948 Associate Software Engineer Sdet jobs in Dallas,TX

10 years of functional experience in web or iOS or Android development, with a high level of agile, analytical, and coaching skills.
Experience leading mobile/web engineers and working with UX/UI designers, product owners, and analysts to deliver high-performing, quality customer experiences
Proven experience working hands-on on software engineering problems – Development of iOS/Android mobile applications and Web applications to meet Customer Journey needs
Experience with APIs, Data intensive applications, and scaling cloud-based solutions, etc. using variety of programming languages like Java/Scala/Python, Go.
Experience working with Design Systems and working closely with UX function
Experience delivering highly secure, scalable, and resilient applications.
Experience working with DevOps metrics and should demonstrate awareness of managing, improving, and advocating for these metrics to drive Engineering Excellence
Experience partnering with Product and Business teams to break down strategy into practical mission, goals, and priorities.
Track record of inspiring the creativity and innovation of teams, creating a culture of inclusion, experimentation, exploration, and continuous learning.
Ability to collaborate across business units, with peers and leadership to ensure objectives, KPI's and standards are aligned.
Ability to attract, hire and build a pool of diverse, engaged engineers with the skills needed today and in the future.
Ability to connect with and influence all levels of the organization and motivate change
Fostering fun at work

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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

Euless, TX 76039

~ 28 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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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

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Associate Designer thru Senior, Substation Building Information Modeling (BIM)

Oncore Electric

Fort Worth, TX 76102

Paid Relocation to Fort Worth, TX

Education AssistanceHealth InsurancePaid Time OffRetirement Benefit

High school diploma, GED, or equivalent required.
3+ years' of 2D CAD experience with 1+ years' experience using BIM design software OR 2+ years of BIM design software.
3+ years' experience using BIM design software and 3+ years' of 2D CAD experience.
5+ years' experience using BIM design software.
Technical ability to understand electric circuit theory and device selection and placement.
Technical ability to understand electrical designs and industry standards.
Technical ability to select and place equipment in design based on technical requirements.
Experience within a team being a key contributor and/or leading projects.
Ability to manage multiple tasks and deadlines is required.

SmartExplore AI is experimental.

New, Posted 12 hours ago

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