• Lead the development of Domino's internal AI-assisted reliability tooling, including systems that analyze tickets, logs, traces, and documentation to help teams resolve outages faster with less recurring toil • Improve the observability coverage and signal quality for our most critical customer-facing systems, so engineers have more to work with throughout the development and support lifecycle • Own incident response end-to-end, from detection to remediation, and leave each problem space better documented, better understood, and less likely to recur • Guide the development of customer and user-facing observability tools within our products • Define and mature SLO/SLI frameworks for priority services, turning abstract reliability goals into measurable, actionable standards • Scale cloud operations practices for Domino’s single-tenant SaaS offering, and work with engineering teams to improve the reliability and repeatability of customer deployments and upgrades • Mentor other engineers and shape how SRE is practiced at Domino, including incident response workflows, operational readiness expectations, and post-incident learning culture

• Lead reliability initiatives across production platforms and services • Define and manage SLOs, SLIs, SLAs, error budgets, and availability targets • Design and implement scalable, resilient cloud-native architectures • Automate infrastructure and deployments using IaC and CI/CD best practices • Build and maintain monitoring, logging, tracing, and alerting solutions • Drive incident management, troubleshooting, root cause analysis, and postmortems • Improve operational maturity through automation, runbooks, and best practices • Mentor engineers and support knowledge sharing across teams • Collaborate with product, security, platform, and vendor teams globally • Perform capacity planning, performance optimization, and reliability analysis • Maintain technical documentation and compliance-related artifacts where required

Role Description - Shipping & handling responsibilities - Design, scale, and secure infrastructure to stay ahead of business needs through: - Fault-tolerant architecture design - Performance testing, profiling, and tuning - Capacity planning - Design, build, deploy, and maintain automation, monitoring, and alerting systems, as well as: - Design, implement, and test disaster recovery solutions - Ensure scalability and maintainability through: - Microservices adoption - Decoupling of concerns and data model - Queuing of jobs and application layering - Enhance and maintain our CI/CD pipeline for smooth and safe production releases via automated testing and verification - Verify and ensure performance and correctness of systems in response time and throughput - Participate in peer reviews and testing and contribute to automated test suites and in design reviews for new features, products, and systems - Participate in an on-call rotation Qualifications - Experience developing, managing, and troubleshooting highly available distributed systems, including operational experience with Kubernetes in a production environment - Extensive expertise with at least one public cloud provider (AWS, GCP, Azure) - Exceptional verbal, written, and interpersonal communication skills - Interest in and understanding of best-in-class security practices, and automation and testing methods - Familiarity with configuration and maintenance of common infrastructure components such as Redis, Elasticsearch, and Hadoop - Deep understanding of customer needs and passion for customer success - BS or MS degree in Computer Science or equivalent experience Requirements - Advanced knowledge of managing and optimizing PostgreSQL server configuration - 3+ years of experience in software development - Experience with: - Managing service meshes (e.g. Istio) - Defining and monitoring Service-Level Objectives (SLOs) and Service-Level Agreements (SLAs) to ensure that systems meet reliability and performance targets - Monitoring Tools like New Relic, Prometheus, Grafana, and/or Datadog - OpenTelemetry knowledge for distributed tracing and metrics collection and experience on using it in production environments - Managing Python and Golang applications in production - Microservices architectures - DevOps tooling such as Docker, Terraform, ArgoCD, ArgoWorkflows, CircleCI, Github Actions, New Relic, PagerDuty, etc. - AWS/Cloud services such as EKS, EC2, S3, Lambda, Route 53, CloudFront, Cloudflare, IAM, etc. Benefits - Here at Shippo, we celebrate inclusivity and are committed to creating equal access to opportunities for people from all backgrounds, perspectives, and geographies. These values define who we are and everything we do. - All qualified individuals are encouraged to apply. If you need assistance, or a reasonable accommodation during the application and recruiting process, please contact us at accommodations@goshippo.com Company Description - Our people, much like the packages we help ship, are all over the world. - Through our remote-first program, “Shippos Everywhere”, our roles can be based anywhere in the US with the exception of Delaware, Nevada, Ohio, Oregon, Hawaii, New Mexico, and West Virginia. - Many roles can be based internationally. - For locations outside of the US and Ireland, the employment contracts are powered by Rippling.com.

• Build, deploy safely and incrementally and operate critical production systems with focus on scalability, reliability, observability, performance and security. • Monitor, support and enhance developer experience across services. • Build automation to remove toil and efficiently operate production systems. • Proactively monitor, respond to, and enhance alerts and set up automated alert handling • Create and maintain the incident response runbooks. • Triage platform/infrastructural issues and help Arista software engineers in their triages. • Engage with 3rd party vendor support. • Write postmortem documents and build solutions to avoid incidents from repeating. • Plan and communicate maintenance windows on production systems. • Work with Arista’s product development teams to identify infrastructural issues that are causing bottlenecks and limitations in their workflows. • Design and implement solutions to resolve them. • Survey and adopt best practices around infrastructure/platform to maintain secure, scalable and fault-tolerant systems. • Study the design and sufficient implementation details of OSS systems for better triage and fix resolution.