Top Tech Jobs & Startup Jobs

Lead SAP security and GRC initiatives across S/4HANA, ECC, Fiori, HANA, BI/BW, and HR environments. Responsibilities include end-to-end GRC implementations, SoD risk management, audit readiness, workflow and ruleset configuration, Fiori security design, authorization administration, migration security, HANA database access controls, risk remediation, and compliance support. The consultant collaborates with global functional, technical, and compliance teams in an agile environment.

Manages Allstate India’s employee benefits and wellness programs, including insurance plans, statutory compliance, renewals, vendor relationships, employee communications, and wellbeing initiatives. Analyzes utilization and cost data, prepares leadership reporting, supports total rewards strategy and HR projects, partners with global teams, and leads a small benefits analyst team.

Develops Big Data and advanced analytics solutions for descriptive, predictive, and prescriptive business decision-making. Builds analytical systems, integrates emerging technologies, supports ETL and real-time decision processes, identifies technical opportunities, and partners with technology teams. The role also contributes to moderately complex project management, influences departmental best practices, and assists with team member development.

Represents insured individuals and Allstate in bodily injury and property damage litigation. Handles hearings, jury trials, arbitrations, mediations, depositions, and pre- and post-trial motions. Provides legal advice to business clients, coordinates with legal teams, manages a substantial caseload, and monitors changes in laws, regulations, and case law to advise business units on legal impacts.

Defends insured individuals and Allstate in bodily injury, property damage, subrogation, and financial litigation. Conducts trials, hearings, mediations, depositions, and motion practice; advises business clients; monitors laws and case developments; coordinates legal teams; and manages a substantial caseload. The role requires Texas bar membership, litigation and jury trial experience, legal research skills, collaboration, remote work capability, and travel throughout the greater Dallas area.

Develop and maintain investment technology applications, trading platforms, reporting systems, data integrations, backend services, and responsive interfaces. Responsibilities include scripting, SQL development, API integration, testing, refactoring, source control, CI/CD, Kubernetes deployment, security implementation, production troubleshooting, and collaboration with business and infrastructure teams. The role supports hybrid work from the Chicago Riverpoint office and home.

Design and improve user experiences for developer platforms, enterprise technology products, AI-enabled workflows, and engineering tools. Responsibilities include UX reviews, research, interviews, journey mapping, service design, wireframes, prototypes, usability testing, and translating customer insights into product improvements. The role partners with Product, Engineering, Customer Success, and UX teams to reduce friction, improve adoption and satisfaction, and establish scalable experience practices.

Designs, builds, optimizes, and supports enterprise-scale batch and streaming data pipelines and lakehouse solutions. The role uses Apache Spark and Microsoft Fabric to deliver analytics-ready data for reporting, AI/ML, and decision-making. Responsibilities include ETL/ELT development, data modeling, governance, quality, security, CI/CD, observability, production support, architecture reviews, and technical documentation. The senior engineer also mentors colleagues, drives engineering standards, and collaborates with analytics, platform, security, and business teams.

Leads engineering teams building and operating data products, risk insights, security controls, cloud systems, pipelines, dashboards, and backend services. Provides technical direction, architecture guidance, hands-on development, people leadership, and delivery ownership. Ensures reliability, data quality, observability, secure engineering, and scalable production outcomes while partnering with product managers and cross-functional stakeholders in agile environments.

Develop and maintain data-driven solutions using statistical, machine learning, and AI techniques. Responsibilities include data preparation, exploratory analysis, predictive modeling, deployment support, monitoring, documentation, and communicating results. The role collaborates with technical and business stakeholders, participates in code reviews, researches emerging technologies, and applies modern development tools. Candidates should demonstrate growing independence, strong Python skills, and foundational data science expertise, with desirable exposure to cloud platforms, MLOps, generative AI, CI/CD, and containerization.