928 Architecture Engineering jobs in Arlington,TX

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Associate, Enterprise Architecture (Hybrid Position)

Santander Holdings USA

Dallas, TX 75201

Hybrid~ 37 min

Bachelor's Degree or equivalent work experience: Computer Management, Management Information Systems, Computer Engineering, System Analysis or a equivalent field. - Required.
5+ Years Information Technology or a related field. - Required.
Knowledge of Enterprise Architecture practices and processes required.
Ability to multi-task and adhere to deadlines.
Ability to adapt to rapidly changing business environment.
Ability to adjust to new developments/changing circumstances.
Ability to influence others.
Ability to lead and mentor junior level professionals.
Ability to communicate at a technical, business, or executive level.
Ability to leverage technology to improve and automate business tasks.
Ability to maintain and report on confidential information in an appropriate manner.
Strong Project Management skills.
Excellent written and verbal communication skills.
Demonstrated proficiency in Enterprise Architecture consultancy, or ability to perform at proficient level of competence.
Strong attention to details and can analyze information quickly.
Proficiency in MS Word and MS Excel.
Strong verbal and written communication skills.
Ability to understand business requirements and translate into architectural deliverables.

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 26 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

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Architectural Specifications Writer

ECS Southwest, LLP

Carrollton, TX 75006

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Architectural Designer III - Dallas Regional Office

Dominium Management Services

Dallas, TX 75215

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 26 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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Remote Controls Engineer III

Shermco Industries

Irving, TX 75061

$150,000/yr

Remote

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Civil Professional Engineer - Treatment

Parkhill

Fort Worth, TX 76102

Flexible Schedule

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Lead Software Engineer (Conference Navigator)

Gartner

Irving, TX 75039

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Mechanical Engineer III / IV (Technical Focus)

TDIndustries

Dallas, TX 75215

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Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

~ 19 min OnsiteHealth InsuranceRetirement Benefit

Bachelor of Science Degree in Mechanical, Electrical, or Industrial Engineering (appropriate for the assigned area) and five (5) year experience
Must possess basic knowledge of tooling design methods and machine tool programming
Ability to use Microsoft Office and CAD software
Ability to communicate effectively both orally and written
Ability to communicate and work as a team member

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