1215 Site Reliability Engineer jobs in Aubrey,TX

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Senior RF Systems Engineer - On-Site

RTX

Mckinney, TX 75071

~ 27 min OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Typically requires a Bachelor's Degree in Science, Technology, Engineering or Mathematics (STEM preferred) and a minimum of 5 years of experience in Radar Systems Engineering and Algorithm Development to include Radar Systems, Software Engineering, Radar Signal Processing Techniques, Mathematical/Radar Mode Algorithm Development, Analytic Techniques and Digital Simulation Models (DSM)
Design and analyze Radar Receiver Architectures and Radar Mode Designs
Embedded GPS/INS (EGI) Systems
MATLAB and C or C++ (coding experience required)
The ability to obtain and maintain a U.S Government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance.

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Site Reliability Engineer

Optimum Communications

Plano, TX 75086

New, Posted 12 hours ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

New, Posted 1 hour ago

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Senior Specialist, Software Engineering

L3Harris Technologies

Plano, TX 75023

Bilingual Preferred

New, Posted 1 day ago

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Field Systems Engineer

Terabase Energy

Dallas, TX 75217

New, Posted 1 day ago

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Senior Project Engineer

Mantis Innovation

Dallas, TX 75217

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Principal Engineer - Python API Development

Fidelity Investments

Highland Village, TX 75077

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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New, Posted 1 day ago

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Field Service Engineer, ARC

The ESAB Group

Denton, TX 76210

Requires Travel

Associate degree in electronic engineering technology or 2-3 years related experience; or equivalent combination of education and experience.
Exposure to high-voltage systems (240V, 460V, and 575V three-phase voltages).
Experience with structured training methodologies and learning management platforms (e.g., Critical Path, ESAB University).
Strong electrical and mechanical background and knowledge of equipment repair and troubleshooting.
Hands on experience repairing welding and cutting (or equivalent) equipment.
Effective problem-solving and analytical skills.
Proficient in project management tools such as Microsoft Project as well as Microsoft Office applications (Word, Excel, PowerPoint, and web-based training / LMS portals).
Ability to support the needs of and interact appropriately with cross-functional personnel.
Excellent customer relationship building skills and ability to work cross-functionally and culturally.
Excellent written and verbal communication skills and presentation skills are required.
Remains in a stationary position 50% of the time and involves additional physical demands such as ascending/descending stairs, walking stooping and standing.
Must wear Personal Protective Equipment 'PPE' when working/visiting manufacturing and plant locations.
Constantly operates a computer and other office productivity machinery including but not limited to printer, tablets, cell phones.
Moves transports, puts, or removes equipment weighing up to 50 lbs.; pushes, pulls products weighing up to 200 lbs. using provided safety tools.
May be exposed to varying weather during travel.

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