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Arista Technical Network Engineering

Dallas,TX

1166 Arista Technical Network Engineering jobs in Dallas,TX

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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
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Network Engineer

Optimum Communications

Plano, TX 75086

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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
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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.
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Fabrication Shop Operations Leader

Ecolab

Dallas, TX 75217

OnsiteChildcare AssistanceEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree in Mechanical Engineering or Manufacturing Engineering OR 10+ years of relevant manufacturing/operations experience
  • Proven ability to lead teams in safety and production environments
  • Experience managing complex operations and workforce dynamics
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Inspector I Quality Control

Smiths Group

Irving, TX 75061

~ 22 min Onsite

  • Time management skills.
  • Must be adaptable to a changing work environment, completing jobs and must be able to deal with frequent change, delays, or unexpected events.
  • Attention to details and ability to focus on assignment.
  • Knowledge of reading engineering technical drawings, including GD&T; callouts
  • Effective English communication skills, including writing.
  • Knowledge of inspection tools (i.e. scopes, calipers, micrometers, etc) along with ability to focus for an extended amount of time while using microscope.
  • Have good computer skills and able to use Microsoft office products.
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Cable Assembly Drafter

Amphenol

Allen, TX 75002

~ 25 min Onsite

  • Ability to read (write and speak in English) and interpret assembly drawings/specifications from internal and external sources.
  • Ability to read and interpret engineering drawings and blue prints.
  • Proficient in AutoCAD/Visio, Solidworks (preferred) or equivalent 3D modeling software.
  • Proficient in MS Office Suite
  • Possess good interpersonal skills and ability to work in a team environment
  • Liaison with engineering/sales/manufacturing personnel
  • Able to move from design concept to finished design, including layouts and tolerance valuations and detail drawings.
  • Ability to learn and execute established procedures and programs
  • Complete all applicable reports and required project documentation
  • Able to follow established procedures to complete required cable assembly designs
  • U.S. Citizen or Permanent Resident to satisfy AFSI ITAR requirements
  • One to two years' college or trade school education in engineering drawing/CAD design
  • Minimum five (5) years' on-the-job experience.
  • An equivalent combination of education and experience may be substituted for formal training
  • Position requires candidates to be U.S. person as defined in ITAR, 22CFR 120.15 (U.S. Citizenship or Resident Alien Status)
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Senior Systems Engineer - L2/L2+ Support (Salesforce Platform)

Gartner

Irving, TX 75039

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Quality Inspector

Leonardo DRS

Dallas, TX 75243

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

  • High school diploma or GED
  • In-depth knowledge of relevant manufacturing standards (such as J-Std-001/IPC-A-610) or common mechanical techniques (such as geometric dimensioning and tolerance practices)
  • Ability to use various measurement devices (calipers, pin gauges, go/no-go gauges, etc) to verify mechanical part compliance
  • Experience reading mechanical drawings and able to verify parts dimensions against drawing requirements
  • Ability to effectively interpret data and present as information and respond to questions from engineers and other technical staff
  • U.S. Citizenship required. This position requires an active DOD security clearance or the ability to obtain such clearance within a reasonable time after commencement of employment.
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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 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.
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