Jobs at Quantifind

Manage and automate infrastructure as code for datacenter and cloud deployments. Build, deploy, and maintain scalable, secure Linux-based systems using containers, orchestration, configuration management, monitoring, and release engineering tools. Collaborate with platform, data science, security, and product teams to improve reliability, performance, and deployment practices.

Design, build, and operate scalable, secure infrastructure using IaC principles. Automate deployments, manage on-prem and cloud fleets, improve observability and performance, and collaborate with cross-functional teams to productionize services and ML modules.

Define and build Quantifind's sanctions compliance product: conduct customer discovery, set product strategy and MVP, prioritize roadmap, write requirements, work with engineering and data science, support sales enablement, and ensure solutions meet regulated compliance workflows and auditability needs.

Build and maintain Quantifind's Apache Spark batch pipeline and platform services to generate risk signals from diverse data. Design scalable algorithms and data structures, implement ETL pipelines, microservices and REST APIs, deploy on Kubernetes, collaborate with Data Science, DevOps and Product, and ensure robust automated unit and integration testing of distributed systems processing terabytes daily.

Own, build, and optimize the company website as a growth channel: publish pages, maintain CMS and components, drive SEO/AEO and search discoverability, monitor performance and Core Web Vitals, ensure security and SOC 2 alignment, integrate with Salesforce and marketing systems, improve UX and conversion, manage backlog and projects, and coordinate cross-functional stakeholders.

Work directly with government and enterprise clients to architect, integrate, and deploy secure, compliant AI-enabled cloud environments. Build microservices and APIs, manage IaC, CI/CD, containers/orchestration, observability, and platform uptime across commercial and government clouds while meeting accreditation standards.

Build and maintain platform data services and ML infrastructure powering a SaaS product. Work on Hadoop/Spark pipelines, real-time services, Kubernetes/Docker containerized microservices in Scala/Python, design scalable algorithms and ETL pipelines, write automated tests, and collaborate with data scientists, DevOps, front-end engineers, and product managers.

Rapidly prototype and develop AI-driven applications across backend, frontend, data, and cloud. Collaborate with stakeholders and clients, perform QA and TDD, evolve prototypes to production, and use agentic and multi-agent AI workflows responsibly in regulated fintech environments.

Translate real-world problems into quantitative formulations and develop NLP and ML solutions (entity resolution, document classification, embeddings, topic modeling, knowledge graphs). Prototype and productionize scalable ML pipelines, work with product and engineering teams, and present technical findings to technical and non-technical stakeholders. Support client-facing engagements at financial institutions to detect financial crime.

Coordinate end-to-end recruiting logistics including complex interview scheduling and ATS upkeep; manage on-site office operations and vendor relationships; plan and execute company events, offsites, and travel logistics; provide executive administrative support; support onboarding, compliance, and people operations initiatives to create positive employee experiences in a fast-paced startup.

Design and run large-scale ETL and OSINT data pipelines, manage structured and unstructured data, build knowledge-graph and ontology frameworks, ensure data quality/compliance, prototype AI-driven data products, and optimize database performance and cloud deployment.

Design, implement, and operate secure, high-performance networks for Internet-facing SaaS and API services. Perform security assessments, incident triage and response, firewall and device log analysis, and monitoring improvements. Automate network configuration and policy management (Ansible, Python), support cloud and data center deployments, mentor engineers, and participate in availability, disaster recovery, and compliance activities.

Lead solutions marketing for financial-crime risk management SaaS: craft messaging and positioning, build solution-to-market plans, create sales collateral and thought leadership, run multi-touch campaigns, set KPIs and track performance, collaborate with product, sales, and analysts to drive adoption and pipeline.

Own Salesforce and GTM reporting infrastructure, produce executive/board-ready revenue and performance reports, manage CRM hygiene and integrations, support forecasting, quota and territory planning, run deal desk operations, and deliver insights to optimize sales processes and strategy.