1249 App Security Engineer Devsecops Dast jobs in Dallas,TX

Minimum one year of recent experience in a relevant field, with a strong interest in cybersecurity, and a basic understanding of cybersecurity principles, technologies, and network defense concepts.
Bachelor's degree in computer science, information technology, cybersecurity, management information systems, or a related field is required
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

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Information Technology Professional (IT Support)

U.S. Navy

Dallas, TX 75217

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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 min OnsiteFlexible 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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Developer/Sr Developer, IT Applications

American Airlines

Fort Worth, TX 76101

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Lead Security Systems Technician

Active Security Consulting LLC

Dallas, TX 75201

Onsite

Graduate
Minimum of 5 years in electronic security, including systems integration, administration, and advanced troubleshooting, with a focus on compliance and adherence to government and independent standards
Completion of at least four industry certifications in electronic security and systems integration
Travel to projects and stay overnight for varying lengths of time
Background check
Valid driver's license
Eligible for U.S. Government Security Clearance
Ability to work in a team environment
Ability to handle prolonged tasks
Ability to handle up to 50 pounds
Ability to work at heights
Ability to work in diverse environments
Maintaining company-issued tools, vehicles, and equipment

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

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Remote Customer Service

Hire Standard Staffing

Dallas, TX

$120,000/yr

RemoteHealth Insurance

Must be a U.S. or Canadian citizen

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IT Professional

U.S. Navy

Dallas, TX 75217

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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.