Top Tech Jobs & Startup Jobs

Manage and scale infrastructure across data centers and AWS using infrastructure-as-code, automation, and configuration management. Build and operate secure, maintainable deployments involving Kubernetes, EKS, containers, databases, firewalls, and AWS-native services. Improve system performance, observability, testing, and operational processes while collaborating with DevOps, platform, security, data science, and product teams. Lead major projects, mentor engineers, document solutions, and promote Agile engineering best practices in a regulated environment.

Own the Graphyte platform’s enterprise-readiness roadmap, including identity and access management, permissions, auditability, tenancy, data handling, APIs, developer experience, and administrative controls. Drive performance, scalability, reliability, and resilience outcomes with engineering. Translate security, compliance, procurement, and customer requirements into product priorities and technical requirements. Partner with Compliance, Delivery, Customer Success, and executives to improve enterprise adoption and deployment success.

Lead strategic customer success for large financial institution clients using AI-driven fintech SaaS solutions. Manage onboarding, adoption, renewals, expansions, and client advocacy while serving as the primary executive contact. Collaborate with Product, Engineering, Data Science, Marketing, and Sales to align client needs with the product roadmap, improve engagement processes, and ensure delivery against project and contractual commitments. Occasional travel to client sites is required.

Manage strategic relationships with enterprise financial institution clients, driving onboarding, adoption, satisfaction, and long-term success for AI-driven SaaS solutions. Coordinate with Customer Success, Product, Data Science, Engineering, and Sales teams to deliver customer commitments within project and contractual timelines. Provide client presentations, training, support, expectation management, and advocacy throughout the customer lifecycle.

Manage strategic enterprise customer relationships for AI-driven SaaS solutions serving financial institutions and public-sector clients. Responsibilities include onboarding, customer presentations and training, ongoing support, expectation management, and advocacy throughout the client lifecycle. Partner cross-functionally with Customer Success, Product, Data Science, Engineering, and Sales teams to meet customer commitments, project milestones, and contractual timelines while driving satisfaction and measurable client value.

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.

Design enterprise, data-heavy product surfaces from research through high-fidelity specs. Lead features, run customer sessions, improve workflows and data visualizations, scale the design system, and collaborate with Product and Engineering. Leverage AI tools to accelerate research and prototyping.

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.

Manage and automate infrastructure for on-prem and cloud deployments using infrastructure-as-code. Build, deploy, and operate services (containers, orchestration, fleet management), improve observability and availability, support security practices, and collaborate with cross-functional teams to scale and operationalize ML and web applications.

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.