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.
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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.
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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.
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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.
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
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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.
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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
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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.
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
What companies are hiring Aws Devops Engineer Science jobs in Irving,TX?
- Fidelity Investments
- American Airlines
- Gridiron IT Solutions
- Corning
- NTT DATA Americas
- KPMG
- Johnson Controls
- Hire Standard Staffing
- Lockheed Martin
- CHRISTUS Health
- Fidelity Investments
- American Airlines
- Gridiron IT Solutions
- Corning
- NTT DATA Americas
- KPMG
- Johnson Controls
- Hire Standard Staffing
- Lockheed Martin
- CHRISTUS Health
What is the yearly salary range for Aws Devops Engineer Science jobs in Irving,TX?
The yearly salary range is $120000 - $120000.
The yearly salary range is $120000 - $120000.
