1397 Software Engineer Rdf Infrastructure jobs in Dallas,TX

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Technical Writer - Level 3

Lockheed Martin - Fort Worth, TX

Technical Writer - Level 3

~ 44 min OnsiteFlexible Schedule

New, Posted 10 hours ago

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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

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L-Manufacturing Engineer

The Crosby Group

Richardson, TX 75080

~ 18 min Onsite

Engineering B.S. required
2-7 years related
Proficient in design of tooling, manufacturing systems, and project management
CAM programming
Microsoft Word, Excel and PowerPoint
Ability to use precision measurement devices and knowledge of engineering drawings, blueprints and tolerances
Oral and written communication proficiency
PLC and controls experience preferred
Travel is required occasionally (driving/flying)
Must be able to work necessary hours to accomplish or complete job tasks. Occasional 50+ hour work week may be required
Exposure to moving mechanical parts, fumes, or airborne particles typical to a manufacturing environment
Familiar with CAD system and proficient with one AutoCAD compatible system or computer aided machining program

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IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

~ 22 min OnsiteUrgently Hiring

Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
Security model understanding and maintenance
Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
Experience in data integration with ETL techniques and frameworks
Experience in Big Data querying tools, such as Hive, Impala and Spark SQL

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Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr

~ 28 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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New, Posted 21 hours ago

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Commissioning Engineer

Amazon Data Services

Dallas, TX 75201

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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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Senior Associate, ServiceNow Software Asset Management (SAM)

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
Experience in IT process improvement within your own organization or as an external consultant
Strong business, technical, analytical, problem-solving, and verbal and written communication skills

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Principal Engineer - Python API Development

Fidelity Investments

Colleyville, TX 76034

~ 38 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

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Critical Engineer

JLL

Plano, TX 75024

~ 27 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

High school diploma or GED
Minimum 3 years of hands-on experience in data center or critical facility environments, specifically with UPS systems, emergency generators, and switchgear
Valid driver's license
Proficiency with computer applications including Word and Excel
Proven track record of delivering outstanding internal and external customer service
Availability to work after hours and weekends as required to maintain uninterrupted operations

SmartExplore AI is experimental.