Senior Software Engineer – Professional Archive Search, AI

🕒 il y a 1 mois

🇺🇸 États-Unis – Télétravail

💵 $95 000 - $120 000 / an

⏰ Temps Plein

🟠 Senior

🧑‍💻 Développeur Full-Stack

🦅 Parrain de Visa H1B

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Smarsh

Site WebLinkedInTous les Emplois

1001 - 5000 employés

Fondée en 2001

💸 Finance

🏢 Entreprise

☁️ SaaS

💰 Private Equity Round en 2016-01

Finance • Enterprise • SaaS

Smarsh est le leader mondial des données et de l'intelligence en matière de communications, se concentrant sur la conformité des communications numériques et la gestion des risques dans les industries réglementées. Fort de plus de vingt ans d'expérience, Smarsh propose des solutions activées par l'IA pour libérer des informations commerciales à partir de données de communication à grande échelle. Reconnue par 95 % des plus grandes entreprises financières et gérant des milliards de messages chaque mois, Smarsh offre des services tels que la capture de chat, l'archivage d'e-mails et la surveillance des risques numériques. Leurs plateformes sont conçues pour répondre aux besoins divers et évolutifs des services financiers, du gouvernement, de la santé et d'autres industries, améliorant la productivité et garantissant la conformité aux défis de gouvernance des communications numériques.

Description

• Support and empower your team by contributing to a collaborative, inclusive, and respectful work environment • Partner with engineers and stakeholders to design and deliver scalable search and data solutions • Help bridge traditional lexical search and modern semantic search approaches • Design and implement hybrid search strategies combining keyword-based and vector-based retrieval • Work with vector databases to manage and query high-dimensional embeddings • Design and optimize retrieval-augmented generation (RAG) pipelines, including handling long documents and retrieval quality • Contribute to knowledge graph–driven approaches to enhance search relevance and data relationships • Build and maintain high-throughput streaming data pipelines (e.g., Kafka) for real-time ingestion and indexing • Contribute to architectural decisions that improve system scalability, reliability, and observability • Participate in a shared on-call rotation to support service reliability and incident response with a focus on learning and prevention • Collaborate with Product and Engineering to define technical requirements, timelines, and deliverables • Apply modern engineering practices, including Agile methodologies, CI/CD pipelines, and DevOps principles • Review code, identify areas for improvement, and help reduce technical debt • Troubleshoot and resolve production issues to maintain high availability and performance • Stay current with emerging technologies in search, AI, and data systems, and evaluate their impact • Deploy and manage applications in Kubernetes environments • Monitor application health and performance using tools such as Splunk, Datadog, and Grafana

🎯 Exigences

• Experience building and operating software in a modern private cloud-based environment • Strong background in distributed systems and search or data-intensive applications • Experience with search technologies such as Lucene, Elasticsearch, or Solr, including how indexing and query systems work • Hands-on experience with vector similarity search and vector databases (e.g., Qdrant, Milvus, Vespa, or similar) • Familiarity with retrieval-augmented generation (RAG) concepts and architectures • Understanding of knowledge graphs or graph-based data modeling concepts • Experience designing scalable data pipelines and working with streaming technologies such as Kafka • A collaborative mindset, with openness to feedback and different perspectives • Understanding of modern software development practices and Agile methodologies • Ability to communicate technical concepts, progress, and trade-offs clearly • Comfort working in evolving environments where requirements may change over time • A proactive and thoughtful approach to solving complex problems

🏖️ Avantages

• Healthcare insurance: We provide medical, dental, and vision insurance, and a flexible spending account that allows you to set aside pre-tax dollars to pay for eligible out-of-pocket expenses. • Stock options. • Personal time off: A healthy work-life balance is critical to your success at the office. Smarsh offers a “take-what-you-need” time off policy as well as flexible work arrangements. • 401K Match: Smarsh provides a 4% 401K match for which employees are fully vested on day one. • Sabbatical: The Smarsh sabbatical programme provides a time to recharge, study or simply do something you are passionate about away from the workplace. Employees are eligible after six years of service. • Recognition: We’re big on kudos for a job well done. Our employee-recognition programme enables co-workers to nominate their peers who best embody our core values for recognition.