954 Senior Devops Engineer jobs in Plano,TX

~ 17 min OnsiteUrgently HiringBilingual Preferred

Senior Specialist, Manufacturing Engineering

L3 Harris

Richardson, TX 75080

Bachelor's Degree and minimum 6 years of prior Manufacturing Engineering experience
Graduate Degree and a minimum of 4 years of prior Manufacturing Engineering experience
In lieu of a degree, minimum of 10 years of prior Manufacturing Engineering experience
Security clearances may only be granted to U.S. citizens
All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws
L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law
L3Harris is proud to be an Equal Opportunity Employer

~ 44 min OnsiteFlexible SchedulePaid Time Off

Manufacturing Engineer Sr. (Electronics Fabrication, Level 3)

Lockheed Martin

Grand Prairie, TX 75051

MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a Secret clearance. A company-sponsored interim Secret clearance is required to start.
Ability to work independently and as a group with little guidance.
Ability to work in a fast-paced and changing environment.
Ability to interpret drawings, Computer-Aided Design (CAD) models, product/performance specifications, and other systems integration technical data
Ability to liaison between LM Subcontractors, internal disciplines, and LM shop(s) Production Operations
Bachelor's degree in an any STEM field or associated discipline or equivalent combination of experience and education.
Demonstrated effective communication skills including verbal, listening, technical writing, and presentations
Demonstrated effective interpersonal skills, including team building, collaboration, and developing enduring business relationships
Experience manufacturing electronic assemblies to IPC and J-STD specifications
Proficient in MS Office tools (Word, Excel, PowerPoint, etc.)
Must be a US citizen and has the ability to acquire secret clearance
Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match.
Ability to Work Remotely: Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility.
Schedule for this Position: 4x10 hour day, 3 days off per week
Relocation Available: Yes
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration and needs interim clearance to start.
Clearance Level: Secret
Six sigma Greenbelt or Blackbelt certified
Current Active Secret Clearance
Experience in Geometric Dimensioning and Tolerancing (GD&T;)

~ 44 min OnsiteFlexible SchedulePaid Time Off

Manufacturing Engineer Sr (Level 3)

Lockheed Martin

Grand Prairie, TX 75051

3+ years of related experience
Bachelor's degree in Manufacturing Engineering Technology or similar field
Experienced with manufacturing tooling (fixtures, cutters, and other shop tools) and CNC machinery
Experience reducing defects and increasing productivity/throughput
Proven track record of data driven approach to solving problems
Security Clearance Statement: This position requires a government security clearance, you must be a US Citizen for consideration.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must be able to obtain a Secret clearance.
Clearance Level: Secret

New, Posted 1 day ago

~ 18 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Senior Director, Enterprise Architecture

Keurig Dr Pepper

Frisco, TX 75033

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

~ 35 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

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.

OnsiteUrgently HiringHealth InsuranceRetirement Benefit

Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

Education: BSEE/BSME/BSMechE and 5+ years' experience, or the equivalent of 10 years' experience in manufacturing engineering, with electronics background.
Skills / Technical Knowledge / Experience: Working knowledge of mechanical assemblies, tooling, fixtures, tolerances, and assembly drawings.
Skills / Technical Knowledge / Experience: Requires knowledge of fabrication processes, material specification, and general industrial operations.
Skills / Technical Knowledge / Experience: Must be a business minded engineer to provide continuous improvements to products and processes.
Skills / Technical Knowledge / Experience: Must be proficient with program management tools and have the ability to manage and prioritize multiple projects, tasks, and assignments at once.
Must be eligible to work in the United States without sponsorship.

~ 32 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

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.

New, Posted 1 day ago

Field Service Engineer II/III

Applied Materials

Richardson, TX 75081

~ 17 min Onsite

Completion of an Associate degree, military technical training, field service experience, or trade certification
2-7 years of work experience in customer/field service support, or a related technical field
Ability to read and interpret electrical and mechanical schematics
Experience diagnosing and resolving basic technical challenges
Basic mechanical aptitude with pneumatics, hydraulics, electronics, vacuum, or thermodynamics
Familiarity with hand tools and their appropriate usage, including digital multimeters
Effective written and verbal communication skills
Basic knowledge of Microsoft Excel, Word, and PowerPoint
Possession of a valid driver's license and the ability to obtain a passport, if travel is required
Able to meet all on-site requirements, including safety, environmental guidelines, and COVID-19 protocols
Must have experience working in the semiconductor industry
Must be located and/or willing to relocate to service the Dallas-Richardson and Sherman Texas areas (40%).

New, Posted 13 hours ago

DiversityJobs

Sr Engineer, Automation

Optimum Communications

Plano, TX 75086

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New, Posted 1 day ago

ResumeLibrary

Sr. Specialist, Application Development

Santander Holdings USA

Dallas, TX 75201

~ 26 min Onsite

Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
3+ Years Information Technology, Technical Application Development, or similar experience. - Required
3+ Years Experience writing technical documentation for both technical and nontechnical audiences. - Preferred
3+ Years Experience with C# and .NET (Core and/or Framework) — Required
Experience with Angular or similar front-end frameworks — Preferred
Experience with SQL Server and relational database design — Preferred
Experience building and consuming RESTful Web APIs — Preferred
Familiarity with CI/CD pipelines (Azure DevOps preferred) — Preferred
Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, AI code generation, AI-powered code review) to accelerate software delivery — Preferred
Familiarity with prompt engineering and integrating AI/ML capabilities into development workflows — Preferred
Applicants must be legally authorized to work in the United States on a full- time basis without requiring employer sponsorship to commence employment.
The base pay range is '$76,875.00 USD' to '$130,000.00 USD' annualized salary.
Frequent minimal physical effort such as sitting, standing and walking is required for this role.