1432 Staff Platform Engineer Infra Devops jobs in Dallas,TX

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Manufacturing Engineering Sr Staff - Level 5

Lockheed Martin

Fort Worth, TX 76108

~ 44 min OnsiteUrgently HiringFlexible SchedulePaid Time Off

MUST BE A U.S. CITIZEN
Active Secret clearance to start
Bachelor's degree from an accredited college in Manufacturing Engineering, Industrial Engineering, Mechanical Engineering or a related discipline, equivalent experience/combined education considered
Ability to obtain and maintain an Active Secret Clearance in accordance with business requirements
Experience working in a manufacturing environment working cross functionally with other disciplines including quality assurance, production operations, design engineering, industrial engineer, project engineer, manufacturing engineering, and/or process engineering
Demonstrated experience presenting to Senior/Executive Leadership
Prior experience in a Technical Lead, Team Leader or Leadership capacity with demonstrated team project management

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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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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

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Java Developer with DevOps & Grafana Experience

Qode

Dallas, TX 75201

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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 19 min OnsiteHealth InsuranceRetirement Benefit

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.

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DevOps and Tools Engineer

Fisher Investments Careers

Dallas, TX 75217

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Principal Engineer - Python API Development

Fidelity Investments

Hurst, TX 76054

~ 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.