1030 Platforms Engineer jobs in Dallas,TX

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Entry Level Sales

Spectrum - Dallas, TX

Entry Level Sales

$100,000/yr

OnsiteBilingual Preferred

New, Posted 5 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 8 hours ago

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Director, Software Engineering (Conference Tech Platform Integration)

Gartner

Irving, TX 75039

New, Posted 8 hours ago

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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

Irving, TX 75061

~ 22 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.

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New, Posted 16 hours ago

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Machine Learning Engineer

Capital One

Plano, TX 75023

New, Posted 8 hours ago

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Engineer, IAM

Optimum Communications

Plano, TX 75086

$83,538-$137,241/yr

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Stress Engineer

Saratech

Fort Worth, TX 76101

$85-$90/hr

New, Posted 22 hours ago

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Applied Early Career Program - Field Service Engineer

Applied Materials

Dallas, TX 75221

New, Posted 1 day ago

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Commissioning Engineer

Amazon Data Services

Dallas, TX 75201

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
U.S Citizenship Required
Ability and willingness to travel domestic and internationally for up to 80% of the year.
Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
Walk job sites in uneven terrain
Work at heights and from ladders
Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
Carry objects weighing up to 49 pounds for short distances
Perform physical tasks throughout the day without becoming overly tired
Ability to manipulate small wires and objects easily
Work in a noisy environment
Work in environments that are colder or hotter than a normal office environment

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Additive Manufacturing Engineering Lab Manager

Lockheed Martin

Fort Worth, TX 76108

~ 44 min OnsiteFlexible SchedulePaid Time Off

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
Engineering or other technical bachelor's degree (STEM)
≥8 years of technical experience in metal and polymer additive manufacturing/3D printing technology, preferably in aerospace or defense
Demonstrated success in developing technology roadmaps and securing funding for R&D; projects
Technical leadership capability within challenging technical, cost, and schedule constraints
Strong knowledge of AM processes and material certification for aerospace applications
Team leadership experience in a dynamic, fast-paced environment
Demonstrated collaboration with internal and external customers, DoD labs, and other government agencies on research and development, including CRAD
Demonstrated collaboration with cross-functional teams, including engineering, manufacturing, and supply chain management, to ensure successful integration and identify and mitigate potential risks and issues
Demonstrated skills in conflict resolution, proactive communication, and building collaborative relationships
Experience with development of air vehicle products
Experience preparing and delivering presentations to internal leadership and external customers
Experience with strategic technical planning and proposal development
Knowledge of Earned Value Management
Planning and management of personnel resources, staff development and capital resources. Including recruitment, selection, training, assignments, performance, merit planning, recognition and disciplinary actions
Experience supporting classified and sensitive programs
Schedule: 4x10 hour day, 3 days off per week
Onsite Full-time: The work associated with this position will be performed onsite at a designated Lockheed Martin facility