Why This Role Stands Out
Advance your career as a Full Stack Java Developer with a leading global bank, offering significant growth potential and the chance to collaborate with industry experts in a hybrid work environment. This role is ideal for experienced developers who thrive on building scalable enterprise applications and are eager to contribute to innovative financial technology solutions. Apply now to join a reputable organization and expand your skillset.
Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Irving, TX, United States
Posted
4 days ago
MicroservicesOracleSQLSpringSpring BootAWSScrumAgileAngularDeep LearningGenerative AIJavaKafkaPostgreSQLPyTorchPythonRESTReactTensorFlow
Job Description
Grow your career as a Full Stack Java Developer with an innovative global bank in Irving, TX to participate in a high visibility project. Contract role with strong possibility of extension and/or conversion. Will require working a hybrid schedule 3 days onsite (Mon, Tue, Wed) per week. *Not open to third party employment or sponsorship*
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
What You Will Be Doing
Join one of the world's most renowned global banks and trusted brand with over 200 years of continuously evolving financial services worldwide. You will work alongside some of the smartest minds in the industry who are excited to share their knowledge and to learn from you.
Contract Duration: 6+ Months
Required Skills & Experience
- 7+ years of Full Stack software engineering experience in developing enterprise scale applications.
- Expertise in building web applications using Java, Spring boot, Microservices, Angular/React, and Oracle/PostgreSQL technology stack.
- Microservice architecture, SQL, REST, Agile experience.
- Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.
- Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Must be able to use Copilot.
- Should understand integration with agentic AI systems (not just UI integration).
Experience with Google ADK or similar Google AI/ML platforms and SDKs. - Expertise in enterprise integrations through RESTful APIs, Kafka messaging etc.
- Expertise in Elastic Search, NoSQL databases, and Caching solutions.
- Expertise in designing and optimizing the software solutions for performance and stability.
- Expertise in troubleshooting and problem solving.
- Expertise in site reliability engineering.
- Expertise in Test driven development.
- Expertise in Authentication, Authorization, and Security.
- Familiarity with AWS cloud, prepare to migrate applications, services, and data to AWS.
- Able to effectively estimate your work.
What You Will Be Doing
- Lead by example in bringing agility into software development by following agile best practices.
- Design, develop, and implement Generative AI models (e.g., LLMs, GANs, VAEs, Diffusion Models) using Python and relevant deep learning frameworks (e.g., TensorFlow, PyTorch).
- Integrate Generative AI capabilities into existing systems and develop new AI-powered applications.
- Be a liaison between development manager and the scrum team.
- Coach/mentor team, eliminate the impediments.
- Manage the stakeholders, partner to develop roadmap, releases / milestones, and be accountable to the delivery.
- Develop frameworks, designs, data models, architecture diagrams etc., document, communicate within and outside the team.
- Ensure best engineering standards are followed by team including DevOps and SRE.
- Be the second level reviewer for the application design and implementation.
- Provide inputs, review the test plans and test cases for adequate coverage to ensure the product quality.
- Be accountable for the releases to go smoothly.
- Be single point of contact for production incidents at L3 level, troubleshoot, perform root cause analysis, resolve issues permanently.
- Ensure sprint deliverables are met.
- Adjust the capacity and still be hands-on in addressing the stories as developer.
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