1138 Process Engineer Information Technology jobs in Arlington,TX

10 years of hands-on experience as a full-stack engineer and/or solution architect.
Deep understanding of life insurance digital ecosystems, including underwriting, compliance, and member facing experiences design across web and mobile channels.
Experience leading the Lifecycle of multiple concurrent solutions through strong communication skills, interpersonal skills, engaging with multiple functions, business analysis, architecture definition, POC creation, presentation skills, influential ability, and an ability to make progress despite ambiguity.
Proven experience in engineering large-scale web applications end-to-end, with a focus on customer experience, operational excellence, security, reliability, performance efficiency, and improving cost efficiency.
Proficient in Cloud Architecture, Services, and Patterns. Hands-on experience with Core AWS services is a must-have, e.g. Amazon VPC, DNS, ELB, CloudFront, API Gateway, IAM, EKS, Lambda, Step Functions, SQS, S3, RDS Oracle/PostgreSQL, DynamoDB, Secrets Manager, CloudFormation/Terraform, Event-Driven Architecture, Resiliency, etc.
Proven expertise in Java, JavaScript/TypeScript, Angular, Spring, NodeJS/NestJS and microservices architecture with REST, Spring frameworks (or similar) are a must.
Experience with event-driven and serverless architectures, API design, and integration patterns.

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Manufacturing Engineer (Level 2)

Lockheed Martin

Grand Prairie, TX 75051

~ 15 min OnsiteFlexible 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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Manufacturing Engineer

Lockheed Martin

Arlington, TX 76018

RemoteFlexible SchedulePaid Time Off

Bachelor's degree in an Engineering discipline
Professional experience structuring and creating MBOMs in SAP
Applied experience leveraging manufacturing and assembly process knowledge to translate engineering BOMs into accurate production workflows
Proficient in MS Office tools (Word, Excel, PowerPoint etc.)
Hands-on experience in tooling and fixturing
Ability to obtain and maintain a Secret security clearance, which requires U.S. citizenship
MUST BE A U.S. CITIZEN - The selected candidate must be able to obtain a secret clearance.
The position requires a government security clearance
Secret
Experience Level: Experienced Professional
Relocation Available: Possible
Shift: First
Schedule for this Position: 4x10 hour day, 3 days off per week
This position is located in Arlington, TX

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Principal Engineer - Python API Development

Fidelity Investments

Euless, TX 76039

~ 26 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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Manufacturing Engineer

DEAN TECHNOLOGY

Addison, TX 75001

~ 41 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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New, Posted 5 hours ago

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