Top Tech Jobs & Startup Jobs

Support and develop the firm's infrastructure across networks, storage, OS, databases, and cloud. Automate testing and monitoring, troubleshoot and tune application and database performance, apply data analysis and ML to reduce failures, assist incident review, and support business continuity and disaster recovery planning.

Lead risk governance for an engineering division: identify, analyze, and monitor operational and emerging risks; establish governance forums and oversight; assess inherent and residual risks via RCSA; define thematic issues and remediation plans; execute control assurance and share risk best practices across teams to improve risk and control frameworks.

Support and improve the firm's computing and data infrastructure across datacenter, networks, storage, OS, and databases. Implement cloud solutions, automate testing and monitoring, apply data mining/machine learning to detect and remediate failures, and tune performance. Troubleshoot incidents, collaborate with stakeholders, and assist with disaster recovery and business continuity planning.

Design, build, and support Listed Clearing software and data infrastructure. Troubleshoot and tune applications/databases, implement cloud solutions, develop monitoring/observability, apply Generative AI/ML for automated incident handling, and execute disaster recovery testing to ensure production stability.

Support design and development of the firm's computer and data infrastructure across datacenter, cloud, networks, storage, OS, and databases. Automate testing and monitoring, apply data mining/ML to detect and remediate infrastructure issues, perform performance tuning and troubleshooting, develop IaC, assist disaster recovery and business continuity, and coordinate incident response with stakeholders.

Manage and execute Data Engineering product operations projects: define roadmaps, scope deliverables, track milestones, surface risks, and report to senior leadership. Build and maintain feature request frameworks, OKRs, dashboards, and data quality controls using Jira, GitLab, SQL, Python, and BI tooling. Coordinate stakeholders and lead risk remediation in financial services.

Support design and development of the firm's compute and data infrastructure. Troubleshoot and tune applications and databases, automate testing and monitoring, apply data mining/machine learning to detect failures, assist incident review and change management, and contribute to disaster recovery and business continuity planning.

Lead transformation of Technology Risk to improve information and cybersecurity programs. Perform application security assessments (code review, penetration testing, design review, threat modeling), identify vulnerabilities, advise on remediation, evaluate secure cloud adoption, and collaborate with engineering, incident response, and forensics teams to strengthen cyber defenses and provide security consulting across the firm.

Develop, enhance, test, and maintain end-to-end software and data engineering solutions. Participate in requirements, design, coding, testing (unit/integration/regression/UAT), deployment, and production support. Collaborate with cross-functional teams, design scalable microservices, implement CI/CD and IaC, and build robust testing suites to meet business and regulatory needs.

Lead design, development, testing, deployment and maintenance of scalable software solutions across the firm. Own SDLC activities, build robust test suites, identify new technologies, design solutions, deploy to cloud, and mentor junior engineers.