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Software Engineer

Hurst,TX

1108 Software Engineer jobs in Hurst,TX

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

Top Tempo Technical - Dallas, TX

Top Tempo Technical - Dallas, TX

Controls Business Development Manager (Building Automation Systems)-Dallas, TX
~ 33 min Onsite
New, Posted 8 hours ago
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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 19 min OnsiteUrgently HiringFlexible Schedule

  • 3-6 years of professional technical writing experience in aerospace, defense, or a similarly regulated industry; direct exposure to joint or multi‑agency programs preferred.
  • Familiarity with systems engineering concepts, system architecture, and/or basic hardware/software terminology; ability to read schematics, block diagrams, and/or software code excerpts.
  • Bachelor's degree in Engineering, Computer Science, Technical Communication, or a related technical field.
  • Ability to obtain and maintain a Secret (or higher) clearance as required by the program.
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
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Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

~ 10 min OnsiteUrgently HiringEducation 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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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 12 min OnsiteUrgently HiringEducation 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.
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New, Posted 8 hours ago
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AI Engineer

Capital One

Plano, TX 75023

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Sr Developer, IT Applications

American Airlines

Fort Worth, TX 76101

~ 19 min Onsite

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
  • 4+ years of experience designing, developing, and implementing large-scale applications in production environments
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New, Posted 17 hours ago
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DiversityJobs
Sr/Staff AI Engineer (Remote - US)

BNSF Railway

Fort Worth, TX 76131

Remote
New, Posted 17 hours ago
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DiversityJobs
Staff Infrastructure Software Engineer (Remote - US)

BNSF Railway

Fort Worth, TX 76131

Remote
New, Posted 12 hours ago
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Solutions Analyst

Canon USA

Irving, TX 75063

$76,150-$114,040/yr
~ 18 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelor's degree or equivalent of 5+ years successfully supporting software sales with an internal Sales team
  • Direct Sales experience is a plus
  • Thorough understanding of Information Technology systems and terminology
  • Required industry certifications include CompTIA Cloud Essentials+
  • CompTIA Project+
  • CompTIA Security+
  • You must be legally authorized to work in the United States
  • The Company will not pursue or support visa sponsorship
  • All applicants must reside in the United States at the time of hire
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Engineer/Sr Engineer, IT SOA Middleware

American Airlines

Fort Worth, TX 76101

~ 19 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent 3 years experience/training
  • Experience working in Apigee Edge, Microgateway and Developer Portal
  • Well-rounded technical background in:
  • O Apigee Edge and Microgateway
  • O Combination of Development, Administration and Support experience in several of the following tools/platforms required:
  • O Cloud-based development: Kubernetes and micro-services
  • O Web Services: REST (JSON/WSDL/XML)
  • O Frameworks: Python, FastAPI, Typescript, Node.js
  • O Front-end: Angular, React
  • O Build/deployment tools: Git, Jest, Yarn
  • O Scripting: Python, Unix, SQL
  • O CI/CD: GitHub, Azure DevOps
  • O Infrastructure as code (Docker, Kubernetes, Terraform, Ansible, Puppet)
  • O API development
  • O GitHub, and developing GitHub Actions
  • Well versed in SOA and RESTful services and consuming the services.
  • O Good understanding of Apigee Architecture
  • O Good experience in developing customized policies in Apigee
  • Implementing Enterprise security using BasicAuth, oAuth, SSL and certificates
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New, Posted 8 hours ago
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Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr
~ 23 min OnsiteUrgently Hiring

  • Mechanical Engineering or Manufacturing Engineering student in their 2nd, 3rd, or 4th year of studies
  • CAD Modeling Experience (ideally SolidWorks)
  • 3D Printing Experience (using Simplify3d software)
  • Design & Build Experience (i.e. Robot team, Catapult Team, HPVC Team, or personal projects)
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