Jobs at Jefferies

Owns the architecture and delivery of complex Salesforce solutions in a large enterprise environment. Develops Apex, Lightning Web Components, workflows, integrations, data models, and scalable asynchronous processing. Leads technical decisions, coordinates global engineering teams, participates in Agile ceremonies, reviews code, maintains platform health, and troubleshoots complex issues across Salesforce and external integration layers.

Monitor, investigate, and respond to cybersecurity events across a global enterprise. Responsibilities include SIEM monitoring, threat hunting, incident response, endpoint and email threat analysis, DLP investigations, firewall policy review, vulnerability assessments, SOC documentation, and playbook development. The role also mentors junior analysts and serves as a senior escalation point during shift operations.

Monitor and investigate security alerts across SIEM, EDR, network, cloud, and identity platforms. Lead incident response for threats such as phishing, malware, lateral movement, and data exfiltration. Develop detection rules, conduct MITRE ATT&CK-based threat hunting, monitor DLP tools, reduce false positives, and document incidents. Communicate technical findings to stakeholders and continuously improve security monitoring and response capabilities.

Supports and maintains privileged access management infrastructure using CyberArk, BeyondTrust, and HashiCorp Vault. Responsibilities include platform monitoring, upgrades, integrations, automation, credential rotation, access governance, troubleshooting, incident resolution, documentation, and audit compliance. The role integrates PAM solutions with enterprise applications, Kubernetes, cloud platforms, and CI/CD pipelines while partnering with global security, infrastructure, DevOps, and application teams.

Senior technical leader responsible for engineering strategy, platform-scale architecture, and delivery across multiple teams. Owns technical roadmap for shared services, champions event-driven architectures (Kafka), provides hands-on guidance for Java microservices, ensures reliability, observability, and security, and partners with senior business and technology stakeholders to drive execution and scalability.

Monitor and investigate security alerts across SIEM, EDR, network, cloud, and identity platforms. Handle high-severity incidents through containment, eradication, recovery, and documentation. Develop detection rules, conduct MITRE ATT&CK-based threat hunting, monitor DLP tools, reduce false positives, and improve security monitoring and response capabilities.

Own and operate a production agentic AI platform while building full-stack features across React and FastAPI. Manage AI workflows, prompts, guardrails, human-in-the-loop approvals, evaluations, bias governance, and RAG knowledge bases. Maintain enterprise and recruiting-channel integrations, MongoDB/DocumentDB pipelines, AWS infrastructure, CI/CD, observability, security, auditability, and PII protection. Partner with HR, recruiting, legal, compliance, and IT stakeholders while leading platform knowledge transfer and roadmap delivery.

Build and operate reliable, scalable platforms supporting post-trade processing. Responsibilities include monitoring, incident response, troubleshooting, observability, capacity planning, automation, production support, and release and change management. The role develops dashboards and alerts with Grafana, Prometheus, and OpenTelemetry; supports Kafka-based messaging and distributed systems; analyzes logs, metrics, and traces; and improves resilience by reducing operational toil.

Develop, test, deploy, and support scalable Java and Spring-based Securities Finance systems. Build distributed services, APIs, messaging and processing components; collaborate with global technology teams; participate in code reviews and releases; diagnose production issues; and improve architecture, automation, observability, performance, and resilience.

Develop and support SS&C Syncova margin calculation systems for global equities Prime Services and swaps. Responsibilities include implementing margin rules, integrating market and operational data feeds, extracting data to data warehouses, developing reports, and supporting production systems. The role requires Java, SQL, Linux, and shell scripting expertise, financial industry experience, strong analytical and communication skills, and collaboration with swaps, operations, middle office, and technology teams.

Lead the architecture, development, deployment, monitoring, and support of scalable Java-based cloud-native platforms for investment banking and CRM/analytics. Build event-driven services, APIs, microservices, and real-time data pipelines using Kafka and multiple databases. Drive technical decisions, performance, resiliency, testing, observability, and CI/CD practices while mentoring engineers and collaborating with business, product, and global technology teams.

Supports and improves the reliability, scalability, and observability of AI tooling infrastructure running on AWS Kubernetes. Responsibilities include incident response, production troubleshooting, automation, deployment and monitoring improvements, dashboard and alert development, distributed systems support, Kafka integration, capacity planning, and operational excellence. The role collaborates with global engineering, infrastructure, and business teams across regions.

Build and operate reliable, scalable post-trade platforms through monitoring, incident response, troubleshooting, automation, observability, and capacity planning. Develop dashboards, alerts, and service health monitoring with Grafana, Prometheus, and OpenTelemetry. Support Kafka-based event-driven systems, production releases, change management, and root-cause analysis while collaborating with engineering, infrastructure, and business stakeholders to improve resilience and reduce operational toil.

Develop scalable full-stack applications using React, Python, Kafka, and Snowflake. Build responsive interfaces, backend APIs, event-driven architectures, and real-time data pipelines. Design reliable data models, implement authentication, optimize performance, write automated tests, support CI/CD deployments, and collaborate with engineers, analysts, product managers, and business stakeholders in an Agile environment.

Design and lead enterprise cloud data architecture using Snowflake, including data models, ingestion, transformation, governance, security, performance, and cost optimization. Guide data engineers, select and integrate tools such as dbt, Airflow, and Kafka, establish architecture standards, and collaborate with engineering, analytics, business, and leadership teams. The role also oversees AWS cloud architecture, documentation, data quality, and scalable analytics platforms.

Design, configure, integrate, and optimize Oracle Cloud HCM and Oracle Recruiting Cloud solutions. Develop extracts, reports, data conversions, integrations, and automation; resolve complex platform issues; support quarterly releases; and ensure security, compliance, governance, and operational stability. Partner with HR, Talent Acquisition, and Technology stakeholders on requirements, modernization, and roadmap initiatives while delivering scalable solutions and improved employee, recruiter, and candidate experiences.

Support, configure, integrate, and optimize global Oracle Cloud HCM and Oracle Recruiting Cloud platforms. Responsibilities include production troubleshooting, root-cause analysis, enhancements, integrations, reports, extracts, workflows, security, data conversions, quarterly release testing, and deployment readiness. The analyst partners with HR, Talent Acquisition, and IT teams while contributing to platform modernization, governance, and the HR technology roadmap.

Design and deliver complex, enterprise-scale Salesforce solutions including Apex, LWC, Flows, and integrations. Lead architecture decisions, ensure code quality and org health, debug cross-layer issues, coordinate globally across engineering teams, and build scalable, compliance-aware data models and integration patterns.

Senior engineering leader accountable for platform-scale architecture, technical strategy, and delivery across Java-based microservices and event-driven systems (Kafka). Owns org-wide architecture, tooling, standards, cloud/container platforms (AWS/EKS), data architecture, and alignment with senior business stakeholders while remaining hands-on for design reviews and incident response.

Design, build, test, deploy, and support scalable, high-performance Java/Spring services for Securities Finance. Contribute to distributed systems, messaging, APIs, and observability; collaborate globally, perform root-cause analysis, code reviews, and improve engineering practices and automation.