1168 Software Engineer Cybersecurity Services jobs in Dallas,TX

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

Top Tempo Technical - Dallas, TX

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

Onsite

New, Posted 1 day ago

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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 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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New, Posted 22 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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.

New, Posted 22 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 33 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.

New, Posted 1 day ago

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Sr Principal Solution Architect, IT Cybersecurity Operations

American Airlines

Fort Worth, TX 76101

Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training
12+ years experience in Cybersecurity Architecture
Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks
Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives
Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Incident Handler (GCIH); Certified Information Systems Auditor (CISA); Certified Ethical Hacker (CEH); CompTIA Security+; Certified SOC Analyst (CSA)

SmartExplore AI is experimental.

New, Posted 6 hours ago

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AI Engineer

Capital One

Plano, TX 75023

New, Posted 1 day ago

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Program Planner - TX [SECRET]

Lockheed Martin

Grand Prairie, TX 75051

Paid Relocation to Grand Prairie, TX

RemoteUrgently HiringFlexible Schedule

Active DoD SECRET clearance for consideration
Knowledge of Schedule Performance Management Techniques, e.g. Earned Value Management
Experiences with networked schedules, critical path methodology
Exposure to Network scheduling tools (MS Project, Open Plan, Primavera, etc)
Proficient with Microsoft Office applications
Demonstrated critical thinking and problem-solving abilities
Experiences delivering briefings to team members and project teams
Bachelor's degree
3 years or more of experience in planning or program management related discipline
Integrated Master Schedule (IMS) development and maintenance
Work Breakdown Structure (WBS) Development
Proposal knowledge
Integrated Master Plan (IMP) knowledge
Advanced Excel skill set including macros, lookup tables and VBA
Exposure to Schedule Risk Assessment process/tools
Ability to communicate utilizing different techniques and build strong relationships
The position requires US Citizenship or US Person status as part of security clearance