Seeking a Senior DevOps Engineer to architect and scale cloud infrastructure, automate deployment, and ensure system scalability while collaborating with teams to optimize performance.
About Loop
Loop AI is a San Francisco-based tech company founded in 2022. We provide a Delivery Intelligence Platform for data-driven digital food brands, helping them optimize operations and make informed decisions. Loop is at the forefront of innovation in the food-tech sector. At Loop, we value a growth mindset, passion for startups, product curiosity, and a hunger for continuous learning. We believe that the collaborative spirit among our peers is the lifeblood of our startup.
Role Overview
We are seeking a highly motivated and experienced Senior DevOps Engineer to join our engineering team at LoopAI. This is a critical role to define, architect, build, and scale our entire cloud infrastructure that powers our Delivery Intelligence Platform. This is a 0→1 opportunity to influence our technical roadmap, automate everything from deployment to monitoring, and ensure our systems can scale alongside our rapidly growing customer base. The ideal candidate is a proactive problem-solver who thrives in a fast-paced environment and is passionate about developer experience and operational excellence.
Key Responsibilities
- Infrastructure as Code (IaC): Design, provision, and manage cloud infrastructure using tools like Terraform or Pulumi to ensure consistency across environments.
- Container Orchestration: Manage and optimize our Kubernetes clusters (GKE), including scaling, security hardening, and resource optimization.
- CI/CD Automation: Build and maintain robust GitHub Actions pipelines to enable rapid, reliable, and secure software delivery.
- Observability: Implement and evolve our monitoring, logging, and alerting stack (e.g., Prometheus, Grafana, DataDog) to provide deep insights into system performance.
- Security & Compliance: Integrate security best practices (DevSecOps) into the SDLC, including secret management, IAM, and vulnerability scanning.
- Collaboration: Partner with SDEs and Product teams to optimize application performance, troubleshoot complex production issues, and improve developer workflows.
- Self-Service Infrastructure: Enable engineering teams to provision resources independently through standardized, pre-approved Terraform modules and internal APIs.
- Local Development: Standardize and optimize local development environments (e.g., using Docker Compose, Dev Containers) to ensure parity with production and minimize "works on my machine" issues.
- Internal Tooling: Build and maintain CLI tools or internal dashboards that simplify routine tasks like secret management, logs access, and environment switching.
- Innovation: Leverage emerging technologies, including GenAI tooling, to automate routine infrastructure tasks and improve operational efficiency.
- GCP Infrastructure Best Practices:Identity & Access: Enforce the Principle of Least Privilege (PoLP) using granular IAM roles rather than primitive roles.
- Network Security: Secure our perimeter using VPC Service Controls, Cloud Armor, and strict firewall rules.
- Cost Optimization: Drive FinOps initiatives by leveraging Committed Use Discounts and identifying "zombie" instances or unoptimized storage.
- Data Integrity: Ensure robust backup and disaster recovery plans for Cloud SQL and Cloud Storage, including object versioning.
Essential Skills
- Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Experience: At least 4 to 7 years of experience in a DevOps, SRE, or Infrastructure role, preferably in a high-growth startup environment.
- Cloud Proficiency: Hands-on experience with Google Cloud Platform (GCP) and its core services (Compute Engine, GKE, BigQuery, Cloud Run, Cloud SQL).
- Automation: Strong proficiency in scripting and automation using Python or Go.
- Orchestration: Deep expertise in Kubernetes and Docker containerization.
- Infrastructure: Solid understanding of Linux internals, networking (TCP/IP, DNS, VPNs), and distributed systems.
Desired Skills (Plus Points)
- Professional GCP certifications (e.g., Professional Cloud DevOps Engineer or Professional Cloud Architect).
- Familiarity with database management for PostgreSQL, Redis, or NoSQL databases.
- Knowledge of FinOps practices to optimize cloud costs.
Key Competencies
- Exceptional problem-solving and analytical skills.
- Excellent written and verbal communication skills for cross-functional collaboration.
- Ability to work independently and take full ownership of infrastructure components.
- A "security-first" mindset and a commitment to high system availability.
Top Skills
Cloud Sql
Cloud Storage
Datadog
Devsecops
Docker
Github Actions
Gke
Go
Google Cloud Platform (Gcp)
Grafana
Kubernetes
Prometheus
Pulumi
Python
Terraform
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