Senior Software Engineer, Match Team

Enigma•Los Angeles, CA

1d•$180,000 - $210,000

About The Position

This is a critical and exciting time at Enigma. Our customers consistently tell us that our data products create tremendous value and are deeply aligned with their most important workflows. As demand grows, we have an urgent opportunity to improve both the intelligence of our data and the systems through which customers access it. We are looking for an experienced Senior Software Engineer to join our Match Team and help shape the next generation of Enigma’s customer-facing data products. You will play a central role in architecting, building, and managing the critical engineering systems required to power fast, relevant, and reliable search and retrieval experiences at scale. This is a uniquely high-impact role sitting at the intersection of information retrieval, distributed systems, microservices, and customer data delivery. At the core of Enigma’s product is our data, which makes delivery systems central to what we build. As a Senior Software Engineer on the Match Team, you will lead efforts that improve the latency and scalability of our customer-facing data products. You’ll work across the full software lifecycle: translating product requirements into technical designs, and implementing high-throughput search and retrieval systems. This role is ideal for an engineer who is excited by hard search problems and the systems challenges of delivering low-latency, production-grade retrieval systems.

Requirements

5+ years of software engineering experience
Has strong programming proficiency in Python and experience operating within cloud environments (AWS preferred)
Has experience designing, fine-tuning, and operating high-scale backend systems, APIs, or data delivery platforms
Demonstrated applied, production-level expertise in two or more of the following technical domains: distributed systems, information retrieval, or high-scale API development.
Enjoys collaborating with cross-functional partners (product managers, other engineers, our client stakeholders) to set clear expectations and solve common problems
Effectively communicates technical concepts and tradeoffs to technical and non-technical audiences
Thrives in highly collaborative environments with strong ownership and fast iteration cycles
Is driven to work with customers to have an impact on the real world

Nice To Haves

Have deep experience with our core stack (Typesense, Python, AWS) or similar retrieval infrastructure (Elasticsearch, OpenSearch, FAISS)
Have built customer-facing search or recommendation systems or APIs
Have an outstanding track record of leading engineering teams
Have extensive experience engineering SaaS data products
Have mentored senior engineers and raised the technical bar across disciplines

Responsibilities

Build scalable, highly-available, high-throughput, highly maintainable systems, deployed in cloud environments
Design and build low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems using Python, Typesense, and AWS
Evaluate and evolve our search technology stack, driving technical design decisions across retrieval architecture, indexing strategies, and system performance tradeoffs
Solve problems with containers, cloud infrastructure, and infrastructure as code (we use Docker, AWS, and Terraform)
Lead end-to-end work from design and implementation through productionization and customer-facing delivery
Detect and investigate anomalies in system performance and data freshness, tracing issues to root cause
Pride themselves on writing highly readable, thoroughly tested code
Partner closely with Product, Engineering, and client stakeholders to improve search experience and discoverability
Mentor teammates and help raise the bar for system design and operational excellence