3363 Aws Cloud Engineer Remote Work jobs in Dallas,TX
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Principal Engineer - Python API Development
Fidelity Investments
Irving, TX 75061
~ 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
Euless, TX 76039
~ 28 min 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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Benefits Specialist - Remote (Virtual)
Giddens Organization
Dallas, TX
Remote
- Benefits Representative
- 100% Virtual
- 40 Hours per Week
- 65,000-80,000
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Remote Customer Service
Hire Standard Staffing
Dallas, TX
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
New, Posted 1 day ago
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Engineer/Sr Engineer, IT Software
American Airlines
Fort Worth, TX 76101
~ 44 min Onsite
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 3+ years of experience designing, developing, and implementing large-scale solutions in production environments
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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.
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Benefits Specialist - Remote
Serur Organization
Dallas, TX
Remote
- Customer Service Rep Work From Home
- Benefits Representative
- Remote work
New, Posted 1 day ago
Remote Online Tasks – Earn Up to $1,500/month Playing Games
Free Cash
Dallas, TX 75202
$1,500/mo
Remote
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Information Technology Professional (IT Support)
U.S. Navy
Dallas, TX 75217
New, Posted 5 hours ago
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Manager, AI Engineer
KPMG
Dallas, TX 75217
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
New, Posted 9 hours ago
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Applied Early Career Program - Field Service Engineer (DALLAS)
Applied Materials
Dallas, TX 75201
What companies are hiring Aws Cloud Engineer Remote Work jobs in Dallas,TX?
- Fidelity Investments
- Giddens Organization
- Hire Standard Staffing
- American Airlines
- NTT DATA Americas
- Serur Organization
- Free Cash
- U.S. Navy
- KPMG
- Applied Materials
- Fidelity Investments
- Giddens Organization
- Hire Standard Staffing
- American Airlines
- NTT DATA Americas
- Serur Organization
- Free Cash
- U.S. Navy
- KPMG
- Applied Materials
What is the yearly salary range for Aws Cloud Engineer Remote Work jobs in Dallas,TX?
The yearly salary range is $120000 - $120000.
The yearly salary range is $120000 - $120000.
