1347 Staff Software Engineer Ai Platform jobs in Dallas,TX

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