Senior Software Engineer – Professional Archive Search, AI

🕒 vor 1 Monat

🇺🇸 Vereinigte Staaten – Remote

💵 $95.000 - $120.000 / Jahr

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Smarsh

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2001

💸 Finanzen

🏢 Unternehmen

☁️ SaaS

💰 Private Equity Round im 2016-01

Finance • Enterprise • SaaS

Smarsh ist der weltweit führende Anbieter von Kommunikationsdaten und -intelligenz mit Schwerpunkt auf der Einhaltung digitaler Kommunikationsvorschriften und dem Risikomanagement in regulierten Branchen. Mit über zwei Jahrzehnten Erfahrung liefert Smarsh KI-gestützte Lösungen, um Geschäftseinblicke aus Kommunikationsdaten in großem Maßstab zu gewinnen. Vertraut von 95% der führenden Finanzunternehmen und mit der Verwaltung von Milliarden von Nachrichten pro Monat bietet Smarsh Dienste wie Chat-Erfassung, E-Mail-Archivierung und digitale Risikoüberwachung an. Ihre Plattformen sind darauf ausgelegt, die vielfältigen und sich entwickelnden Bedürfnisse des Finanzdienstleistungssektors, der Regierung, des Gesundheitswesens und anderer Branchen zu erfüllen, die Produktivität zu steigern und die Einhaltung von Herausforderungen der digitalen Kommunikationsverwaltung zu gewährleisten.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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.