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Design, build, and maintain scalable batch and streaming data pipelines using Python, SQL, Kafka, and GCP. Develop REST and GraphQL data services, CI/CD automation, observability, and data-quality frameworks. Integrate ML and NLP models into production workflows, including continuous retraining and real-time inference. Support structured and unstructured healthcare datasets, distributed systems, microservices, and reliable data infrastructure while collaborating with data science and MLOps teams.

Experienced Business Analyst responsible for eliciting, analyzing, documenting, and translating business requirements into technology solutions. The role involves stakeholder management, workshops, process improvement, Agile and Waterfall delivery, UAT coordination, risk tracking, change management, and collaboration with product, architecture, development, QA, and project teams. This is a client-facing onsite position requiring 8+ years of enterprise business analysis experience.

Develop and maintain scalable Java and Spring Boot backend applications, microservices, and RESTful APIs. Responsibilities include database integration, code reviews, performance optimization, production troubleshooting, testing, CI/CD, cloud deployment, and collaboration with product, QA, and DevOps teams.

Develop and maintain scalable full-stack applications using Java, Spring Boot, Angular, REST APIs, and microservices. Build responsive Angular interfaces, troubleshoot production issues, optimize performance, participate in technical design and code reviews, and follow testing and CI/CD practices. The role requires payment application and prior IBX experience, plus hands-on use of AI-assisted development tools such as GitLab Duo and Gemini. This is an onsite senior position in Cleveland, Ohio.

Lead iOS and Android mobile application development. The job description does not provide further responsibilities, qualifications, or technical details. Compensation ranges from $52,000 to $182,000 annually, with benefits available to full-time employees. Independent contractor arrangements are also available.

Leads the architecture, design, development, and delivery of enterprise-scale Vue.js and Nuxt.js applications. Responsibilities include front-end standards, solution design, SSR and SSG implementation, API integration, code reviews, mentoring, stakeholder collaboration, sprint and release planning, automated testing, CI/CD, performance optimization, accessibility, SEO, and security compliance.

Develop and maintain scalable Java and Spring Boot backend applications and REST APIs. Optimize CPU, memory, and overall application performance; identify bottlenecks; resolve production issues; and contribute to architecture, code reviews, reliability, and scalability. The role also involves Node.js or Python FastAPI services, cross-functional collaboration, and potential work with GraphQL, generative AI, cloud platforms, containers, CI/CD, and monitoring tools.

Develop Sitecore-based digital experiences for enterprise clients. The job description provides no specific responsibilities or qualifications beyond the Sitecore development focus.

Design and implement enterprise AI architectures spanning GenAI, machine learning, RAG, agentic workflows, data pipelines, APIs, and production deployments. Build Python prototypes and AI services, define governance and evaluation frameworks, integrate models with enterprise platforms, and guide engineering teams through implementation. The role requires hands-on expertise with LLM applications, orchestration frameworks, model lifecycle management, monitoring, security, and scalable production AI systems, preferably in financial services.

Designs, builds, and operates scalable enterprise data platforms supporting ingestion, processing, storage, governance, analytics, and AI/ML. Responsibilities include developing batch and real-time pipelines, lakehouse and warehouse architectures, orchestration, infrastructure automation, CI/CD, monitoring, security, cost optimization, and observability. The role partners with data, ML, DevOps, security, and application teams, troubleshoots complex platform issues, establishes reusable engineering standards, contributes to architecture strategy, and mentors engineers.