1108 Software Engineer jobs in Hurst,TX

~ 19 min OnsiteUrgently HiringFlexible Schedule

Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

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

New, Posted just now

~ 10 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Engineer - Python API Development

Fidelity Investments

Bedford, TX 76022

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.

New, Posted just now

~ 12 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

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.

New, Posted 8 hours ago

iHire

AI Engineer

Capital One

Plano, TX 75023

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

New, Posted 17 hours ago

DiversityJobs

Sr/Staff AI Engineer (Remote - US)

BNSF Railway

Fort Worth, TX 76131

Remote

New, Posted 17 hours ago

DiversityJobs

Staff Infrastructure Software Engineer (Remote - US)

BNSF Railway

Fort Worth, TX 76131

Remote

New, Posted 12 hours ago

~ 18 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Easy Apply

Solutions Analyst

Canon USA

Irving, TX 75063

$76,150-$114,040/yr

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

New, Posted 1 day ago

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Engineer/Sr Engineer, IT SOA Middleware

American Airlines

Fort Worth, TX 76101

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

~ 23 min OnsiteUrgently Hiring

Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr

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)