Top Tech Jobs & Startup Jobs

Build, deploy, and operationalize data pipelines and solutions supporting AI, machine learning, and business intelligence. Responsibilities include data transformation, cleansing, governance, security, quality management, source analysis, testing, incident resolution, and defect remediation. The role collaborates across teams, supports data products, educates users, and applies software engineering and DevOps practices to deliver reliable analytical data solutions.

Designs, configures, deploys, and maintains enterprise virtual desktop and platform environments, serving as a Citrix SME. Responsibilities include managing Citrix CVAD, Citrix DaaS, NetScaler, Azure Virtual Desktop, hybrid cloud platforms, CI/CD pipelines, DevOps workflows, platform incidents, integrations, documentation, and collaboration with software and infrastructure engineering teams.

Leads software engineering teams building production-grade generative AI and cloud application harnesses. Designs agentic architectures, establishes enterprise engineering standards, advances test automation, and resolves cross-team delivery dependencies. Provides technical leadership, mentors engineers, collaborates with business stakeholders, and develops reusable capabilities using AWS or Azure, Kubernetes, infrastructure as code, CI/CD, observability, and distributed tracing.

Lead engineering efforts to embed GenAI and LLM-based agents into production systems, drive modern, modular API-driven architectures, mentor teams, resolve high-impact incidents, and champion automation, resiliency, and AI best practices to accelerate product delivery and engineering maturity.

Build and operationalize data pipelines and solutions supporting AI, machine learning, and business intelligence. Responsibilities include designing data solutions, analyzing and cleansing data, implementing governance and security practices, testing transformations, resolving defects, and collaborating across teams. The role requires Python, SQL, AWS, Databricks, Terraform, API design, and AI platform experience.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Supports claim professionals and customers by answering questions, documenting claim files, processing payments and expenses, managing records and correspondence, preparing reports, resolving data discrepancies, and performing financial control assessments. The role also handles claim document preparation, mail processing, supply distribution, and related operational projects under moderate supervision.

Manages a team of workers compensation claim professionals, overseeing recruitment, development, performance, claim file quality, service standards, cost control, resolution strategies, and process improvement. Reviews claim files, assigns claims based on expertise, supports business strategy through data and technology, maintains relationships with internal and external partners, and ensures regulatory and licensing requirements are met.

Manages accounting operations, including financial reporting, journal entries, reconciliations, variance analysis, financial controls, audit support, and regulatory compliance. Reviews GAAP, SEC, and statutory financial statements, maintains accurate books and records, supports financial reporting changes and related projects, and coaches team members. Requires strong analytical, communication, judgment, project management, and accounting systems skills, plus at least three years of relevant experience.

Participate in Travelers’ one-year Engineering Development Program within the Software Engineering track. Design, develop, debug, test, troubleshoot, document, and implement software solutions while gaining experience with modern engineering, analytics, AI-assisted tools, Agile practices, APIs, databases, and web technologies. Participants complete an intensive technical accelerator, contribute to varied engineering projects, and receive mentoring, networking, and career guidance. Occasional travel for business meetings and events is expected.