946 Net Angular Aws Azure jobs in Dallas,TX

Application Development Associate - Azure

Fisher Investments Careers

Dallas, TX 75217

New, Posted 1 day ago

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Microsoft Dynamics Developer II / III

TAP Innovations

Dallas, TX 75217

New, Posted 19 hours ago

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IT - Software Developer [211478]

Aquent Talent

Southlake, TX 76092

Hybrid~ 36 minHealth InsurancePaid Time OffRetirement Benefit

6+ years of software development experience on large-scale enterprise platforms.
4-6+ years of experience in financial services, particularly with concepts like Margins, Options Expiration, Futures, Violations, and Pledged Asset Loans.
5+ years of experience in large/complex projects with multiple dependencies, utilizing Agile (Scrum/Kanban/Scaled Agile) processes for planning, implementation, and support of business application components, including change and release management.
Bachelor's degree in technology or a related discipline.
6+ years of solid development experience in distributed systems and cloud platforms.
Full Stack Development Experience with Microsoft .NET Framework, C#, and .NET in a Windows data center environment.
Experience with Angular, RXJS, TypeScript, PrimeNg, and .NET Core.
Experience with integrating SOAP and REST services.
Extensive experience working with leading cloud platforms and containerization technologies.
Knowledge of various database technologies including NoSQL (e.g., Aerospike) and relational databases (e.g., SQL Server, PostgreSQL).
Knowledge of application integration with Business Process Management (BPM) platforms.
Expertise with enterprise messaging systems (e.g., IBM MQ, Kafka).
Hands-on expertise with Agentic AI tools and frameworks, and working in an AI-Led Development Lifecycle.
Experience with Agile development methodology.
Experience owning and operating multiple instances of a mission-critical service.
Experience using telemetry and metrics to drive operational excellence.
Demonstrated ability to interact and communicate successfully with business partners, technology teams, production support, and infrastructure teams.
Strong problem-solving skills with an ability to identify stakeholders, assess their needs, and manage expectations through effective communication.
Adaptability to thrive in a dynamic, fast-paced environment with many moving parts and a large variety of responsibilities.
Self-starter with strong prioritization and multitasking capabilities.
Demonstrated ability to thrive in a flexible and fast-paced environment, including the ability to think big in a rapidly evolving technology space, and successfully handle ambiguity.
In-depth knowledge of the software engineering and architecture space: languages, frameworks, techniques, and industry trends.
Candidates must be able to work in the US without sponsorship or restrictions * No 3rd party vendors

SmartExplore AI is experimental.

New, Posted 3 hours ago

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Microsoft Cloud Platform and Infrastructure Engineer with Security Clearance

Elite Government Strategy

Fort Worth, TX 76101

New, Posted 1 day ago

ZipRecruiter

SQL/AWS Senior Database Engineer, Plano

Data Analysis

Plano, TX 75025

New, Posted 7 hours ago

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AWS Cloud Infrastructure & DevOps Engineer with Security Clearance

Gridiron IT Solutions

Dallas, TX 75201

New, Posted 1 day ago

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Principal Engineer - Python API Development

Fidelity Investments

Irving, TX 75061

~ 22 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.

Sr. AI & Cloud Architect

McKesson Careers

Irving, TX 75061

New, Posted 2 hours ago

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Engineer/Sr Engineer, IT Software

American Airlines

Fort Worth, TX 76101

Easy Apply

Domain Managing Architect - Cloud

Horace Mann

Plano, TX 75074

~ 27 min Onsite

15+ years of IT experience with 8+ years in architecture leadership roles
Proven experience leading cloud transformation and legacy modernization programs at enterprise scale
Brings broad cross-domain knowledge spanning enterprise and solution architecture, data platforms, integration, infrastructure, networking, and security to design scalable, secure, and resilient enterprise solutions.
Experience working within an Enterprise Architecture framework (e.g., TOGAF).
Fluency in modern architecture practices, including cloud-native, microservices, event-driven, and AI-enabled architectures.
Proven experience leading legacy modernization and enterprise cloud transformation initiatives across complex technology landscapes.
Ability to define and govern enterprise architecture standards, patterns, reference architectures, and technology roadmaps aligned with business strategy.
Expertise in creating architecture artifacts and diagrams (e.g., Visio, draw.io).
Collaborate with business leaders, IT leadership, and engineering organizations to translate strategic objectives into scalable technology solutions.
Experience in risk management and executive-level presentations.
Knowledge of FinOps and Cloud cost optimization strategies
Demonstrated ability to lead across organizational boundaries and drive consensus.

SmartExplore AI is experimental.