
1001 - 5000 employees
Founded 2001
💸 Finance
🏢 Enterprise
☁️ SaaS
💰 Private Equity Round on 2016-01
Finance • Enterprise • SaaS
Smarsh is the global leader in communications data and intelligence, focusing on digital communications compliance and risk management in regulated industries. With over two decades of experience, Smarsh delivers AI-enabled solutions to unlock business insights from communications data at scale. Trusted by 95% of top financial firms and managing billions of messages monthly, Smarsh offers services like chat capture, email archiving, and digital risk surveillance. Their platforms are designed to meet the diverse and evolving needs of financial services, government, healthcare, and other industries, enhancing productivity and ensuring compliance with digital communication governance challenges.
🕒 April 22
🇺🇸 United States – Remote
💵 $95k - $120k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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1001 - 5000 employees
Founded 2001
💸 Finance
🏢 Enterprise
☁️ SaaS
💰 Private Equity Round on 2016-01
Finance • Enterprise • SaaS
Smarsh is the global leader in communications data and intelligence, focusing on digital communications compliance and risk management in regulated industries. With over two decades of experience, Smarsh delivers AI-enabled solutions to unlock business insights from communications data at scale. Trusted by 95% of top financial firms and managing billions of messages monthly, Smarsh offers services like chat capture, email archiving, and digital risk surveillance. Their platforms are designed to meet the diverse and evolving needs of financial services, government, healthcare, and other industries, enhancing productivity and ensuring compliance with digital communication governance challenges.
• 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
• 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
• 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.
Apply Now🕒 April 22
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