Senior Software Database Engineer

Everlaw is looking for a Senior Database Engineer to serve as a strong contributor to 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 a subject‑matter expert for our databases and storage layer, moving fluidly between low‑level optimizations and high‑level design. You will have the opportunity to make critical technical decisions and implement robust solutions using the latest advancements in data infrastructure. You will collaborate closely with a core squad of engineers and provide guidance to engineers across the broader engineering organization to level up their database expertise.

You’ll also collaborate with (and learn from) a community of other senior and staff engineers with expertise in search, cloud infrastructure, full stack SaaS application design, data science, and performance.

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.

This is a full‑time, exempt position located onsite (3 days/week in office) in Oakland, California.

• 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.
• 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.

• Contribute to Everlaw’s database and storage strategy: Define how our primary transactional databases interface with our coding architecture, caching layers, and analytics data store.
• Implement for scalability, sharding, and replication: Contribute to the strategy for horizontal scaling, including logical partitioning and sharding, to support our growing SaaS environment. You’ll help design multi‑region replication strategies and failover mechanisms to ensure high availability. You’ll build and maintain systems to monitor and mitigate replication lag and data consistency.
• Dive deep into database performance tuning: Analyze and optimize database internals, including memory management, disk I/O, and query execution plans.
• Participate in low‑downtime migrations :
  Participate in the design and execute database migration strategies for SQL environments to ensure high availability and minimal business interruption.
• 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.

• You have at least 5 years of experience in software engineering, with at least 3 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 a experience with Distributed Systems: Proven track record of managing databases in a cloud environment (AWS, GCP, or Azure).

• You have practical experience with vector search
  , including databases such as Weaviate, Chroma, or pgvector to support embeddings and RAG (retrieval‑augmented generation) for our AI initiatives.

• The expected salary range for this role is between $173,000 - $251,000. 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…