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Aws Java Developer

Dallas,TX

892 Aws Java Developer jobs in Dallas,TX

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Best Trucking Companies - Dallas, TX

Class A CDL Drivers Needed – OTR, Regional & Dedicated
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New, Posted 13 hours ago
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Sr. Associate, Application Development

Santander Holdings USA

Dallas, TX 75201

Hybrid

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • 9+ Years Information Technology, Technical Application Development, or similar experience. - Required.
  • Expert-level experience developing production applications using modern Python (Python 3.13+ preferred).
  • Strong experience with modern Python development tooling including:
  • Astral uv, Pydantic, pytest for automated testing, mypy, ty, and ruff
  • Strong experience designing and developing solutions utilizing Microsoft SQL Server 2019+.
  • Experience developing and optimizing data solutions within Snowflake.
  • Strong communication and presentation skills, as well as strong/proven management skills.
  • Ability to continually assess and evaluate the impact of emerging technologies against the strategic business needs and interpret business value for the leadership team in a consultative capacity.
  • Provides strong leadership to the various team members through mentoring, career development, interpersonal skills, teamwork ethic, and enabling leadership skills.
  • Proven understanding of Computer Science fundamentals including web development, service-oriented architecture, cloud computing, test driven development and domain driven design.
  • Strong services oriented architecture experience.
  • Ability to lead multiple sub-teams through example and persuasion.
  • Ability to manage multiple projects at the same time.
  • Ability to develop and maintain applicable industry knowledge and best practices.
  • Ability to stay up to date on industry trends.
  • Ability to foresee/ predict industry direction.
  • Experience in developing and managing multi-tier architecture applications.
  • Strong analytical and critical thinking skills.
  • Curiosity and aptitude for working within new technologies and partnering with others to create custom solutions to fit unique business needs, Innovation and future strategy.
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Business Dev Mgr - Data Centers

Johnson Controls

Dallas, TX 75215

OnsiteHealth InsurancePaid Time OffRetirement Benefit

  • Based in the Dallas, TX area
  • Bachelor's degree in Business, Marketing, Engineering, or a related field; equivalent work experience will be considered.
  • Minimum of 5 years of experience in business development, strategic account management, enterprise sales, or major project sales.
  • Proven experience selling into or working with the data center, mission-critical, construction, engineering, or industrial infrastructure markets.
  • Demonstrated success developing new business, building strategic relationships, and managing complex sales opportunities.
  • Strong understanding of account planning, solution selling, and project-based business development.
  • Experience engaging multiple stakeholders across owner, consultant, contractor, and technical audiences.
  • Excellent communication, negotiation, presentation, and relationship management skills.
  • Ability to travel up to 75% across the Americas.
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New, Posted 1 day ago
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Principal Engineer - Python API Development

Fidelity Investments

Lewisville, TX 75029

~ 33 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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New, Posted 17 hours ago
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Business Development Representative II, Spectrum Business

Spectrum

Coppell, TX 75019

~ 31 min OnsiteUrgently Hiring

  • Bachelor's degree in business administration, marketing or a related field or an equivalent combination of education, training and experience
  • 1+ years of business development, sales development, prospecting for new business and accounts or IT/software-as-a-service business development
  • Business and account planning implementation experience
  • Ability to read, write, speak and understand English
  • Aptitude to learn Spectrum Business product suite and sales methodology
  • This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
SmartExplore AI is experimental.
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New, Posted 1 day ago
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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.
SmartExplore AI is experimental.
View now
New, Posted 16 hours ago
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Associate, Model Development (Hybrid Position)

