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Aws Cloud Devops Engineer

Dallas,TX

2690 Aws Cloud Devops Engineer 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, IT Software

American Airlines

Fort Worth, TX 76101

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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.
SmartExplore AI is experimental.
View now
Apply Directly

AWS Cloud Infrastructure & DevOps Engineer with Security Clearance

Gridiron IT Solutions

Dallas, TX 75201

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.
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Information Technology Professional (IT Support)

U.S. Navy

Dallas, TX 75217

Easy Apply

Remote Customer Service

Hire Standard Staffing

Dallas, TX

$120,000/yr
RemoteHealth Insurance

  • Must be a U.S. or Canadian citizen
SmartExplore AI is experimental.
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ResumeLibrary

Remote Data Entry Operator Full & Part Time

Apex Focus Group

Grand Prairie, TX 75051

$750/wk
Remote
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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 min OnsiteFlexible Schedule

  • 3-6 years of professional technical writing experience in aerospace, defense, or a similarly regulated industry; direct exposure to joint or multi‑agency programs preferred.
  • Familiarity with systems engineering concepts, system architecture, and/or basic hardware/software terminology; ability to read schematics, block diagrams, and/or software code excerpts.
  • Bachelor's degree in Engineering, Computer Science, Technical Communication, or a related technical field.
  • Ability to obtain and maintain a Secret (or higher) clearance as required by the program.
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret
SmartExplore AI is experimental.
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UPS - Warehouse Worker/Package Handler $21+/hr

UPS

Dallas, TX 75243

$21/hr
No Experience
New, Posted 1 day ago

Remote Online Tasks – Earn Up to $1,500/month Playing Games

Free Cash

Dallas, TX 75388

$1,500/mo
Remote
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What companies are hiring Aws Cloud Devops Engineer jobs in Dallas,TX?

  1. Fidelity Investments
  2. American Airlines
  3. Gridiron IT Solutions
  4. Horace Mann
  5. U.S. Navy
  6. Hire Standard Staffing
  7. Apex Focus Group
  8. Lockheed Martin
  9. UPS
  10. Free Cash

What is the hourly salary range for Aws Cloud Devops Engineer jobs in Dallas,TX?

The hourly salary range is $21 - $21.

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