Top IT Jobs in Dallas, TX

Manage large scale IT projects ensuring deliverables meet schedule, budget, and quality goals. Oversee multiple teams and develop project roadmaps.

Responsible for managing IT infrastructure deployment projects, overseeing budget, staff, and vendor management while ensuring effective communication and reporting.

The IT AI Innovation Engineer designs and maintains AI-driven software systems to enhance legal practice efficiency and operations, collaborating with various teams and ensuring compliance with development practices.

Senior IT Quality Analyst responsible for UAT and software quality assurance, developing and maintaining UI and API automation frameworks, conducting data/ETL/Big Data validation, monitoring conformance to standards, performing root cause analysis, reporting quality metrics, and coaching junior team members.

Maintain and secure on-premises and cloud servers, networks, identity, Microsoft 365, backups, telecom, and endpoints for a 24x7 emergency communications environment. Administer virtualization, SANs, firewalls, monitoring, incident response, SOC 2 controls, and create runbooks. Own projects from planning through go-live and provide after-hours callback support for critical issues.

Manage medium-to-high complexity IT application projects end-to-end: perform application assessments, define scope, govern change control, track schedule/costs/risks, lead stakeholders and project teams, ensure deliverables and handover to service. Oversee infrastructure-related initiatives (data center, OS/AD/Exchange, Office 365, VOIP, SSO, COTS upgrades) and report status, enforce policies, and identify revenue opportunities.

Lead and grow multiple engineering teams across full-stack, data, and AI. Own delivery, reliability, architecture, hiring, and standards; drive adoption of agentic AI and cloud-native practices while mentoring engineers and coordinating cross-team initiatives.

Lead development and implementation of preventive and predictive maintenance for onshore mechanical equipment, use CMMS to plan and monitor maintenance, analyze reliability data, perform RCA, support operations and maintenance teams, ensure safety and compliance, and recommend improvements to reduce downtime and costs.

Design, build, and operate AWS-native AI/ML systems: RAG pipelines, fine-tuned LLMs, and microservices. Implement IaC (Terraform), CI/CD, policy guardrails, and production deployments integrating Bedrock/SageMaker, LangChain, and telemetry for secure, scalable enterprise use.

Lead development and implementation of preventive and predictive maintenance programs for offshore mechanical equipment, use CMMS to plan and track work, perform RCA for failures, support offshore teams in troubleshooting, monitor equipment reliability, and ensure compliance with safety and maintenance standards.

Design and validate downhole oil & gas tools: capture requirements, perform component and assembly design and safety calculations, collaborate with FEA/CFD, lead design reviews, source prototypes, support HPHT testing and post-test inspections, ensure API compliance, apply VAVE and corrective actions, write assembly/test procedures, and manage vendors and PLM/PDM processes.