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Enterprise Systems Software Engineer

Dallas,TX

1262 Enterprise Systems Software Engineer jobs in Dallas,TX

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Technical Writer - Level 3

Lockheed Martin - Fort Worth, TX

Lockheed Martin - Fort Worth, TX

Technical Writer - Level 3
~ 44 min OnsiteFlexible Schedule
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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 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.
View now
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Sr Manager, IT Applications

American Airlines

Fort Worth, TX 76101

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Technical Writer

Megger

Dallas, TX 75217

Onsite

  • University degree in technical writing, English, journalism, or communications
  • Native-level proficiency in English, both verbal and written
  • Strong working knowledge of all Adobe Creative Cloud applications, including InDesign, Photoshop, Acrobat Pro, and Illustrator
  • Strong working knowledge of all Microsoft Office applications
  • Familiar with content development for instructional material
  • Technically oriented; understand, articulate and be able to write technical subjects
  • Exceptional professional written and oral communication skills
  • Analyze content/needs; structure and design curricula
  • Experience working with complex concepts and translating them into concise, clear language
  • Ability to quickly grasp complex technical concepts and make them easily understandable
  • Take a raw copy of a document, format, and organize the document
  • Research, prepare and edit complex technical documents
  • Experience in creating high-quality documentation with attention to formatting, voice, and audience
  • Able to work under the pressures of deadlines and other demands
  • Experience handling multiple projects, and time management to meet project deadlines
  • Teamwork and collaboration skills
  • This position is not a remote position
  • Experience content/needs; structure and design curricula
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Information Technology Professional (IT Support)

U.S. Navy

Dallas, TX 75217

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Quality Assurance Analyst

Capco

Dallas, TX 75217

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of experience in Quality Assurance, Software Testing, or a related discipline.
  • Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and defect management processes.
  • Experience developing test cases, executing test plans, managing defects, and supporting user acceptance testing activities.
  • Bachelor's degree or equivalent professional experience.
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Application System Analyst Lead - HB/PB/HIM

CHRISTUS Health

Irving, TX 75039

Urgently Hiring
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CODER 2 MMG

Methodist Health System

Dallas, TX 75215

OnsiteHealth InsuranceRetirement Benefit

  • A minimum of 2 years recent experience in the outpatient (primary care & surgical) setting.
  • Must hold Certified Professional Coder (CPC) or Certified Coding Specialist – Physician (CCS-P) with the appropriate level of experience
SmartExplore AI is experimental.
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