Staff Software Engineer

Were looking for a Staff Software Engineer to serve as a technical leader and architect for the products powering our two-sided marketplace. Youll set the technical direction for critical systems drive architectural decisions that shape our platform for years to come and mentor engineers across the organization. From designing AI-powered document processing pipelines to architecting the data infrastructure behind our case-matching intelligence youll operate at the intersection of deep technical craft and high-leverage business impact.

This role is for a seasoned engineer who has already done the senior engineer job well and is ready to expand their scopeinfluencing systems teams and the technical strategy of the company. Youll partner directly with engineering leadership Product and Design to translate ambitious business goals into resilient scalable technical realities.

What Youll Do

• Architect and lead the design of complex distributed systems that power our marketplace at scale including our AI/ML infrastructure search and matching services and data platform

• Drive technical strategy across multiple teams and servicessetting standards for reliability performance security and developer experience

• Own our AWS cloud infrastructure end-to-end: VPC design compute (ECS/EKS/Lambda) data stores (RDS DynamoDB S3) networking IAM observability and cost optimization

• Design and evolve our data platformincluding data modeling ETL/ELT pipelines warehousing (e.g. Redshift/Snowflake) streaming architectures and the data foundations that power analytics and ML

• Lead the technical design of AI-powered features including LLM-backed document processing embeddings/vector search for expert matching RAG pipelines and evaluation frameworks

• Establish engineering excellence: define coding standards CI/CD practices testing strategies incident response processes and operational maturity across the org

• Mentor engineers at all levelsthrough code review design review pairing and career coachingraising the bar for the entire team

• Partner with leadership on technical roadmap hiring org design and build-vs-buy decisions

• Own critical production systems including on-call rotation leadership SLO definition and driving postmortems that translate incidents into lasting improvements

• Identify and resolve systemic performance scalability and reliability bottlenecks before they become customer-facing problems

Qualifications :

Were looking for candidates who are:

• Seasoned technical leaders who thrive in ambiguity and can turn vague goals into concrete architectures

• Deeply curious about AI/ML and actively shipping production systems using modern techniques (LLMs embeddings vector DBs agentic workflows)

• Strong generalists with depth in distributed systems cloud infrastructure and data engineering

• Expert-level in TypeScript and PostgreSQL with working fluency across additional languages and datastores

• Force multipliers who make the engineers around them better

Additional Information :

The right candidates have:

• 8 years of professional engineering experience with at least 2 years operating at a Staff or equivalent level of scope and influence

• Deep AWS expertiseyouve designed built and operated production workloads across compute storage networking and managed services; you understand the trade-offs between ECS vs. EKS vs. Lambda when to reach for Aurora vs. DynamoDB and how to keep a cloud bill sane as you scale

• Infrastructure-as-code fluency with Terraform CDK or Pulumi and a strong grasp of CI/CD containerization (Docker) and modern deployment practices

• Data engineering chops: youve designed production data models built reliable pipelines (Airflow dbt Kafka or equivalent) and shipped warehouse-backed analytics or ML features

• Architectural range: you can zoom from individual service design up to multi-system architecture and you have strong opinionsloosely heldabout microservices vs. monoliths event-driven design API design and data consistency models

• AI/ML production experience: youve shipped features backed by LLMs embedding models or traditional ML and you understand the infrastructure evaluation and cost considerations that come with them

• Outstanding communication skillsyou can write a crisp RFC run a productive design review explain a complex system to a non-technical stakeholder and give feedback that actually changes behavior

• A track record of mentorship and elevating the engineers around you

• Strong product intuitionyou push back on bad specs you understand why were building what were building and you use that context to make better technical decisions

• A bias to action balanced with the judgment to know when to slow down and design carefully

• Deep interest in our product our customers and the legal industrys transformation through technology

All your information will be kept confidential according to EEO guidelines.

Remote Work :

No

Employment Type :

Full-time