Title: Software Engineer, SRE Location: Redwood City, California, USA Department: Technology Hybrid We are looking for a Software Engineer with a product-first mindset to help us accelerate the journey from "idea" to "live feature." In this role, you won't just be writing code; you will be an integral part of the product development lifecycle, working to build features that scale. You believe that great software isn't finished until it’s providing value to our community.   6-Month Accomplishments - Onboard & Contribute: Rapidly familiarize yourself with the Poshmark tech stack and functional requirements. - Feature Shipping: Get comfortable with our automation tools and deployment processes to start pushing code to production. - Team Integration: Gain in-depth knowledge of product functionality and start contributing to small-to-medium feature sets. - Quality Support: Understand the on-call and bug-fix process to support the health of the features you build. 12+ Month Accomplishments - Feature Ownership: Execute projects related to core product functionality with guidance from Sr. team members - Operational Excellence: Create meaningful dashboards to monitor the performance and user impact of the features you’ve launched. - Continuous Improvement: Identify gaps in the current product architecture and suggest improvements to enhance user experience or performance. - Mentorship & Growth: Fully participate in the engineering rotation and begin contributing to architectural discussions.   Responsibilities - Feature Delivery: Act as a key contributor to the development, rollout, and deployment of new product features. - Full-Cycle Development: Work closely with development and product teams from early design stages through to resolving production issues. - Agile Mindset: Function effectively in a fast-paced, rapidly changing environment where rapid iteration is the norm. - Systems Thinking: Ensure that every feature is designed with "operability" in mind, making it easy to monitor and support.   Desired Skills - Experience: 0–4 years of experience in a Software Engineering role, ideally within a fast-growing startup. - Technical Foundation: Exposure to large-scale web operations and a solid understanding of UNIX-based environments. - Problem Solver: Experience scripting, coding, and using a wide variety of open-source technologies to solve complex problems. - Deployment Savvy: Familiarity with continuous integration tools like Jenkins and configuration management tools like Ansible is a major plus.   Technologies we use: - Languages/Servers: Ruby, JavaScript, Node.js, Tomcat, Nginx, HAProxy. - Data & Messaging: MongoDB, RabbitMQ, Redis, ElasticSearch. - Infrastructure: AWS (EC2, RDS, CloudFront, S3), Kubernetes, Docker. Note: 1) Poshmark is currently unable to provide visa sponsorship for this position. 2) This is a hybrid position based out of our Redwood City, CA.

• Dive deep into transforming our IaC to support cross region resilient AWS infrastructure. • Develop and maintain Infrastructure as Code (Terraform), ensuring reusable modules, environment consistency, and automated provisioning of AWS infrastructure. • Operate and support Kubernetes (EKS) platforms, including cluster lifecycle management, workload deployment, scaling, and container runtime best practices. • Design, implement, and operate standardized CI/CD platforms using GitHub Actions and GitOps tooling (ArgoCD), supporting multi-environment deployments, rollback, and automation. • Implement GitOps deployment patterns and declarative configuration management. • Partner with engineering teams to integrate deployment standards into the application lifecycle. • Produce and maintain documentation and usage standards. • Provide technical mentorship and guidance on DevOps tooling and practices. • Participate in on-call rotation as required.

• Define and evolve DevOps architecture in complex environments • Develop and maintain CI/CD pipelines (GitLab, Jenkins, Azure DevOps) • Automate infrastructure using Terraform, Ansible and Packer • Manage and operate environments on AWS, Azure and Google Cloud Platform • Deploy and administer solutions with Docker, Kubernetes and OpenShift • Perform advanced troubleshooting in Linux, Windows and cloud environments • Implement Infrastructure as Code (IaC) and GitOps practices • Create and evolve monitoring and observability strategies (Prometheus, Grafana, Datadog, New Relic, Kibana) • Ensure high availability, performance and scalability of systems • Support development teams with DevOps best practices • Lead technical initiatives and serve as a technical reference for the team

• Own SLOs, SLIs, and error budgets for all production services; drive error budget discipline across engineering • Design reliability patterns for AI agent pipelines: LLM observability, tool-use tracking, failure detection, and graceful degradation • Architect for blast radius containment — agent failures must have bounded customer impact through isolation, circuit breaking, and rapid recovery • Mature our Canada Central/West active-active architecture toward 24-hour RTO with full regional failover • Lead incident response and post-incident reviews that produce durable fixes; maintain DR procedures through regular testing • Serve as the primary reliability liaison to Software and AI Engineering, translating requirements into actionable standards • Partner with AI Engineering on compute provisioning, model serving, inference latency, and workload isolation • Own CI/CD pipeline strategy (Bitbucket Pipelines, GitHub Actions) — set standards, optimize deployment frequency, and ensure teams can ship confidently • Drive IDP adoption and enable teams on SRE practices: on-call readiness, SLO definition, runbook development, and self-service tooling • Represent reliability in architectural discussions; surface risk before it's committed to design • Own the service catalog — a living inventory of all services, AI agents, dependencies, ownership, and SLOs • Operate Datadog as the single pane of glass for service health, infrastructure, and agentic pipeline telemetry • Build golden path templates in Backstage and/or Atlassian Compass so teams ship reliably without routine SRE involvement • Apply AIOps in Datadog to automate anomaly detection, incident triage, and remediation recommendations • Own infrastructure as code via Terraform and GitOps; enforce IaC policy in partnership with Trust Assurance • Own FinOps visibility into AWS cost segments; model cloud cost impact as AI/ML workloads scale • Formally mentor junior and intermediate SRE engineers, with accountability for their technical growth and career progression • Build AI-assisted automation to progressively reduce toil and scale the team's operational capacity