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Software Engineer Distributed Systems Ny

Dallas,TX

1447 Software Engineer Distributed Systems Ny jobs in Dallas,TX

New, Posted 14 hours ago
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Technical Writer - Level 3

Lockheed Martin

Fort Worth, TX 76137

~ 44 min OnsiteUrgently HiringFlexible 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
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New, Posted 1 day ago
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Controls Business Development Manager (Building Automation Systems)-Dallas, TX

Top Tempo Technical

Dallas, TX 75217

OnsiteUrgently Hiring

  • 5+ years of successful business development, sales, or account management experience within the Building Automation Systems (BAS), Controls, HVAC Controls, Energy Services, or Smart Building industry.
  • Demonstrated success generating new business and closing large commercial projects.
  • Strong understanding of Building Automation Systems, controls platforms, HVAC systems, energy management, and facility operations.
  • Proven ability to develop relationships with owners, engineers, consultants, and key stakeholders.
  • Experience reviewing plans, specifications, and conceptual project requirements.
  • Strong financial and business acumen with an understanding of project pricing, budgeting, and contract structures.
  • Excellent presentation, negotiation, and communication skills.
  • Self-starter with exceptional organizational and time-management abilities.
  • Ability to manage multiple opportunities simultaneously while maintaining a customer-focused approach.
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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

Paid Relocation to Dallas, TX

Requires TravelUrgently Hiring

  • Associate degree, recent college graduate, military technical training, trade certification, or equivalent hands-on experience
  • Basic mechanical aptitude and interest in technical systems
  • Willingness to learn and read electrical and mechanical schematics
  • Ability to diagnose and solve basic technical problems
  • Strong written and verbal communication skills
  • Basic working knowledge of Microsoft Excel, Word, and PowerPoint
  • Valid driver's license and ability to obtain a passport, if required for travel
  • Ability to meet on-site safety, environmental, and customer requirements
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New, Posted 7 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 min OnsiteUrgently HiringEducation 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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New, Posted 14 hours ago
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Skunkworks Staff Manufacturing Engineer (Level 4)

Lockheed Martin

Fort Worth, TX 76108

Paid Relocation to Fort Worth, TX

~ 44 min OnsiteUrgently HiringFlexible ScheduleEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

  • Bachelors degree required to apply
  • Experience in a manufacturing environment working cross functionally with other disciplines including industrial engineering, planning, scheduling, Quality Assurance &/or production operations.
  • Experience supporting vehicle systems installations & integration into a final product and/or rigging experience for moveable surfaces. Experience should include some combination of the following systems: electrical harness installation, fuel systems, hydraulic systems, related systems, landing gear, and door rigging.
  • Active secret security clearance, with investigation in the last 5 years.
  • Ability to obtain special program access within 3 months of start date with LM.
  • Ability to travel 25 - 75% of the time, or based on business needs.
  • This position requires a government security clearance, you must be a US Citizen for consideration.
  • Clearance Level: Secret with Investigation or CV date within 5 years
SmartExplore AI is experimental.
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New, Posted 14 hours ago
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Manufacturing Engineer

Megger

Dallas, TX 75217

Onsite

  • Bachelor's degree in engineering
  • Analytical and mathematical proficiency
  • 5-8 Years experience directly working in an electro-mechanical manufacturing industry
  • English fluency
  • Effective communication skills to interface with assembly personnel
  • Familiarity with Surface Mount and through hole assembly technologies
  • Experience with IPC 610 & ISO 9000 standards
  • Working knowledge of ERP systems, SAP preferred
  • Lean or Six Sigma Green Belt certification
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Engineer/Sr Engineer, IT SOA Middleware

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent 3 years experience/training
  • Experience working in Apigee Edge, Microgateway and Developer Portal
  • Well-rounded technical background in:
  • O Apigee Edge and Microgateway
  • O Combination of Development, Administration and Support experience in several of the following tools/platforms required:
  • O Cloud-based development: Kubernetes and micro-services
  • O Web Services: REST (JSON/WSDL/XML)
  • O Frameworks: Python, FastAPI, Typescript, Node.js
  • O Front-end: Angular, React
  • O Build/deployment tools: Git, Jest, Yarn
  • O Scripting: Python, Unix, SQL
  • O CI/CD: GitHub, Azure DevOps
  • O Infrastructure as code (Docker, Kubernetes, Terraform, Ansible, Puppet)
  • O API development
  • O GitHub, and developing GitHub Actions
  • Well versed in SOA and RESTful services and consuming the services.
  • O Good understanding of Apigee Architecture
  • O Good experience in developing customized policies in Apigee
  • Implementing Enterprise security using BasicAuth, oAuth, SSL and certificates
SmartExplore AI is experimental.
View now
New, Posted 7 hours ago
Recommended
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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 28 min OnsiteUrgently HiringEducation 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.
View now
New, Posted 14 hours ago
Apply Directly
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.
View now
Apply Directly
Engineer/Sr Engineer, IT SOA Middleware

American Airlines

Fort Worth, TX 76101

~ 44 min OnsiteHealth InsuranceRetirement Benefit

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent 3 years experience/training
  • Experience working in Apigee Edge, Microgateway and Developer Portal
  • Well-rounded technical background in:
  • O Apigee Edge and Microgateway
  • O Combination of Development, Administration and Support experience in several of the following tools/platforms required:
  • O Cloud-based development: Kubernetes and micro-services
  • O Web Services: REST (JSON/WSDL/XML)
  • O Frameworks: Python, FastAPI, Typescript, Node.js
  • O Front-end: Angular, React
  • O Build/deployment tools: Git, Jest, Yarn
  • O Scripting: Python, Unix, SQL
  • O CI/CD: GitHub, Azure DevOps
  • O Infrastructure as code (Docker, Kubernetes, Terraform, Ansible, Puppet)
  • O API development
  • O GitHub, and developing GitHub Actions
  • Well versed in SOA and RESTful services and consuming the services.
  • O Good understanding of Apigee Architecture
  • O Good experience in developing customized policies in Apigee
  • Implementing Enterprise security using BasicAuth, oAuth, SSL and certificates
SmartExplore AI is experimental.
View now

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