Senior Software Engineer Lead - Charlotte - Relativity

    Relativity
    Relativity Charlotte

    6 days ago

    Description

    Posting Type

    Hybrid

    Job Overview

    Are you an accomplished software engineer eager to lead the creation of high-performance ingestion pipelines? Join our team as a Senior Software Engineer Lead at Relativity. In this vital position, you will guide the Retrieval Ingestion Team in transforming raw documents into search-ready indexes, significantly enhancing user experiences.

    As the technical leader, you will manage the complete ingestion lifecycle—from content acquisition to normalization, indexing, enrichment, and monitoring. Your expertise will ensure our systems maintain fault tolerance and operate with low latency, enabling real-time discoverability of billions of documents. Additionally, you will mentor fellow engineers, define best practices, and guarantee alignment with our broader platform objectives.

    Key Responsibilities

    • Lead and mentor the Retrieval Ingestion Team, offering technical guidance and coordinating efforts across multiple projects.
    • Design and sustain scalable ingestion pipelines capable of efficiently processing billions of documents.
    • Encourage the use of event-driven and micro-batch frameworks such as Kafka, Kinesis, or Flink.
    • Collaborate with retrieval-focused engineers to optimize ingested data for indexing and search performance.
    • Establish and monitor key performance indicators regarding ingestion throughput, latency, and data completeness.
    • Collaborate closely with platform, security, and compliance teams to ensure data handling aligns with enterprise standards and security protocols.
    • Promote best practices in CI/CD, observability, automated testing, and operational readiness for ingestion systems.
    • Drive innovation by integrating vector indexing, knowledge graph enrichment, and AI technologies into the ingestion process.

    Required Skills and Experience

    • 6+ years of software engineering experience, including 2+ years in a leadership position.
    • Demonstrated success in building distributed ingestion or ETL systems for large-scale data platforms.
    • Extensive knowledge of indexing and search systems such as Elasticsearch, Lucene, Solr, Vespa, or OpenSearch.
    • Strong programming skills in C#, Java, Python, or Go, focusing on performance and reliability.
    • Experience with schema evolution and managing semi/unstructured data for processing.
    • Hands-on experience with Kubernetes and CI/CD pipelines in cloud environments like Azure, AWS, or GCP.
    • Solid understanding of observability and operational resilience in ingestion systems.

    Desirable Skills and Experience

    • Familiarity with incorporating embeddings and vector databases into workflows.
    • Experience in knowledge graph enrichment for processing entities and their relationships.
    • Background in compliance-heavy sectors such as legal, finance, or healthcare.
    • Knowledge of change data capture (CDC) and event sourcing methodologies.
    • Participation in open-source projects linked to ingestion, indexing, or retrieval frameworks.

    Why Join Us?

    • Take the lead in the Retrieval Ingestion Team, shaping how documents are integrated into our cutting-edge search platform.
    • Work at the intersection of distributed systems, data retrieval, and AI, ensuring the efficient indexing of billions of documents.
    • Mentor junior engineers and establish best practices in ingestion and indexing across the organization.
    • Become part of a cloud-native engineering culture devoted to developing scalable, AI-enabled retrieval systems that transform legal data discovery.

    Relativity is committed to competitive, fair, and equitable compensation practices.

    This position offers a competitive base salary, an annual performance bonus, and long-term incentives.

    The expected salary range for this role is between $150,000 and $224,000.

    The final salary will be determined based on various factors, including experience, skill set, and qualifications, with hiring typically occurring at the lower end of the range to allow for future growth.


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