1353 Infrastructure Engineer Crypto jobs in Dallas,TX

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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 28 minUrgently HiringFlexible Schedule

Bachelor's degree or equivalent experience
Ability to communicate effectively
High attention to detail
Knowledge of tool design
Microsoft Office experience
General knowledge of mechanical manufacturing processes
Experience with PLM, MRP, & ERP systems is preferred
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible
Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires TravelUrgently Hiring

Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
Basic mechanical aptitude and interest in technical systems
Willingness to learn and read electrical and mechanical schematics
Ability to diagnose and solve basic technical problems
Strong written and verbal communication skills
Basic working knowledge of Microsoft Excel, Word, and PowerPoint
Valid driver's license and ability to obtain a passport, if required for travel
Ability to meet on-site safety, environmental, and customer requirements

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Account Services Specialist - ITSM, ITIL

NTT DATA Services, LLC

Addison, TX 75001

New, Posted 1 day ago

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Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 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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Manufacturing Engineer Asc (Level 1)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteUrgently HiringFlexible SchedulePaid Time Off

Bachelor's degree in Manufacturing Engineering Technology, a similar field, or equivalent experience
Proven track record of data driven approach to solving problems
Strong communication skills
MUST BE A U.S. CITIZEN
This position is located at a facility that requires special access
The selected candidate must be able to obtain a Secret clearance
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
Clearance Level: Secret
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Possible

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Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

BS degree in engineering or related discipline with at least 3 to 5 years of direct or related experience - required
Or minimum 8-10 years working experience as a Manufacturing Engineer or related engineering position of responsibility with demonstrated engineering competency may be considered in place of formal college degree with associated experience
Demonstrates accuracy and proficiency in execution of job responsibilities - required
Good interpersonal and training skills - required
Strong electro-mechanical troubleshooting skills - required
PC literate - required
Strong attention to detail - required

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Manufacturing Engineering Manager

OIL STATES INDUSTRIES

Arlington, TX 76001

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

BS degree (Mechanical or Industrial Engineering preferred) with at least 7 years of engineering and tooling design experience, or at least 11 years of extensive experience in engineering and tooling design without a degree.
CAD software experience (AutoCAD/Solidworks)
Advanced mathematical capabilities
Good written and verbal communication skills
Proficiency with Word, Excel
Knowledge of basic plant operations
By contractual requirements this position requires that all persons establish proof of US Citizenship. Dual Citizenship (US citizenship and citizenship of some other country) cannot be accepted. You will be required to provide original or certified copies of documents establishing your citizenship prior to consideration for this position.

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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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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 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.