The Role

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.

What you'll do

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.

About You

You have at least 2 years of professional software engineering experience building, testing, and operating production systems in a cloud environment (AWS preferred).
You are proficient in a coding language such as Java, Go or Python and are comfortable picking up new tools quickly.
You have hands-on experience with observability tools for logging, metrics, or alerting (e.g., Datadog, Grafana, Prometheus, InfluxDB, Splunk, PagerDuty, etc).
You have experience with infrastructure as code and container technologies, such as Terraform, Docker, Ansible, or Helm.
You communicate technical concepts clearly and navigate ambiguity by breaking large projects into clear milestones.
You are authorized to work in the United States. Please note that at this time, Everlaw is not sponsoring U.S. employment visas for this role.

Bonus points

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.

Total Rewards & Benefits

The expected salary range for this role is $150,000 to $190,000. Final salary depends on factors including the candidate's experience and skills, and the base pay range is subject to change. This role is also eligible for equity and the benefits below.

Health & well-being

Comprehensive medical, dental, and vision coverage
Flexible Spending Accounts for health and dependent care expenses