Everlaw Senior Software Engineer, AI Platform at Everlaw building and operating AI platform capabilities for legal tech. Work across the stack on retrieval, vector search, model orchestration, and real-time collaboration.
Responsibilities
You'll build, modernize, and operate the platform-wide logging, metrics, and alerting infrastructure that gives Everlaw engineers real-time visibility into how our platform behaves in production. Working across the entire telemetry stack—from core libraries in Java and Python to ingestion pipelines, dashboards, and alerting—you'll ensure our engineering teams can detect, diagnose, and resolve issues while maintaining strict FedRAMP compliance and high availability.
This is a full-time, exempt position based in our Oakland, CA office with a hybrid work schedule: in office M/W/Th with the option to work from home on Tu/Fr.
Build and maintain log, metric, and alert infrastructure across commercial and federal environments using tools such as Datadog, Grafana, Prometheus, and PagerDuty.
Write reusable libraries and integrations in Java and Python that make it easy for engineers to emit structured logs, metrics, and traces from their services.
Develop and manage infrastructure as code with Terraform to ensure dashboards, alert rules, and telemetry pipelines are versioned, reviewable, and reproducible.
Improve our observability architecture by designing telemetry solutions that scale and incorporates emerging AI tools as Everlaw continues to grow.
Improve alert quality and incident response by tuning noisy alerts, creating actionable runbooks, and helping engineers find the necessary signal during live incidents.
Support regulatory and compliance efforts by keeping observability systems thoroughly documented and aligned with FedRAMP and data-handling requirements.
Participate in on-call rotations, respond to production issues, and drive post-incident improvements to prevent recurrence.
Qualification
You have a BS or MS in Computer ScienceYou are familiar with MySQLYou are familiar with LLMOpsThe Team — Observability
Required
You have a BS or MS in Computer Science, or equivalent coursework.
You have experience and proficiency in coding in a language such as C, C++, C#, Java, Python, Javascript, Go or Rust.
You have good knowledge of algorithms and fundamental computer science concepts, relational databases, API design, and building user interfaces
You have practical experience with AI/ML-powered systems such as retrieval pipelines, semantic search features, agentic pipelines, document classification systems, or LLM-integrated features.
You have work experience with AI development tools like Cursor and Claude Code, accelerating your planning, coding, and testing of production features.
You have at least 4 years of experience building distributed systems in the cloud with service based architecture, using frontend frameworks to create rich, deep, web applications, and experience with the best practices to test, maintain, and launch cloud based software.
You have at least 1 year of experience leading or coordinating multi-developer efforts, including planning and technical breakdown.
You are familiar with building software on the AWS platform.
You are familiar with MySQL, Postgres
You are familiar with vector or graph databases
You are familiar with LLMOps
Preferred
Experience with OpenTelemetry or distributed tracing systems.
Experience building or operating telemetry pipelines and log routing at scale.
Experience operating distributed systems or working in regulated environments (FedRAMP, HIPAA, or SOC 2).
Experience reducing alert fatigue and refining incident management practices.
Think you're missing some of the skills and are hesitant to apply? We do not believe in the 'perfect' candidate and encourage you to apply if you feel you can bring value to our team. We often revisit candidates who may have applied for a different role if something comes up that's a better fit.
The Team — Observability
The Observability team builds and evolves the infrastructure, observability, automation, and delivery systems that power Everlaw's engineering organization. By improving cloud architecture, development workflows, and platform reliability, the team helps engineers ship confidently while keeping Everlaw resilient, efficient, and secure. This work reduces friction for developers and ensures the platform performs when legal teams need it most.
