Everlaw is looking for a Staff or Principal Database Engineer to serve as the technical cornerstone of our data infrastructure. As a mid-sized SaaS company experiencing rapid growth, our challenge isn't just storing data—it's ensuring that data is highly available, performant at scale, and ready to power the next generation of AI-driven features.
In this role, you will be the in-house expert for our databases and storage layer, moving fluidly between low-level optimizations and high-level architectural design. You will have the autonomy to make high-stakes decisions and the resources to implement the latest advancements in data infrastructure. You will help to drive the work of a core squad of engineers, as well as provide technical guidance to engineers to level up their database expertise across the broader engineering organization. You’ll also collaborate with (and learn from) a community of other staff and principal engineers with industry-leading expertise in search, cloud infrastructure, full stack SaaS application design, data science, and performance. You’ll have regular visibility to, and interactions with, our Chief Technology Officer and other senior leaders at the company.
Note: We value "applied" expertise. We are looking for someone who loves the theory but lives for the practice of keeping production systems running smoothly.
At Everlaw, engineering is key to our mission. Our company culture is open and vibrant and we’re committed to the professional growth of our team members, offering an annual learning and development stipend and regular check-ins with managers regarding career goals. If you’re looking for a place that values passion, integrity, thinking big, and a desire to learn, we’d love to hear from you! 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.
This is a full-time, exempt position located onsite (3 days/week in office) in Oakland, California.
Getting started
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We want you to feel like part of the team early on! Our onboarding process will integrate you into the company with informative sessions on our product, policies, processes, and team structure and goals.
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We’re excited for you to learn, grow, and contribute right away! We trust that you’ll bring industry experience and knowledge that will uplift and uplevel the team, but we don’t expect you to know everything on Day 1.
In your role, you'll...
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Design Everlaw’s database and storage strategy: Direct how our primary transactional databases interface with our coding architecture, caching layers, and analytics data store.
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Design for scalability, sharding, and replication: Lead the strategy for horizontal scaling, including logical partitioning and sharding, to support our growing SaaS environment. You’ll own the design of multi-region replication strategies and failover mechanisms to ensure high availability. You’ll build systems to monitor and mitigate replication lag and data consistency.
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Dive deep into database performance tuning: Analyze and optimize database internals, including memory management, disk I/O, and query execution plans.
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Plan for low-downtime migrations: Lead the design and execution of database migration strategies for SQL environments to ensure high availability and minimal business interruption.
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Put observability front and center in our approach: Build and maintain tooling to provide visibility into database health and bottleneck identification before they impact customers.
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Always be learning: Stay at the forefront of the industry, evaluating when to adopt emerging technologies versus optimizing our existing stack. You’ll bring back your learnings to the team and how you might apply these to our work.
About you
- You have at least 10 years of experience in software engineering, with at least 6 years of experience in database engineering.
- You have a deep understanding of the storage engines and locking mechanisms of at least one major RDBMS (Postgres or MySQL preferred).
- You have experience with Distributed Systems: Proven track record of managing databases in a cloud environment (AWS, GCP, or Azure).
- You have a record of Leadership. You have demonstrated you can mentor senior engineers and influence the broader engineering organization’s data culture.
Pluses
- You have practical experience with vector search, including databases such as Weaviate, Chroma, Pinecone, or pgvector) to support embeddings and RAG (retrieval-augmented generation) for our AI initiatives.
Benefits
- The expected salary range for this role is between $228,000 - $340,000. The final offered salary will be dependent upon many factors including the candidate’s experience and skills. The base pay range is subject to change in the future.
- Equity program
- 401(k) retirement plan with company matching
- Health, dental, and vision
- Flexible Spending Accounts for health and dependent care expenses
- Paid parental leave and approximately 10 days (80 hours) per year of sick leave
- Seventeen paid vacation days plus 11 federal holidays
- Membership to Modern Health to help employees prioritize mental health and wellness
- Annual allocation for Learning & Development opportunities and applicable professional membership dues
- Company-sponsored life and disability insurance
- Find out more about our Benefits and Perks
Perks
Pursue Truth While Finding Yours
At Everlaw, we are deeply invested in pursuing the truth, for our clients and for our employees. We know that when you’re empowered to pursue your passions, it is reflected in the work. That’s why we’re committed to the professional growth of all our team members, offering an annual learning and development stipend and regular career check-ins with managers. If you’re looking for a place that values passion, integrity, and a desire to learn, we’d love to hear from you!
We help law firms, government agencies, and corporations sift through millions of documents of evidence in big lawsuits and investigations to find the proverbial smoking gun (or needle in the haystack -- pick your metaphor). It's a multi-billion dollar space typically dominated by service-oriented vendors, and we're coming at it with cutting-edge technology and elegant design. It's working, and we've been growing very rapidly: we host hundreds of terabytes of data and work with all 50 state Attorneys General and hundreds of law firms on some of the most high-profile cases litigated today.
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.
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 Covey as part of our hiring and/or promotional processes. As part of the evaluation process, we provide Covey 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 Covey complies with NYC Local Law 144. We began using Covey Scout for Inbound on the 9th of June, 2025.
