787 Software Engineer Geosupport jobs in Dallas,TX

Principal Engineer, IT Systems Engineering

American Airlines

Fort Worth, TX 76101

~ 44 min Onsite

Bachelor's in Computer Science, Computer Engineering, Technology , Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
8 years experience as a software or platform engineer
5 years of experience with public and private cloud technologies, particularly Kubernetes
Hands-on experience in systems development in a variety of computing architectures and environments
Hands-on experience writing, testing, and maintaining Kubernetes operator code in Go
Strong technical expertise in Kubernetes architecture, including networking patterns, security patterns, service mesh, scheduling, and lifecycle automation.
Experience with Kubebuilder and/or Operator SDK
A test-first mindset and experience using Ginkgo/Gomega
Strong understanding of Kubernetes networking internals and cloud networking concepts.
Experience maintaining and operating large-scale, highly resilient platforms in the public cloud.
Proficient in infrastructure automation & orchestration
Proficient in Agile methodologies
Significant experience in requirements analysis and use case development, with a thorough understanding of software development life cycles, development and technology tools, testing methodologies, and requirements gathering
Ability to create/reengineer integration solutions (architectures) with other enterprise standard technologies
Ability to manage multiple efforts concurrently with the skills to keep complex initiatives moving forward quickly while exercising an appropriate level of procedural discipline
Proven ability to build strong and sustainable relationships with internal and external stakeholders
Ability to adapt to unexpected events, new facts, and rapidly changing circumstances
Ability to thrive in a sense-of-urgency environment and leverage best practices

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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.

SmartExplore AI is experimental.

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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.

Apply Directly

Manufacturing Engineering Manager

OIL STATES INDUSTRIES

Arlington, TX 76001

~ 36 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

BS degree (Mechanical or Industrial Engineering preferred) with at least 7 years of engineering and tooling design experience, or at least 11 years of extensive experience in engineering and tooling design without a degree.
CAD software experience (AutoCAD/Solidworks)
Advanced mathematical capabilities
Good written and verbal communication skills
Proficiency with Word, Excel
Knowledge of basic plant operations
By contractual requirements this position requires that all persons establish proof of US Citizenship. Dual Citizenship (US citizenship and citizenship of some other country) cannot be accepted. You will be required to provide original or certified copies of documents establishing your citizenship prior to consideration for this position.

SmartExplore AI is experimental.

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Senior Manufacturing Engineer

Klein Tools

Mansfield, TX 76063

~ 38 min OnsiteHealth InsuranceRetirement Benefit

Bachelor of Science Degree in Mechanical, Electrical, or Industrial Engineering (appropriate for the assigned area) and five (5) year experience
Must possess basic knowledge of tooling design methods and machine tool programming
Ability to use Microsoft Office and CAD software
Ability to communicate effectively both orally and written
Ability to communicate and work as a team member

SmartExplore AI is experimental.

New, Posted 2 hours ago

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Senior Software Engineer, AI Platform

McKesson Careers

Irving, TX 75061

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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Associate's degree in engineering (Mechanical, Electrical, Materials, Industrial, or related discipline) - required
7-8 years of experience in manufacturing engineering, process development, or continuous improvement - required
Hands-on experience with microelectronics or high-reliability manufacturing processes such as wire bonding, die attach, hermetic sealing, welding, or precision assembly - required
Strong cross-functional communication skills with the ability to coordinate engineering, quality, and manufacturing teams - required
Ability to manage multiple technical initiatives, track actions and risks, and drive timely closure - required

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Manufacturing Engineer Sr

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteFlexible Schedule

Bachelor's degree in Mechanical, Electrical, Manufacturing or other STEM engineering degree
Experience in a manufacturing environment, with a proven record of influencing production processes through process improvement initiatives
Strong project- and time-management skills to effectively coordinate multiple concurrent activities and deliver results on tight program schedules.
Demonstrated effective communication & interpersonal skills (verbal, written, presentation) and relationship‑building with customers, suppliers, and internal disciplines
Ability to obtain a security clearance.
MUST BE A U.S. CITIZEN - This position is located at a facility that requires special access. The selected candidate must possess an active Secret clearance to start.
This position requires a government security clearance, you must be a US Citizen for consideration.

SmartExplore AI is experimental.

New, Posted 8 hours ago

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Senior Associate, ServiceNow Software Asset Management (SAM)

KPMG

Dallas, TX 75217

OnsiteHealth InsuranceRetirement Benefit

Minimum of three years of experience with techniques such as assessing and planning IT capabilities, IT cost and performance management, IT solutions architecture, portfolio, program and project management, and transformational change
Bachelor's degree in Computer Science, Computer Engineering or related technical field from an accredited college/university
Deep understanding and hands-on experience with ServiceNow Software Asset Management (SAM), in addition to broader ServiceNow, IT management, enterprise strategy, IT supply chain, and information management disciplines
Experience in IT process improvement within your own organization or as an external consultant
Strong business, technical, analytical, problem-solving, and verbal and written communication skills

SmartExplore AI is experimental.

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Quality Assurance Analyst

Capco

Dallas, TX 75217

HybridEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

2+ years of experience in Quality Assurance, Software Testing, or a related discipline.
Strong understanding of Software Development Life Cycle (SDLC), Software Testing Life Cycle (STLC), and defect management processes.
Experience developing test cases, executing test plans, managing defects, and supporting user acceptance testing activities.
Bachelor's degree or equivalent professional experience.

SmartExplore AI is experimental.