1969 Site Reliability Devops Engineer jobs in Dallas,TX

New, Posted 8 hours ago

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Automation Engineer , RME Regional SSD-FC

Amazon.com Services LLC - A57

Irving, TX 75061

~ 22 min OnsiteUrgently HiringFlexible ScheduleHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of PLC programming or automation engineering experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of Ladder Logic and structured programming from Siemens, Allen-Bradley, or Codesys PLCs experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of process or production environment related PLC-controlled automation and issue diagnosis experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience
Bachelor's degree in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience

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New, Posted 11 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 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.

New, Posted 8 hours ago

Recommended

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Automation Engineer

Amazon.com Services LLC

Dfw Airport, TX 75261

Flexible Schedule

New, Posted 8 hours ago

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Automation Engineer , RME Regional SSD-FC

Amazon.com Services LLC - A57

Irving, TX 75061

Flexible Schedule

New, Posted 11 hours ago

Recommended

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Principal Engineer - Python API Development

Fidelity Investments

Fort Worth, TX 76102

~ 44 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.

New, Posted 1 day ago

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Principal Engineer, IT End User Compute

American Airlines

Fort Worth, TX 76101

New, Posted 9 hours ago

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DevOps Product Manager

Forhyre

Plano, TX 75025

New, Posted 1 day ago

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DevOps and Tools Engineer

Fisher Investments Careers

Dallas, TX 75217

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Project Manager III- Substation (On Site Position)

New River Electrical Corporation

Southlake, TX 76092

~ 36 min Onsite

Bachelor's degree in engineering, construction management, business, project management, or related field of study with a minimum of five (5) years of construction project management experience including two or more (2) years as a Project Manager II role or similar capacity and a minimum of two (2) years leading, developing, and motivating teams
Experience without bachelor's degree (one of the following):
Minimum of eight (8) years of field experience with three (3) years in the supervision of construction operations and a minimum of four (4) years of construction management experience, preferably in an Project Manager II role or similar capacity.
Minimum of eight (8) years of field experience with five (5) years in the supervision of construction operations and a minimum of two (2) years of construction management experience, preferably in a Project Manager II role or similar capacity.
Excellent verbal and written communication skills.
Demonstrated skills in providing leadership, motivation, vision and direction.
Proven success in developing and maintaining customer relationships.
Extensive knowledge of the principles, procedures, and best practices in the industry.
Excellent organizational skills and attention to detail.
Strong analytical and problem-solving skills.
Proficient with Microsoft Office Suite or related software.

SmartExplore AI is experimental.

New, Posted 9 hours ago

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