Jobs at Quantifind

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.

Prototype and productionize machine learning solutions using Python, PySpark, and Spark; design and maintain ETL pipelines; train models (including NLP/LLM methods); implement data science features in a production Scala codebase; collaborate with product and platform teams, run experiments, and support customer-focused POCs and deployments.

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.

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.

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.

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.

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, 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.