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Cyber Cloud DevSecOps Analyst / Security Engineer I
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Everlaw

Software Engineer, Platform

Oakland, CA, United States

The expected salary range for this role is $150,000 to $190,000.

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Job details

Pay: The expected salary range for this role is $150,000 to $190,000.
Posting language: English
Posted: Nov 4, 2026

Original job description

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
Membership to Modern Health to support mental health and wellness
Paid parental leave
Company-sponsored life and disability insurance

Financial rewards

Competitive equity grants, so you share in Everlaw's long-term growth
401(k) plan with company matching of up to 4% of eligible annual compensation

Growth & everyday perks

17 paid vacation days, 11 federal holidays, and paid sick leave
Four "Everlawlidays" (additional paid company-wide days off) per year
Annual allocation for learning & development and relevant professional membership dues
Hybrid work with regular work-from-home days and flexibility for life's logistics
Monthly home internet reimbursement, plus a stipend for your desk setup
Catered lunch each workday, plus snacks and company-wide events in our offices

About Everlaw

When a lawsuit or investigation happens, teams must comb through vast amounts of electronic evidence - emails, documents, chats, files - to find what matters. That work is not a side task but the case itself, and where most of the time and money in litigation goes. Everlaw is the litigation and investigation management platform changing that, using AI to turn mountains of messy data into the handful of facts that win or lose a case, compressing weeks of work into hours.

We're the kind of place that's ranked #1 on G2 in our category and named a Great Place to Work™ by our own team. So if you want a front row seat to an industry in transformation, career-defining work you'll be proud to tell people about, and real upside at a company in control of its own destiny, we'd love to get to know you.

•

About Everlaw

At Everlaw, you'll shape how AI re-wires the legal industry, at a category-leading business built on a mission to illuminate the truth.

Everlaw is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity and gender expression of our applicants and employees, and we honor requests for pronouns. It is our policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity, including the California Equal Pay Act. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

We collect and process the personal information you provided along with your job application in accordance with our Applicants Privacy Notice and Notice at Collection.

When preparing to engage with Everlaw as a candidate, you may use AI tools for research, polishing application materials, and interview prep. However, any assessments (unless explicitly stated), remote interviews or live interviews must be completed independently without AI support. By submitting your application, you agree to adhere to these rules. Here's the link to our full policy, and please reach out with any questions!

We use Gem as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Gem with job requirements and candidate-submitted applications. Certain features of the platform may qualify it as an Automated Employment Decision Tool (AEDT) under applicable regulations. For positions in New York City, our use of Gem complies with NYC Local Law 144. We began using Gem in April 2026.

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Skills

Oracle Java
Python
Regulatory compliance
Datadog
Grafana
Prometheus
Monitor infrastructure
IBM Terraform
Incident response
AWS
Go
Splunk
Infrastructure as code
Docker
Ansible

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