1009 Datacenter And Cloud Engineer jobs in Dallas,TX

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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

OnsiteHealth InsurancePaid Time OffRetirement Benefit

Based in the Dallas, TX area
Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
Strong understanding of account planning, solution selling, and project-based business development.
Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
Excellent communication, negotiation, presentation, and relationship management skills.
Ability to travel up to 75% across the Americas.

SmartExplore AI is experimental.

New, Posted 1 day ago

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Software Engineer (AWS/Kubernetes) - Cloud Center of Excellence

Gartner

Irving, TX 75039

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Principal Business Quality Analyst (BQA) -Salesforce Commerce Cloud eB2B

Keurig Dr Pepper

Frisco, TX 75033

Hybrid~ 29 minEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in related field (e.g., Computer Engineering, Information Systems, etc.) or equivalent combination of education and work experience.
Typically, 8+ years of experience in business analysis, quality assurance, or a hybrid BQAtype role supporting enterprise platforms
5+ years of DSD industry and Tell sell experience preferred.
Demonstrated handson experience with digital commerce, ordering, or customerfacing platforms (eCommerce, eB2B, tell sales, portals, or sales ordering systems)
Experience working with Salesforce platforms, preferably Commerce Cloud, B2B Commerce, or integrated eB2B solutions
Proven ability to translate business requirements into clear, testable acceptance criteria
Strong communication skills with the ability to collaborate effectively with Product, Engineering, QA, and business stakeholders
Ability to identify gaps, risks, and edge cases early to protect solution quality and business outcomes
Should have strong analytical, critical thinking, process modeling and decision making skills
Native-level proficiency/fluent in English.
Experience validating end-to-end order-to-cash or order lifecycle flows across integrated systems
Experience working in DevOps and Agile technology environments. (preferred)
Collaborate and share lessons learned regarding performance and reliability issues with all stakeholders including developers, other SREs, operations teams, and project management teams.
Salesforce Commerce Cloud, OCM or related Salesforce certification preferred

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New, Posted 20 hours ago

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Senior Associate, Cloud Engineer - Terraform

KPMG

Dallas, TX 75217

Minimum three years of recent experience in IT infrastructure technology management and architecture including IaaS/PaaS/DevOps cloud transformation programs and infrastructure automation, prior system/storage; admin/engineering experience and consulting experience; four years of cloud strategy, migration, and transformation leadership including cloud services (IaaS/PaaS) implementation & migration, including Azure or AWS
Bachelor's degree in Computer Sciences from an accredited college/university
Master of Business Administration (MBA) is preferred
Past or current certifications (e.g. Microsoft, AWS, Cisco, Azure, VMware) is preferred
Terraform highly perferred
Technology experience, including IaaS/PaaS (Azure or Amazon Web Service), infrastructure automation/orchestration technologies (e.g. Chef, Puppet, BladeLogic), server, storage, high availability architecture and infrastructure transformation from strategy to design and implementation
Ability to travel as needed
Must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

SmartExplore AI is experimental.

New, Posted 1 day ago

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Senior Software Engineer (AWS/Kubernetes) - Cloud Center of Excellence

Gartner

Irving, TX 75039

New, Posted 1 day ago

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Data Center/Chiller Technician

Trane Technologies

Carrollton, TX 75007

~ 27 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

A High School Diploma or GED equivalent is required.
5+ years of experience in HVAC providing expertise in the systems level knowledge.
Proven experience performing start‑up of air‑cooled and water‑cooled chillers, including system preparation, commissioning procedures, operational verification, and post‑start performance checks and repairs.
Proficient utilization of software to connect and check chiller operation.
EPA Certification required.
Must possess a valid driver's license for a minimum of 12 months, with no major or frequent traffic violations including, but not limited to: DUI, Hit & Run, License Suspension, Reckless / Careless Driving or multiple smaller infractions or preventable collisions in the previous 3 years.

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New, Posted 1 day ago

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Lead Cloud & Platform Service Manager

McKesson Careers

Irving, TX 75061

$226,800/yr

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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.

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New, Posted 20 hours ago

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Manager, SAP S4 Public Cloud Asset Management (A2R) Lead

KPMG

Dallas, TX 75217

Onsite

Minimum six years of recent experience in external management consulting, including at least two full lifecycle SAP S/4HANA Public Cloud implementation with responsibility for Asset to Retire (A2R) and Asset Accounting processes
Experience supporting at least two S4 Public Cloud implementations involving fixed asset accounting, capital projects, CIP, asset capitalization, depreciation, and retirements, with the ability to contribute to fit to standard workshops and business centric solution design
Strong understanding of SAP S/4HANA Public Cloud Asset Accounting configuration, including asset classes, depreciation areas, capitalization rules, investment measures, and integration with Financial Accounting and Controlling
Proven delivery execution skills across SAP Activate phases, including design, build, testing, cutover, and hypercare, with experience supporting asset reconciliation, period end close, and audit readiness
Travel may be up to fifty to eight percent
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future. KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)

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Domain Managing Architect - Cloud

Horace Mann

Plano, TX 75074

~ 27 min Onsite

15+ years of IT experience with 8+ years in architecture leadership roles
Proven experience leading cloud transformation and legacy modernization programs at enterprise scale
Brings broad cross-domain knowledge spanning enterprise and solution architecture, data platforms, integration, infrastructure, networking, and security to design scalable, secure, and resilient enterprise solutions.
Experience working within an Enterprise Architecture framework (e.g., TOGAF).
Fluency in modern architecture practices, including cloud-native, microservices, event-driven, and AI-enabled architectures.
Proven experience leading legacy modernization and enterprise cloud transformation initiatives across complex technology landscapes.
Ability to define and govern enterprise architecture standards, patterns, reference architectures, and technology roadmaps aligned with business strategy.
Expertise in creating architecture artifacts and diagrams (e.g., Visio, draw.io).
Collaborate with business leaders, IT leadership, and engineering organizations to translate strategic objectives into scalable technology solutions.
Experience in risk management and executive-level presentations.
Knowledge of FinOps and Cloud cost optimization strategies
Demonstrated ability to lead across organizational boundaries and drive consensus.

SmartExplore AI is experimental.