815 Aws Devops Engineer Security jobs in Dallas,TX

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Principal Engineer, IT Software

American Airlines

Fort Worth, TX 76101

Urgently Hiring

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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.

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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required

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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 31 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 22 hours ago

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Manufacturing Engineer Sr

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible Schedule

Bachelor's degree in Mechanical, Electrical, Manufacturing or other STEM engineering degree
Experience in a manufacturing environment, with a proven record of influencing production processes through process improvement initiatives
Strong project- and time-management skills to effectively coordinate multiple concurrent activities and deliver results on tight program schedules.
Demonstrated effective communication & interpersonal skills (verbal, written, presentation) and relationship‑building with customers, suppliers, and internal disciplines
Ability to obtain a security clearance.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must possess an active Secret clearance to start.
This position requires a government security clearance, you must be a US Citizen for consideration.

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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
Must be eligible to work in the United States without sponsorship.

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Lead, Antenna Design Electrical Engineer

L3 Harris

Rockwall, TX 75087

~ 32 min OnsiteBilingual Preferred

Bachelors in engineering or other related field with 9 years of related experience.
Graduate degree and a minimum of 7 years of related experience.
In lieu of a degree, minimum of 13 years of prior related experience.
Position requires the ability to obtain and maintain a DoD Secret Security Clearance
Antenna design experience for electromagnetics in the RF spectrum, including VHF, UHF, and microwave applications in the L, S, C, X, Ku, Ka, and V bands.
Experience with antenna element design including horns, dipoles, patch, PIFAs, loop, slot, helical, fractal, Vivaldi, Biconical, Log-periodic, Yagi, etc.
Experience with antenna simulation and analysis tools including HFSS, CST, SystemVue, Advanced Design System (ADS), MATLAB, and other ECAD design tools.
Ability to travel up to 10%.
Security clearances may only be granted to U.S. citizens.
Experience with design and analysis of antenna performance (gain, bandwidth, polarization, directivity, efficiency, etc.), RF Link Budgets and cascade analysis (gain, noise figure, linearity, noise power, etc.).

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Engineer Intern

Curtiss-Wright

Grand Prairie, TX 75052

$18-$21/hr

~ 28 min Onsite

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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Manufacturing Engineer

Lockheed Martin

Arlington, TX 76018

RemoteFlexible SchedulePaid Time Off

Bachelor's degree in an Engineering discipline
Professional experience structuring and creating MBOMs in SAP
Applied experience leveraging manufacturing and assembly process knowledge to translate engineering BOMs into accurate production workflows
Proficient in MS Office tools (Word, Excel, PowerPoint etc.)
Hands-on experience in tooling and fixturing
Ability to obtain and maintain a Secret security clearance, which requires U.S. citizenship
MUST BE A U.S. CITIZEN - The selected candidate must be able to obtain a secret clearance.
The position requires a government security clearance
Secret
Experience Level: Experienced Professional
Relocation Available: Possible
Shift: First
Schedule for this Position: 4x10 hour day, 3 days off per week
This position is located in Arlington, TX

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Manufacturing Engineer

Megger

Dallas, TX 75217

Onsite

Bachelor's degree in engineering
Analytical and mathematical proficiency
5-8 Years experience directly working in an electro-mechanical manufacturing industry
English fluency
Effective communication skills to interface with assembly personnel
Familiarity with Surface Mount and through hole assembly technologies
Experience with IPC 610 & ISO 9000 standards
Working knowledge of ERP systems, SAP preferred
Lean or Six Sigma Green Belt certification

SmartExplore AI is experimental.