Site Reliability Engineer

About Zefr

Zefr is the leading global technology company enabling responsible marketing in walled garden social environments. Zefr’s solutions empower brands to manage their content adjacency on scaled platforms such as YouTube, Meta, TikTok, and Snap, in accordance with industry standard frameworks. Through its patented AI technology, Zefr offers brands and agencies more accurate and transparent solutions for social walled gardens. The company is headquartered in Los Angeles, California, with additional locations across the globe.

Location Type: Hybrid Employment Type: FullTime

What You'll Do

As a Site Reliability Engineer at Zefr, you’ll apply your expertise in cloud infrastructure, CI/CD, Observability, and core SRE concepts, to deliver high-quality, reliable, and scalable solutions. A significant aspect of this role involves working closely with Zefr's Engineering and Data Science teams ensuring the infrastructure required for our services is robust, efficient, and scalable.

We’re looking for someone to combine their technical expertise with strong leadership and a passion for continuous improvement and innovation. By ensuring the continuous health and efficiency of our infrastructure, you will directly contribute to Zefr’s commitment to providing a consistently high-quality user experience. This is a role where we both expect to learn from you and have you learn from us!

• Support and build systems and tools that enable other engineers to generate, deploy, and manage product features.
• Deploy and support a multi-cloud, micro-service architecture deployed via Github Actions, ArgoCD & Kubernetes.
• Collaborate with other engineers to architect secure, resilient, scalable, and cost-efficient applications and systems/pipelines in AWS and GCP.
• Foster and push our DevOps culture and philosophy by encouraging continuous improvement across all engineering teams.
• Proactively maintain the health of production environments, including monitoring application performance and resource utilization.
• Participate in 24/7 on-call rotation, respond to system performance issues and outages.
• Debug code at the application and infrastructure level.
• Mature our CI/CD workflows and release process.
• Maintains a forward-thinking approach, actively researching and proposing new solutions.
• Propose and review Engineering Request for Comments (RFC) to drive Engineering architecture and practices.

Technology Stack at Zefr

Core Infrastructure & Cloud Platforms

• Cloud Providers: Google Cloud Platform (GCP), Amazon Web Services (AWS)
• Infrastructure as Code (IaC): Terraform
• Containerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, Kustomize
• Service Mesh: Istio

CI/CD & Automation

• CI/CD Pipelines: GitHub Actions
• GitOps / Continuous Delivery: Argo CD
• Primary Scripting/Automation Language: Python

Observability & Monitoring

• Monitoring & Alerting: Prometheus, Datadog, Pagerduty
• Telemetry Standards: OpenTelemetry

Application & Data Ecosystem (Supporting)

• Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React
• Data Streaming: Apache Kafka
• Data Processing/Transformation: Pandas, DBT
• Workflow Orchestration: Apache Airflow, Ray

Machine Learning Stack

• Serving: Triton Inference Server
• MLOps/Experiment Tracking: Weights and Biases, DVC
• Libraries/Frameworks: Transformers, HuggingFace
• Model Optimization/Formats: Onnx, TensorRT

Data Stores & Databases

• Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL)
• NoSQL Databases: DynamoDB
• Search Databases: OpenSearch, Elasticsearch
• Vector Databases: Qdrant
• Caching: Redis
• Data Warehousing: Snowflake

What We're Looking For

• 4+ year job history designing, managing, deploying, and supporting Cloud Infrastructure in a production environment using major public cloud providers. (One of GCP or AWS required)
• Production experience designing, managing, deploying, and maintaining container based workloads into Kubernetes clusters
• Knowledge of GitOps