2 days ago
Zürich, SwitzerlandMid Level
Responsibilities
- Own the availability, latency, and performance of production search, retrieval, ingestion, and data-store environments.
- Manage cloud infrastructure, networking, identity and access, compute, storage, capacity, quotas, and costs across public and private clouds.
- Improve deployment and infrastructure using GitOps-based configuration, deployment automation, and infrastructure-as-code.
- Define and instrument SLOs and error budgets and build dashboards, metrics, and alerting for production observability.
- Reduce operational toil through automation and internal tooling written in Python and/or Go.
- Provision and standardize new production environments to a defined reliability bar.
- Investigate live incidents, harden systems against recurring failures, and feed reliability improvements back into the platform.
Requirements
- At least 3 years of experience in SRE, production engineering, platform engineering, or infrastructure-heavy software engineering.
- Strong production experience operating container-orchestrated systems and at least one major public cloud.
- Solid cloud infrastructure experience, including capacity, quota, and cost management.
- Hands-on experience with metrics, logs, traces, observability, and root-cause analysis of live incidents.
- Fluency with infrastructure-as-code and GitOps.
- Ability to code in Python and/or Go for automation, tooling, and reading or patching service code.
- Sound production judgment and clear technical documentation skills.
- Preferred experience includes large-scale search or distributed data systems, database operations, dedicated or enterprise-deployed software, or AI and enterprise-search infrastructure in regulated domains.
Benefits
- Own the reliability of systems used by leading law firms at meaningful production scale.
- Work hands-on with distributed search, container orchestration across multiple clouds, infrastructure-as-code, and GitOps.
- Help establish reliability discipline, SLOs, incident practices, and automation from a strong foundation.
- Collaborate with a Zurich-based team working on AI and professional knowledge systems.
- Join an equal-opportunity employer committed to an inclusive workplace.
About DeepJudge
DeepJudge builds an AI-powered enterprise search and knowledge platform for law firms and in-house legal teams, integrating with document and knowledge systems to surface institutional know-how and support LLM-driven workflows. The company licenses its software to legal organizations to power knowledge search, automation, and agent-based applications. Privately held and headquartered in Zürich, it was founded by former Google search researchers with PhDs from ETH Zurich.