738 Power Platform Developer Bank jobs in Plano,TX

Specialist Director, Salesforce Platform Support Lead

KPMG

Dallas, TX 75217

~ 26 min OnsiteHealth InsuranceRetirement Benefit

Minimum eight years of recent experience in Salesforce platform delivery, including AMS/production support leadership with SLA accountability
Bachelor's degree from an accredited college or university is required
Deep expertise in Salesforce (Sales Cloud required) with strong knowledge of Apex, Flows, Lightning architecture, and integration patterns (MuleSoft preferred)
Proven experience in ITIL-aligned service management, backlog governance, and KPI reporting within structured L1/L2/L3 models
Demonstrated leadership in multi-team Agile delivery with strong stakeholder management, executive communication, and the ability to operate in complex, high-pressure environments
Ability to travel as needed based on business and client demands
Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future

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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 32 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.

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Director, Banking and Payments IT M&A Due Diligence, Integration and Separation Strategy

KPMG

Dallas, TX 75201

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Salesforce Solution Architect

Auto Club Of Southern Calif

Coppell, TX 75019

~ 29 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

7+ years of hands-on experience delivering Salesforce solutions, with at least 3+ years in an architect or lead role
Deep expertise with Salesforce Financial Services Cloud, including case management, routing, knowledge, and sales processes
Experience designing and implementing integrations between Salesforce and enterprise systems (APIs, middleware, event-driven patterns)
Practical experience with at least one major contact center platform integrated with Salesforce; Genesys experience strongly preferred
Proven experience with complex data modeling, sharing/security model design, and performance optimization on Salesforce
Strong skills in gathering requirements, defining user stories, and communicating solution options and trade-offs with stakeholders
Excellent communication and documentation skills, with the ability to explain complex concepts to non-technical audiences

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Principal Engineer - Python API Development

Fidelity Investments

Southlake, TX 76092

~ 43 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.

Easy Apply

Call Center Representative - Life Insurance

Sellors Agencies

Arlington, TX 76010

Paid Relocation to Arlington, TX

RemoteUrgently HiringFlexible Schedule

This is a commission only role with average earnings of $65,000+ in the first year and uncapped room for rapid growth based on performance
State and federal laws require licensing to sell certain insurance products.
Ability to obtain a license is required

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Customer Service Rep - Insurance

Everett and Associates

Dallas, TX 75217

~ 26 min OnsiteUrgently HiringFlexible Schedule

State and federal laws require licensing to sell certain insurance products.
Ability to obtain a license is required.

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Inside Sales Account Manager - Up to $2500 sign-on bonus

Verizon Wireless

Irving, TX 75061

$2,500 bonus

Hybrid~ 35 minUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree or four years of work or military experience.
One or more years of relevant work experience.

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Welder / Fabricator

US2102 Encore Wire

Mckinney, TX 75070

$25/hr

~ 20 min OnsiteHealth InsurancePaid Time OffRetirement Benefit

Starting Pay: $25/hr
High School diploma or G.E.D certificate
Ability to read and write the English language
Experience in stick welding, oxygen/acetylene torch use along with mig/tig experience
Exposed to high voltage electricity and excessive heat
Ability to push, pull, or lift heavy objects and/or machine parts with or without assistance
Duties are performed in a loud production setting subject to extreme temperatures. Some duties may be required to be performed outside. Comfortable with repetitive movement, kneeling, crouching and stooping. Requires using hands to handle, control, or feel objects, tools or controls. Requires lifting up to 50 pounds while bending, twisting and/or standing.
Essential Job Functions:
Positioning, aligning, fitting, and welding parts for the formation of sub units or complete units using jigs, hand tools, and welding torches.
Identifying information by recognizing similarities or differences, categorizing, estimating, and detecting modifications in events or circumstances. Fluent in reading measuring devices and calculating basic arithmetic.
Locating and marking work piece cutting and bending lines, allowing for welding and machine shrinkage, stock thickness and any other component specifications.
Providing detailed instructions, specifications, drawings or documentation to explain others about how the components are to be constructed, modified, maintained, assembled, or fabricated.
Studying blueprints and engineering drawings to determine project task sequences and requirements.
Performs all work in accordance with company safety procedures and in line with OSHA requirements
Performs other related duties as required and assigned