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.
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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.
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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
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
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
What companies are hiring Aws Cloud Devops Engineer jobs in Dallas,TX?
- Fidelity Investments
- American Airlines
- Gridiron IT Solutions
- Horace Mann
- U.S. Navy
- Hire Standard Staffing
- Apex Focus Group
- Lockheed Martin
- UPS
- Free Cash
- Fidelity Investments
- American Airlines
- Gridiron IT Solutions
- Horace Mann
- U.S. Navy
- Hire Standard Staffing
- Apex Focus Group
- Lockheed Martin
- UPS
- Free Cash
What is the hourly salary range for Aws Cloud Devops Engineer jobs in Dallas,TX?
The hourly salary range is $21 - $21.
The hourly salary range is $21 - $21.
