• Join our Data Stores team, which owns the reliability, scalability, and operational excellence of core datastores (MongoDB, PostgreSQL), including schema and index strategy, connection best practices, and performance tuning. • Partner cross-functionally with product, application, and platform teams (including embedded engagements) to support new use cases, onboard new products, and unblock dependency-driven work. • Reduce toil by designing and implementing automation and Infrastructure as Code (IaC) for datastore provisioning, upgrades, backups, and disaster recovery. • Lead efforts to identify systemic datastore issues, drive root-cause analysis, and implement durable fixes to improve long-term stability. • Establish guardrails, standards, and best practices to ensure consistent and scalable adoption of datastores across teams; anticipating growth and avoiding repeat failure modes. • Guide and empower engineers on other teams to introduce new features and functionality into production in a safe, sustainable way. • Occasionally dive into the main Webflow application (TypeScript, Node, or Go) to debug and sometimes fix production behavior. • Participate in and continuously improve on-call and incident response processes. • Help define the culture of this growing team as it expands its international presence.

• You'll own infrastructure as a product, serving Atticus's product engineering teams as your customers. This means: • Shaping our infrastructure roadmap — developing a clear vision for where our infra needs to go and driving progress toward it • Building security and operational foundations — laying the groundwork for sustainable growth • Improving reliability — reducing MTTR, establishing SLOs, bringing rigor to how we manage outages • Empowering product teams — you'll build the platforms and tools that let them own their systems end-to-end

• Design and optimize high-performance data pipelines for distributed training and storage (using tools like Arrow, DuckDB, LanceDB, BigQuery, vector databases). • Focus on low-level optimizations (latency, throughput, reliability, GPU usage). • Build monitoring and visualization tools for tracking data quality, pipeline performance, and experiments. • Optimize distributed AI workloads for reliability, latency, and efficiency. • Scope and supervise projects so that interns, PhD students, and post-docs can contribute and collaborate effectively. • Support recruiting efforts and help shape the growth of the infrastructure team.

• Provide Tier 3 support for complex infrastructure and application-related incidents • Monitor system health, performance metrics, application logs, and infrastructure telemetry • Troubleshoot and resolve production issues across AWS infrastructure and Drupal-based platforms • Support AWS cloud services including compute, storage, networking, and security components • Investigate and diagnose performance bottlenecks, resource constraints, and configuration issues • Support CI/CD pipeline operations and troubleshoot deployment or release failures • Perform root cause analysis for recurring incidents and implement preventive measures • Coordinate incident response and resolution with development, DevSecOps, security, and infrastructure teams • Execute routine maintenance tasks including patching, scaling, backups, and system updates • Support deployment activities and release verification in production environments • Manage user support tickets and ensure timely resolution within SLA requirements • Maintain and update technical documentation for operational procedures and known issues • Implement and maintain monitoring alerts, logging, and automated health checks • Support disaster recovery testing and business continuity planning • Ensure compliance with federal security requirements and audit controls • Interface with federal stakeholders on operational status, issue escalation, and resolution • Collaborate with AWS support and third-party vendors for escalated technical issues