Top Tech Jobs & Startup Jobs

Leads troubleshooting and incident response for a large global network, including routing, switching, multicast market data, wireless, security, and hybrid cloud environments. Implements network changes, automation, monitoring, documentation, and operational acceptance testing. Analyzes packet captures, supports multi-vendor infrastructure, evaluates network designs and processes, and collaborates with internal teams and customers to resolve complex issues.

Leads the design, development, testing, and deployment of Workday integrations, reports, business processes, and document solutions across HCM and Financials. The role integrates Workday with third-party systems and Google Cloud services, supports upgrades and incident resolution, applies security and governance standards, and mentors junior developers. Responsibilities include Workday Studio, EIBs, APIs, XSLT, BIRT, automated testing, application security, and least-privilege access management.

Manages employee relations programs, investigations, performance management, employee offboarding, and unemployment insurance claims. Advises employees, managers, HR colleagues, and senior leadership on employment matters, policy application, risk management, and performance improvement. Serves as the primary HR contact and site lead for the New York office while promoting an inclusive and accountable workplace culture.

Monitors, troubleshoots, and maintains global network infrastructure and services. Responds to alerts and incidents, manages network tickets, performs health checks, implements standard changes, and supports migrations, upgrades, and equipment commissioning. Coordinates with IT teams, customers, vendors, carriers, and service providers. Documents procedures, knowledge articles, root-cause analyses, and network diagrams while ensuring uptime and service availability.

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, BigQuery, and analytics infrastructure. Develop modular agent skills and evaluation systems, create intelligent data pipeline integrations, and expand knowledge platforms in collaboration with data engineers. Use coding-agent tools to accelerate development. The role requires Python and Java, with preferred experience in Google ADK, LangChain, GCP, BigQuery, Kubernetes, GitOps, and major foundation models.

Manages end-to-end procurement for HR and Finance technology, including enterprise software, SaaS, implementation services, vendor negotiations, sourcing, supplier governance, compliance, invoice and purchase-order resolution, and process optimization. Partners with internal stakeholders, analyzes costs and usage, evaluates proposals, monitors supplier performance, and identifies savings opportunities across corporate technology platforms.

Entry-level Site Reliability Engineer role supporting the reliability, observability, scalability, and disaster recovery of customer and clearing systems. Responsibilities include building monitoring and alerting, writing automation scripts, supporting GCP migrations, participating in resiliency testing, and eventually joining the on-call rotation under senior-engineer mentorship.

Monitors, analyzes, triages, and validates security events across network, host, identity, and cloud telemetry. Documents enriched alerts for incident response, performs threat hunting, and helps operationalize threat intelligence. Develops automation scripts, SOAR playbooks, and SIEM detection rules using Git and Detection-as-Code practices. Evaluates AI-assisted triage workflows, maintains process documentation, and collaborates with security engineering and incident response teams to reduce manual work and improve detection accuracy.

Supports post-trade client onboarding, account setup, trade submission workflows, operational processes, and end-of-day activities. Resolves and escalates client and operational issues, maintains customer relationships, supports calls and visits, documents enhancement requests, and contributes to process improvements and internal projects across CME clearing products and asset classes.

Build and deploy AI data agents that interact with enterprise knowledge graphs, data catalogs, analytics systems, and data pipelines. Develop modular agent skills and evaluations, integrate AI capabilities with BigQuery and unified data platforms, and support knowledge catalog and graph expansion. Required skills include Python, Java, agent tooling, and coding assistants. Preferred experience includes Google ADK, LangChain, cloud platforms, Kubernetes, GitOps, and foundation models.