Santander Holdings USA

Dallas, TX 75201

Hybrid

  • Bachelor's Degree: in related field or equivalent demonstrated through a combination of work experience, training, military service, or education - Required
  • 5+ Years Analytics in Financial Services Industry. - Required.
  • 5+ Years Indirect subprime Auto Financial Services Industry experience. - Preferred.
  • 5+ Years Prior experience developing credit scoring models preferred. - Preferred.
  • Demonstrated experience with logistic regression models, segmentation and variable reduction techniques, hypothesis testing, neural networks, design of experiments, ANOVA, decision trees, and linear regression.
  • Prior experience working with credit bureau data.
  • Prior experience using SAS, particularly SAS base, SAS/STAT, PROC SQL, and SAS Macro programming. Additional knowledge of R preferred.
  • Demonstrated ability to use SQL and SAS to extract data from multiple data sources.
  • Demonstrated ability to merge, concatenate, clean, and prepare extremely large datasets for statistical analysis and mathematical model development.
  • Demonstrated ability to create complex pivot tables in MS Excel.
  • Ability to effectively explain advanced mathematical concepts, techniques, and analyses to a business audience.
  • Ability to translate analysis into a clear business plan.
  • Strong written and verbal communication skills.
  • Ability to delegate and co-ordinate multiple tasks related to the development and monitoring of statistical models.
  • Ability to maintain confidentiality..
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Sr Principal Solution Architect, IT Cybersecurity Operations

American Airlines

Fort Worth, TX 76101

  • Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering, or a related technical discipline, or equivalent experience/training
  • 12+ years experience in Cybersecurity Architecture
  • Extensive job experience in cybersecurity architecture or a related field is required, with a proven track record of designing and implementing secure IT architecture and frameworks
  • Demonstrated expertise in leading architectural design and strategic oversight in cybersecurity initiatives
  • Relevant certifications including but not limited to Certified Information Systems Security Professional (CISSP); Certified Information Security Manager (CISM); Certified Incident Handler (GCIH); Certified Information Systems Auditor (CISA); Certified Ethical Hacker (CEH); CompTIA Security+; Certified SOC Analyst (CSA)
SmartExplore AI is experimental.
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IT Architect II-IM Application Development

CHRISTUS Health

Irving, TX 75039

New, Posted 1 hour ago
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Vice President Development, Design & Construction

Lifespace Communities

Desoto, TX 75115

$235,200-$341,200/yr
~ 31 min Onsite

  • Bachelor's degree in Architecture, Engineering, Construction Management, Real Estate Development, or a related field
  • 15+ years of progressive leadership experience managing large-scale capital development, design, construction, or facilities programs
  • Executive experience overseeing multimillion-dollar redevelopment or new construction portfolios
  • Expertise in project management, contract negotiation, budgeting, construction administration, and owner representation
  • Strong knowledge of building systems, codes, regulatory requirements, and capital planning
  • Demonstrated ability to lead diverse teams of architects, engineers, developers, consultants, and contractors
  • Exceptional executive presence with the ability to influence senior leadership and boards
SmartExplore AI is experimental.
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New, Posted 1 day ago
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Commissioning Engineer

Amazon Data Services

Dallas, TX 75201

Requires TravelHealth InsurancePaid Time OffRetirement Benefit

  • 5+ years of engineering, installation, or startup/commissioning of electrical and mechanical systems experience
  • Bachelor's degree in Mechanical/Electrical Engineering or 5 years of relevant discipline work experience
  • High technical competency in either mechanical or electrical or control systems utilized in critical infrastructures, with the capability to learn and be trained in the others.
  • Understand the design concept and intent by reviewing mechanical or electrical design documentation, including drawings, specifications, vendor submittals and sequences of operations and provide feedback on the same in accordance with Amazon standards for basis of design.
  • Develop but majorly review commissioning documentation such as test plans, scripts and reports developed by vendors to ensure accuracy in accordance with the design requirements.
  • U.S Citizenship Required
  • Ability and willingness to travel domestic and internationally for up to 80% of the year.
  • Required to provide personal transportation for meetings and job visits away from the office; reimbursed.
  • Walk job sites in uneven terrain
  • Work at heights and from ladders
  • Regularly walk, use hands and fingers, reach with hands and arms, stoop, kneel, crouch or crawl
  • Lift and/or move up to 49 pounds; and participate in group lifts for 50 pounds or more
  • Carry objects weighing up to 49 pounds for short distances
  • Perform physical tasks throughout the day without becoming overly tired
  • Ability to manipulate small wires and objects easily
  • Work in a noisy environment
  • Work in environments that are colder or hotter than a normal office environment
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