1340 Director Developer Enablement 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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Sr Manager, IT Applications
American Airlines
Fort Worth, TX 76101
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Principal Engineer - Python API Development
Fidelity Investments
Southlake, TX 76092
~ 36 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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Senior Director, Enterprise Architecture
Keurig Dr Pepper
Frisco, TX 75033
~ 29 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit
- Master's or Bachelor's degree in related field (e.g., Computer Science, Computer Engineering, Electrical Engineering, Information Technology, System Analysis, etc.) or equivalent combination of education and work experience
- Multiple years of experience in leading an Enterprise Architecture team
- Typically, 10+ years of experience in IT and business/industry including strategic and operations planning
- Typically, 10+ years of experience in at least three disciplines, such as business, information, solution, or technical architecture, application development, middleware, information analysis, database management, or operations
- Experience in working in multiple, diverse technologies and processing environments.
- Native-level proficiency/fluent in English
- Experience in DevOps and Agile technology environments
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Work From Home Benefits Advisor - Entry Level
Hire Standard Staffing
Dallas, TX
$120,000/yr
RemoteHealth Insurance
- Must be a U.S. or Canadian citizen
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
ResumeLibrary
Data Encoder (Part Time)
Apex Focus Group
Dallas, TX 75215
$750/wk
Remote
Technology Director
ARAMARK
Dallas, TX 75215
Requires Travel
- Bachelor?s degree in Information Technology, Computer Science, Business, or a related field required;
- 6+ years of progressive experience in IT leadership, digital strategy, or technology management roles.
- Military experience required ? active duty, reserve, or direct professional experience working with or within a military installation environment.
- Familiarity with the operational tempo, compliance expectations, and technology constraints of a federal contracting environment is essential.
- Proven expertise in project management, with demonstrated ability to lead large, complex technology initiatives with measurable results.
- Strong background in IT strategy, digital transformation, and cross-functional collaboration in a multi-site or distributed operations environment.
- Excellent communication, executive presentation, and internal stakeholder management skills.
- Willingness to travel to support strategic business needs and new installation openings.
New, Posted 4 hours ago
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Applied Early Career Program - Field Service Engineer (DALLAS)
Applied Materials
Dallas, TX 75201
UPS - Warehouse Worker/Package Handler $21+/hr
UPS
Dallas, TX 75243
$21/hr
No Experience
Frito-Lay - Warehouser/Material Handler $18-$26/hr
Frito Lay
Dallas, TX 75216
$18-$26/hr
No Experience
What companies are hiring Director Developer Enablement jobs in Dallas,TX?
- Fidelity Investments
- American Airlines
- Keurig Dr Pepper
- Hire Standard Staffing
- Free Cash
- Apex Focus Group
- ARAMARK
- Applied Materials
- UPS
- Frito Lay
- Fidelity Investments
- American Airlines
- Keurig Dr Pepper
- Hire Standard Staffing
- Free Cash
- Apex Focus Group
- ARAMARK
- Applied Materials
- UPS
- Frito Lay
What is the hourly salary range for Director Developer Enablement jobs in Dallas,TX?
The hourly salary range is $18 - $26.
The hourly salary range is $18 - $26.
