1311 Ediscovery Technical Services Engineer jobs in Dallas,TX

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Applied Early Career Program - Field Service Engineer

Applied Materials - Dallas, TX

Applied Early Career Program - Field Service Engineer

Paid Relocation to Dallas, TX

Requires Travel

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Manager, Technical Sales Consultant, Managed Services, Vertical Market

Spectrum

Coppell, TX 75019

~ 31 min Onsite

Bachelor's degree in a business-related field or equivalent combination of education, training and experience
5+ years selling managed services products with a proven record of meeting and exceeding sales performanc A
Ability to read, write, speak and understand English
Demonstrated success by leading teams focused on selling Voice solutions
Experience in developing and managing high-performing teams
Strong presence in face-to-face meetings with C-level executives and business owners
Ability to inspire teams to surpass goals
Expertise in telecommunications and networking technologies
Business analysis and reporting skills using Salesforce or similar CRM tools
Proficiency in Microsoft Word, Excel, PowerPoint, Outlook and Visio
Effective communication skills with all levels of an organization
Travel extensively up to 70 percent of the time with a valid driver's license and safe driving record required
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Controls Business Development Manager (Building Automation Systems)-Dallas, TX

Top Tempo Technical

Dallas, TX 75217

Onsite

5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
Demonstrated success generating new business and closing large commercial projects.
Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
Experience reviewing plans, specifications, and conceptual project requirements.
Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
Excellent presentation, negotiation, and communication skills.
Self-starter with exceptional organizational and time-management abilities.
Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.

SmartExplore AI is experimental.

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Water Resources Engineer Technical Lead

obrien engineering

Dallas, TX 75248

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

12+ years of experience
BS in Civil Engineering
Professional Registration: Texas PE or ability to obtain Texas registration within 12 months
Hydrologic, hydraulic, hydrodynamic and 2D modeling
ArcGIS and related tools
Experience with master flood studies, master drainage studies, comprehensive watershed studies, bank stabilization, storm drainage remediation, hydraulic analysis of bridges, culverts, channels, flumes, energy dissipation analysis; dam break analysis a plus
Minimum three days a week in-office

SmartExplore AI is experimental.

New, Posted 1 day ago

DiversityJobs

Lead Software Engineer (Python, Invoice/BIlling)

Gartner

Irving, TX 75039

New, Posted 1 day ago

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

SmartExplore AI is experimental.

New, Posted 1 day ago

DiversityJobs

Senior Product Security Engineer - Applications

Optimum Communications

Plano, TX 75086

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Principal Engineer - Python API Development

Fidelity Investments

Hurst, TX 76054

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems
A track record of building production‑grade services, libraries, and internal platforms
Linux fluency and scripting are required
Cloud platform leadership (AWS) —hands-on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming), inference routing, traffic management, performance tuning, observability, and controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers, are a backbone of code review across repos, and routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability—driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models; define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection, prediction‑quality monitoring and uncertainty signals, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates that simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 1 day ago

DiversityJobs

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

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Business Account Executive

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

Bachelor's degree in business, marketing or related field, or equivalent years of experience
2+ years of sales experience or 2+ years of telecom or technical industry experience
Ability to read, write, speak and understand English
Effective management of sales and administrative tasks with multitasking ability
Quick learner able to apply knowledge and operate in a team environment
Demonstrated verbal, written and interpersonal communication skills
Driven, professional and determined character
Valid and active State driver's license with safe driving record
Reliable personal vehicle and car insurance
This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.

SmartExplore AI is experimental.