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Web3 Devops And Infrastructure Engineer

Dallas,TX

1140 Web3 Devops And Infrastructure Engineer jobs in Dallas,TX

New, Posted 19 hours 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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New, Posted 2 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 2 hours ago
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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 36 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 2 hours ago
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Engineer/Sr Engineer, IT Data

American Airlines

Fort Worth, TX 76101

New, Posted 10 hours ago
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Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

~ 28 min OnsiteUrgently HiringFlexible SchedulePaid Time Off

  • 1+ years of related experience
  • Bachelor's degree in Manufacturing Engineering Technology or similar field
  • Experienced with tooling (fixtures, cutters, and other manufacturing equipment) and CNC machining processes
  • Experience reducing defects and increasing productivity/throughput
  • Proven track record of data driven approach to solving problems
  • MUST BE A U.S. CITIZEN
  • Secret clearance
  • The work associated with this position will be performed onsite at a designated Lockheed Martin facility
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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
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New, Posted 18 hours ago
ResumeLibrary
Sr. DevOps Engineer

Santander Holdings USA

Dallas, TX 75201

Onsite

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • 9+ Years Experience with data center networking, and/or cloud networking, as well as concepts and fundamentals of things like shared storage, clustering, and failover - Required.
  • Minimum five (5) years of scripting or related experience, e.g. PowerShell
  • Minimum five (5) years of programming or related experience.
  • Minimum five (5) years of database development or related experience.
  • Basic knowledge of infrastructure virtualization, cloud technologies, and networking
  • Demonstrate knowledge of source code management
  • Show knowledge of automated build, deploy, and testing of code
  • Display knowledge of infrastructure orchestration and configuration management
  • Highly collaborative across all IT departments
  • Ability to maintain confidentiality
  • Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment.
SmartExplore AI is experimental.
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New, Posted 4 hours ago
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Network Deployment Technician, GND-NASA-Deploy

Amazon Data Services

Wilmer, TX 75172

Requires TravelUrgently HiringHealth InsurancePaid Time OffRetirement Benefit

  • 2+ years of computer networking experience
  • 2+ years of Linux operating systems experience
  • Experience in computer networking
  • Experience with computer hardware troubleshooting and repair
  • Bachelor's degree in Information Technology, Computer Science, or a related field; or equivalent work experience in a relevant technical discipline.
  • Physical Requirements (all physical requirements may be done with reasonable accommodations). This position has a physical component requiring the ability to lift & rack equipment up to 40lbs; it may require working in cramped spaces or in elevated locations while adhering to health & safety guidelines.
  • This role may involve up to 50% travel; the vast majority is local travel but may have the potential to include domestic and international travel to support the organization.
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New, Posted 10 hours ago
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Tool Planner / Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

Hybrid~ 28 minUrgently HiringFlexible Schedule

  • Bachelor's degree or equivalent experience
  • Ability to communicate effectively
  • High attention to detail
  • Knowledge of tool design
  • Microsoft Office experience
  • General knowledge of mechanical manufacturing processes
  • Experience with PLM, MRP, & ERP systems is preferred
  • 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. Should this match be identified you may be contacted for this and future openings.
  • Schedule for this Position: 4x10 hour day, 3 days off per week
  • Relocation Available: Possible
  • Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.
SmartExplore AI is experimental.
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New, Posted 10 hours ago
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Lean Manufacturing Engineer

Teledyne

Garland, TX 75040

~ 26 min OnsiteUrgently HiringEducation 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
SmartExplore AI is experimental.
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