of microservices and React.JS web applications.
• AutoScaling & Performance: Implement and maintain autoscaling for backend services and data pipelines, ensuring reliability.
• Database & Message Broker Management: Administer and optimize PostgreSQL, StarRocks, and RabbitMQ for high performance.
• ETL Data Pipeline Management: Develop and maintain containerized ETL data pipelines to process high-volume data.
• Security & IAM: Manage user access and permissions using GCP IAM, ensuring secure infrastructure configuration.
• Scripting & Automation: Automate routine tasks and create integration scripts using Python.
• Monitoring & Logging: Set up monitoring, alerting, and logging solutions (e.g., Prometheus, Grafana, ELK) to proactively identify production issues.

Required Qualifications

• Experience: 4+ years in a DevOps, SRE, or Infrastructure Engineer role.
• Cloud Platform: Proven experience with Google Cloud Platform (GCP).
• Infrastructure: Strong expertise in Terraform and Kubernetes (GKE).
• Containerization: Proficiency in Docker and Helm.
• Languages: Strong scripting skills in Python (Bash is a plus).
• Data Technologies: Experience with PostgreSQL, StarRocks (or similar OLAP databases), and RabbitMQ.
• Tools: CI/CD tools (GitHub Actions, Jenkins) and monitoring tools (Datadog, Grafana).

Preferred Skills

• Experience in optimizing React.JS application deployments.
• Understanding of object storage lifecycle policies (GCS).
• Experience with Infrastructure security audits.