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Aws Devops Engineer Science

Irving,TX

1897 Aws Devops Engineer Science jobs in Irving,TX

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Principal Engineer - Python API Development

Fidelity Investments

Coppell, TX 75019

~ 22 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.
SmartExplore AI is experimental.
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

OnsiteUrgently HiringEducation 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.
SmartExplore AI is experimental.
View now
Apply Directly

Developer/Sr Developer, IT Applications

American Airlines

Fort Worth, TX 76101

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AWS Cloud Infrastructure & DevOps Engineer with Security Clearance

Gridiron IT Solutions

Dallas, TX 75201

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Product Development Technician - Prototype Fabrication (R&D Lab)

Corning

Keller, TX 76248

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • High School Diploma or equivalent
  • 2-6 years of experience in fabrication, machining, and/or 3D printing.
  • Ability to read and interpret engineering drawings and schematics.
  • Familiarity with power tools and small machine shop equipment.
  • Strong attention to detail, organization, and commitment to quality.
  • Strong communication, teamwork, and problem-solving skills.
  • Ability to adapt to changing project needs.
SmartExplore AI is experimental.
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EPIC ODB Engineer / Architect - Remote

NTT DATA Americas

Plano, TX 75086

Remote

  • 7–10+ years of experience supporting Epic as an ODBA, DBA, or database architect.
  • Epic certifications in Chronicles, ODBA, or related technical modules (e.g., Cache/IRIS).
  • 7–10+ years ofDeep expertise with InterSystems Caché/IRIS, including globals, journaling, shadowing, and performance tuning.
  • 7–10+ years of strong understanding of Epic architecture, including Hyperspace, Interconnect, Web Blob, and ancillary systems.
  • 7–10+ years of Proficiency with Linux/UNIX administration and shell scripting.
  • 7–10+ years of Experience with high‑availability architectures, clustering, SAN/NAS storage, and virtualization.
  • 7–10+ years of Strong analytical and troubleshooting skills for complex, high‑volume clinical systems.
SmartExplore AI is experimental.
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New, Posted 16 hours ago
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Manager, AI Engineer

KPMG

Dallas, TX 75217

~ 24 min OnsiteHealth InsuranceRetirement Benefit

  • Minimum five years of recent professional experience in AI/ML, data engineering, or cloud solution engineering, with a minimum two years in a consulting or client-facing leadership role
  • Master's degree from an accredited college or university preferred; minimum of a Bachelor's degree from an accredited college or university in computer science, data science, engineering, or related field required
  • Professional certifications in cloud AI/ML platforms (for example: Azure AI Engineer Associate, AWS ML Specialty, Google Cloud ML Engineer) are a plus
  • Track record of delivering AI/ML solutions at enterprise scale, including integrations with core business systems with demonstrated ability to lead technical teams, manage deliverables, and build trusted client relationships
  • Hands-on expertise with at least two major cloud AI platforms (Azure AI/ML, AWS Bedrock/SageMaker, or Google Cloud Vertex AI)
  • Proficiency in Python (and/or other relevant languages) with strong experience in API development, microservices, containers, and CI/CD pipelines
  • Familiarity with MLOps frameworks (model monitoring, retraining pipelines, drift detection) and modern data engineering practices
  • Experience in building conversational AI/chatbots, generative AI use cases, or AI-powered automation solutions
  • Knowledge of AI security, data privacy, governance, and ethical AI frameworks
  • Strong problem-solving skills with the ability to translate complex technical concepts for executives
  • Excellent verbal and written communication skills, with experience creating client-facing deliverables
  • Willingness and ability to travel
  • 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
SmartExplore AI is experimental.
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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

~ 24 min 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.
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Remote Customer Service

Hire Standard Staffing

Irving, TX

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
SmartExplore AI is experimental.
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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 20 minFlexible 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.
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New, Posted 10 hours ago

IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

Onsite

  • Bachelor's degree in Computer Science, Architecture, Information Systems, Electrical Engineering or related field preferred, or four years of relevant experience required.
  • Five years of increasingly responsible Enterprise architecture experience in Healthcare Hospital systems environments with a wide variety of Information Services applications and technologies is required.
  • Extensive technical knowledge of Healthcare Hospital systems, databases, networks, operating systems and Information Management “Best Practices”, including: local and wide area networking, network protocols and routing; network, server, and host operating systems; Interoperability, data storage and retrieval systems; system backup and recovery; IP networking, internet and intranet technologies; email, groupware, office automation and collaboration technologies; voice and/or data communications; voice and/or data networking; video conferencing and telemedicine; server hardware, software, and administration.
  • Security model understanding and maintenance
  • Solid understanding of Business Intelligence/Data Warehouse environment with involvement in design and development of database solution in both traditional as well as columnar databases.
  • Experience in data integration with ETL techniques and frameworks
  • Experience in Big Data querying tools, such as Hive, Impala and Spark SQL
SmartExplore AI is experimental.
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  1. Irving,TX Jobs
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  3. Aws Devops Engineer Science Jobs

What companies are hiring Aws Devops Engineer Science jobs in Irving,TX?

  1. Fidelity Investments
  2. American Airlines
  3. Gridiron IT Solutions
  4. Corning
  5. NTT DATA Americas
  6. KPMG
  7. Johnson Controls
  8. Hire Standard Staffing
  9. Lockheed Martin
  10. CHRISTUS Health

What is the yearly salary range for Aws Devops Engineer Science jobs in Irving,TX?

The yearly salary range is $120000 - $120000.

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