8063 Microsoft Systems Engineer jobs in Texas

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

Top Tempo Technical

Dallas, TX 75217

Onsite

5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
Demonstrated success generating new business and closing large commercial projects.
Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
Experience reviewing plans, specifications, and conceptual project requirements.
Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
Excellent presentation, negotiation, and communication skills.
Self-starter with exceptional organizational and time-management abilities.
Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.

SmartExplore AI is experimental.

New, Posted 3 hours ago

Data Center Technician

Amazon Data Services, Inc. - A19

Wink, TX 79789

Flexible Schedule

New, Posted 7 hours ago

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Engineer/Sr Engineer, IT Data

American Airlines

Fort Worth, TX 76101

Principal Data Center Systems Engineer

Dell Careers

Round Rock, TX 78664

New, Posted 1 day ago

Application System Analyst II - IM Support Business

CHRISTUS Health

San Antonio, TX 78251

Urgently Hiring

New, Posted 7 hours ago

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Application Engineer

Experis

Austin, TX 78759

$58-$80/hr

New, Posted 7 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Keller, TX 76244

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 9 hours ago

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Data Center Manager

Amazon Data Services

Wink, TX 79789

New, Posted 23 hours ago

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Network Engineer

GovCIO LLC

San Antonio, TX 78243

$125,000/yr

Onsite

High School with 9+ years (or commensurate experience)
Clearance Required: TS/SCI
Current CompTIA Security+ CE
Current CISCO Certified Network Associate (CCNA)

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New, Posted 11 hours ago

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Area Maintenance Manager

Amazon.com Services LLC - A57

Richmond, TX 77406

OnsiteFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Electrical Engineering, Mechanical Engineering, Engineering Technology, or Reliability Engineering, or 2+ years of Amazon RME (BB/3P) Full Time experience
Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays
4+ years of industrial maintenance experience
2+ years of direct leadership/supervisory experience
2+ years of Computerized Maintenance Management System (CMMS) experience
2+ years of Microsoft Office products and applications experience

SmartExplore AI is experimental.

New, Posted 7 hours ago

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