1005 Cloud Data Center Systems Engineer jobs in Dallas,TX

Recommended

Apply Directly

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

Keurig Dr Pepper

Frisco, TX 75033

Hybrid~ 29 minUrgently HiringEducation 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

SmartExplore AI is experimental.

Recommended

Apply Directly

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

Recommended

DiversityJobs

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

Gartner

Irving, TX 75039

Recommended

Easy Apply

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.

New, Posted 1 day ago

Recommended

DiversityJobs

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

Gartner

Irving, TX 75039

Apply Directly

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

SmartExplore AI is experimental.

New, Posted 17 hours ago

Recommended

Apply Directly

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.

Apply Directly

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.

SmartExplore AI is experimental.

New, Posted 1 day ago

Apply Directly

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

SmartExplore AI is experimental.

Apply Directly

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.