Job Title: Staff Site Reliability Engineer

Company Name: Zefr

Job Details: $190k-$210k/yrRemoteFull,Time

Job Url: https://hiring.cafe/viewjob/630w9an91t2uznoc

Job Description: Posted 1mo agoStaff Site Reliability Engineer@ ZefrView All JobsWebsiteMarina del Rey, California, United States$190k-$210k/yrRemoteFull TimeResponsibilities:Support systems and tools, Deploy multi-cloud architecture, Collaborate with ML teamRequirements Summary:7+ years in cloud infrastructure, GitOps, IaC, Kubernetes, and production reliability; strong automation and observability focus; experience with multi-cloud deployments and CI/CD.Technical Tools Mentioned:GCP, AWS, Terraform, Terragrunt, OpenTofu, Crossplane, Pulumi, Docker, Kubernetes, Helm, Kustomize, Istio, GitHub Actions, Argo CD, Python, FastAPI, Flask, Node.js, React, Apache Kafka, Pandas, DBT, Apache Airflow, Ray, PostgreSQL, AWS Aurora, GCP Cloud SQL, DynamoDB, OpenSearch, Qdrant, Redis, Snowflake
What we do: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.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 the rest of Zefr’s Engineering and Data Science teams, ensuring the specialized 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. Zefr wants a candidate that champions reliability as a product feature, and can translate complex technical concepts into strategy. This is a role where you'll shape how we build and operate systems at scale.Support and build systems and tools that enable other engineers to generate, deploy, and manage product features and models both quickly and safely.Deploy and support a multi-cloud, micro-service architecture, including infrastructure tailored for ML workloads, deployed via Github Actions, ArgoCD & Kubernetes.Collaborate with other engineers, particularly the Machine Learning team, to architect secure, resilient, scalable, and cost-efficient applications and ML 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 (primary), Amazon Web ServicesInfrastructure as Code (IaC): Terraform, TerragruntContainerization & Orchestration: Docker, Kubernetes (experience with GKE and/or EKS expected), Helm, KustomizeService Mesh: IstioCI/CD & Automation:CI/CD Pipelines: GitHub ActionsGitOps / Continuous Delivery: Argo CDPrimary Scripting/Automation Language: PythonObservability & Monitoring:Monitoring & Alerting: Prometheus, Chronosphere, PagerdutyTelemetry Standards: OpenTelemetryApplication & Data Ecosystem (Supporting):Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, ReactData Streaming: Apache KafkaData Processing/Transformation: Pandas, DBTWorkflow Orchestration: Apache Airflow, RayData Stores & Databases:Relational Databases: PostgreSQL (including managed versions like AWS Aurora, GCP Cloud SQL)NoSQL Databases: DynamoDBSearch Databases: OpenSearchVector Databases: QdrantCaching: RedisData Warehousing: SnowflakeWhat we’re looking for:7+ year job history designing, managing, deploying, and supporting Cloud Infrastructure in a production environment using major public cloud providers (GCP experience a huge bonus)Knowledge of GitOps including an understanding of modern CI/CD pipelines, techniques and technologies (Github Actions, GitLab, CircleCI, Argo CD, Flux)Proficiency with IaC and configuration management tools (Terraform, Terragrunt, OpenTofu, Crossplane, Pulumi)Production experience architecting, managing, deploying, and supporting container based workloads into Kubernetes clustersStrong problem-solving experience, focusing on automationProven track record of building and  scaling reliability practices, including SLO/SLI frameworks, incident management, and capacity planning.Heavy Production experience with observability platforms and practices (Prometheus, Grafana, Chronosphere, Datadog, OpenTelemetry); ability to design monitoring strategies for complex distributed systems.Knowledge of cloud networking (Mesh, NAT, Load Balancers, API Gateways, proxies, etc), cloud security, and cost optimization strategies.Strong written and verbal communication, organization, and documentation skillsBenefits (for US based employees):Flexible PTOMedical, dental, and vision insurance with FSA optionsCompany-paid life insurancePaid parental leave401(k) with company matchProfessional development opportunities10+ paid holidays offSummer Fridays (we leave early)In-office, hybrid, and fully-remote work options availableIn-office lunches and lots of free foodOptional in-person and virtual events (we like to celebrate!)Compensation (for US based employees):The anticipated salary for this position is between $190,000 and $210,000. Within the range, individual pay is determined by factors such as job-related skills, experience, and relevant education or training. If your compensation expectations fall outside of this range, it may still be worth having a conversation.Zefr is an equal opportunity employer that embraces diversity and inclusion in the workplace. We are committed to building a team that represents a variety of backgrounds, skills, and perspectives because we know this only makes us better.  We strongly encourage women, persons of color, LGBTQIA+ individuals, persons with disabilities, members of ethnic minorities, foreign-born residents, and veterans to apply even if you do not meet 100% of the qualifications.