Top Tech Jobs & Startup Jobs

Design, build, and maintain backend integrations connecting a public safety platform to third-party systems (911, state DBs, agencies). Implement Java/Spring Boot services, REST/SOAP/GraphQL integrations, ensure data pipeline reliability for RMS/CAD/Booking, write tests, debug production issues, document solutions, and collaborate across teams.

Architect and build automated application security layers across the SDLC for a large financial services program. Integrate and tune SAST, DAST, and SCA tools within enterprise CI/CD pipelines, develop AI-enabled secure code scanning and hardened baselines, automate secure coding patterns and runbooks, and provide code-level remediation guidance by reviewing complex Java and Python applications. The role requires autonomous execution, strong AppSec and DevSecOps expertise, and advanced threat modeling or AI integration experience is preferred.

Lead hands-on configuration and support of Workday Financials across Financial Accounting, Expenses, Business Assets, and Banking. Troubleshoot production issues, design scalable solutions, translate business requirements into system configurations, and drive ongoing optimizations in a lean finance solution delivery team.

Monitor and improve enterprise-scale ServiceNow Discovery across infrastructure targets. Assess MID Server health, discovery schedules, throughput, latency, failures, retries, and coverage. Develop or modify Discovery Patterns and Probes, investigate infrastructure relationships and attributes, maintain CMDB/CSDM data quality, interpret logs and telemetry, and convert troubleshooting knowledge into structured workflows. Build AI and observability agents to automate failure analysis, root-cause identification, corrections, and health monitoring.

Design and maintain enterprise-scale ServiceNow Discovery capabilities across infrastructure targets. Monitor MID Servers, discovery schedules, throughput, failures, coverage, and data quality. Develop AI agents that analyze logs, classify failures, identify root causes, and recommend tested corrections to probes and patterns. Convert troubleshooting knowledge into documented workflows, interpret telemetry, and investigate infrastructure attributes and relationships across Linux, Windows, network, virtualization, and cloud environments.

Maintain and improve an enterprise-scale ServiceNow Discovery environment. Assess MID Server health, discovery schedules, throughput, failures, coverage, and data quality. Develop or modify Discovery Patterns and Probes, troubleshoot infrastructure discovery, interpret telemetry, and convert operational procedures into structured workflows. Build AI-powered agents for log analysis, root-cause identification, remediation, and observability. Work with ServiceNow CMDB/CSDM, Linux and Windows infrastructure, networking protocols, authentication, virtualization, and cloud environments.

Monitor and improve an enterprise-scale ServiceNow Discovery ecosystem across MID Servers, schedules, probes, patterns, infrastructure targets, and CMDB data quality. Investigate failures, telemetry, throughput, latency, coverage, and infrastructure relationships. Convert troubleshooting knowledge into documented workflows and develop AI-powered agents for log analysis, root-cause identification, corrections, testing guardrails, and observability. The role requires hands-on ServiceNow Discovery, CMDB/CSDM, infrastructure engineering, networking, and observability expertise.

Manage and improve an enterprise-scale ServiceNow Discovery ecosystem. Monitor MID Servers, schedules, throughput, failures, coverage, and telemetry; troubleshoot complex infrastructure discovery issues; maintain Discovery Patterns, Probes, credentials, and CMDB/CSDM data quality; and convert troubleshooting knowledge into structured workflows. Develop AI and observability agents to analyze logs, identify root causes, generate corrections, and assess platform health with appropriate testing safeguards.

Design and operate enterprise-scale ServiceNow Discovery across millions of infrastructure targets. Monitor MID Servers, schedules, throughput, failures, coverage, and observability metrics; troubleshoot complex discovery issues; improve CMDB/CSDM data quality; and develop AI agents for log analysis, root-cause identification, corrections, testing guardrails, and MID Server health monitoring. Convert troubleshooting knowledge into documented workflows and engineering improvements.

Design and support enterprise-scale ServiceNow Discovery across infrastructure targets. Monitor MID Servers, schedules, throughput, failures, coverage, and data quality; troubleshoot Discovery issues; develop or modify Patterns and Probes; maintain CMDB/CSDM relationships and identification processes; analyze logs and telemetry; and convert troubleshooting procedures into structured workflows. The role also develops AI and observability agents to automate root-cause analysis and assess Discovery ecosystem health.