1295 Staff Software Engineer Infrastructure jobs in Dallas,TX

Recommended

Apply Directly

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.

New, Posted 1 day ago

Recommended

DiversityJobs

Software Engineer (Agentic AI/Data Engineering)

Gartner

Irving, TX 75039

Recommended

Apply Directly

Director, Software Engineering (Electronic Trading)

Fidelity Investments

Coppell, TX 75019

~ 31 min OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in Computer Science, Engineering, Information Technology, or equivalent.
15+ years of hands-on software design and development experience in the electronic trading domain.
5+ years of technical leadership, managing a team, and mentoring software developers
Experience in building **algorithmic trading** systems for **equities and options**
Experience with**equities and options market data**
Expertise in **C/C++** , **Python** , and **Linux**.
Deep experience with **low latency messaging systems** (e.g., 29West/Ultra-Messaging, Kafka).
Proficiency in **KDB+** or other time-series databases.
Strong background in building **scalable** , **distributed** , **asynchronous** , and **event-driven** applications.
Advanced knowledge of **low latency design patterns** and **performance optimization** techniques.
Experience in **Capital Markets** or **Brokerage systems** , especially **order management**.
Solid understanding of the **FIX protocol** and FIX engines.
Experienced with using **GenAI developer assist tools** (e.g. GitHub Copilot).
Experience with **CI/CD tools** such as GitHub, Maven, Jenkins, Artifactory, and uDeploy.
Experience with deploying applications and services in **AWS**

SmartExplore AI is experimental.

New, Posted 1 day ago

Recommended

DiversityJobs

Lead Software Engineer (Python, Invoice/BIlling)

Gartner

Irving, TX 75039

New, Posted 1 day ago

Apply Directly

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

SmartExplore AI is experimental.

Apply Directly

Principal Engineer - Python API Development

Fidelity Investments

Colleyville, TX 76034

~ 38 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 OnsiteUrgently HiringHealth 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.

New, Posted 17 hours ago

Recommended

Senior Software Engineer, AI Platform

McKesson Careers

Irving, TX 75061

New, Posted 1 day ago

Recommended

DiversityJobs

Manager Software Engineering

Optimum Communications

Plano, TX 75086

$133,661-$219,586/yr

Recommended

Apply Directly

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.