The Data Engineer is responsible for analyzing, formatting, and importing client data into the CINC database while improving ETL processes. They will develop SQL-based tooling and Python scripts to automate data manipulation and support project managers during client onboarding.
CINC Systems
16 Remote Job Openings at CINC Systems
The role involves reproducing and resolving customer software issues to determine root causes and providing professional technical guidance via email or phone. Additionally, the analyst creates user documentation and collaborates with other departments to enhance product functionality.
Lead security reviews across web applications, APIs, and AWS workloads while implementing secure SDLC processes. Conduct red team exercises and assess AI/LLM-based systems for emerging threats and vulnerabilities.
Lead external client implementations from initiation to go-live, ensuring timely delivery and alignment with company standards. Serve as the primary contact for clients while collaborating with cross-functional teams to manage scope, timelines, and risks.
Drive customer adoption, value realization, and renewal success across an assigned portfolio while acting as a trusted advisor. Proactively monitor usage trends and lead structured retention plans to reduce churn and build long-term customer advocates.
Design, build, and operate AI-enabled features within production SaaS applications, focusing on reliability, latency, and cost. Collaborate with cross-functional teams to translate user needs into scalable, observable, and secure intelligent system behaviors.
Lead a high-performing data engineering team to build scalable, event-driven data infrastructure and pipelines. Design data models and architectures that support analytics, operational systems, and AI-enabled applications.
Lead and develop a high-performing product engineering team while remaining hands-on in the codebase. Design and build scalable event-driven microservices and influence broader architectural and AI strategies.
Design and lead global quality automation strategies to improve platform stability and speed. Act as a player-coach to embed shift-left quality practices and AI-native testing across engineering teams.
Lead the transformation of the release process from stage-gated to continuous flow using Lean and DevOps principles. Design the system of work for value flow and measure performance using DORA and flow metrics.
Design and deliver scalable web applications and AI-native platforms while evolving the architecture from a monolith to modular microservices. Collaborate with cross-functional teams to implement robust APIs and mentor other engineers on clean code and system design.
Principal Design Systems Engineer (UX Platform & AI Experiences) ***Global***
CINC Systems
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Full Time
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3 months ago
CINC Systems
Lead the DesignOps and UI Systems organization to build a unified design system and pattern library across multiple product lines. Define the design-to-development workflow and integrate Applied AI and Generative UI patterns to create adaptive user experiences.
The Staff Data Scientist conducts advanced research and data analysis to uncover patterns and product opportunities. They design machine learning models and prototypes to translate analytical findings into actionable business and product strategies.
Lead Level 2 application support and design automated systems to improve production operations and incident management. Collaborate with engineering and product teams to reduce failure modes and implement AI-enabled support capabilities.
Staff Software Engineer, AI-Augmented Enterprise Applications
CINC Systems
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Full Time
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3 months ago
CINC Systems
Lead the design and implementation of AI-augmented enterprise applications and scalable SaaS systems. Drive technical initiatives to integrate AI into operational workflows while mentoring engineers and improving development effectiveness.
Design and build scalable automated quality systems and frameworks across APIs, services, and user interfaces. Partner with engineering teams to embed quality practices early in the software lifecycle through shift-left testing and CI/CD integration.