Java Developer

TalentOla; Plano (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

TalentOla seeks a Sr. Java Developer to join an onsite Plano team, delivering enterprise platform services. You will design, build, and operate secure, scalable systems supporting analytics, reporting, and AI/ML use cases.

You will work with domain and operations teams, drive automation, and improve code quality through reviews and secure coding standards in a collaborative, diverse environment.

Qualifications

• Hands-on system design, development, testing, and production stability.
• Proficient in Java with Spring and Spring Boot, microservices and REST API development.
• Experience with enterprise-scale applications in large corporate environments.
• Familiarity with CI/CD, security fundamentals, and application resiliency.
• Knowledge of cloud deployments (hybrid or cloud environments) and data pipelines.
• Experience applying AI-assisted development tools and secure coding practices.

Responsibilities

• Design, develop, and troubleshoot software solutions with Java, Spring, and microservices.
• Create secure production code for microservices and REST APIs and maintain integration components.
• Produce architecture artifacts and ensure design constraints are met.
• Analyze large datasets to improve performance, resiliency, and stability.
• Identify issues in code/logs/data and improve quality and scalability.
• Contribute to engineering communities and promote inclusive team culture.
• Leverage AI coding assist tools to improve quality and speed, with peer review.
• Adopt SDLC tools and automation to enhance value across build, test, release, and operate.

Skills

Java

Spring Framework

Spring Boot

Microservices

REST APIs

CI/CD

Cloud knowledge

Data modeling

Agile/Scrum

Tools

SQL Server

Oracle

Git

REST API design tooling

Job description

Job Title: Sr. Java Developer

Location: Plano, TX 5 Days onsite role

Long Term Project

Job Description:

As a Senior Software Engineer in Enterprise Platforms, you will be part of an agile team building and evolving platform services, integrations, and data-enabled solutions that support enterprise communication data and regulatory controls. You will design, develop, and operate secure, reliable, and scalable systems that power business controls, analytics, reporting, and AI/ML use cases. You will partner closely with domain teams, platform engineering, and operations to deliver production-grade services and curated datasets aligned to platform standards, resiliency expectations, and architecture principles. You will play a key role in raising engineering quality, accelerating delivery through automation, and driving continuous improvement across the platform.

Job Responsibilities:

• Executes software solutions including design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build durable solutions and break down complex technical problems using Java, Spring, and Spring Boot
• Creates secure and high-quality production code for microservices and REST APIs, and maintains synchronous and asynchronous processing components that integrate reliably with dependent systems
• Produces architecture and design artifacts for complex applications (e.g., service boundaries, data flows, interface contracts, resiliency patterns) and is accountable for ensuring design constraints are implemented and validated through software development
• Gathers, analyses, synthesizes, and develops visualizations and reporting from large, diverse datasets to drive continuous improvement in application performance, resiliency, and operational stability
• Proactively identifies hidden issues and patterns in code, logs, and data, using these insights to improve coding hygiene, reduce defects, and strengthen system architecture and scalability
• Contributes to software engineering communities of practice and technical forums that explore new and emerging technologies, patterns, and engineering standards
• Adds to a team culture of diversity, opportunity, inclusion, and respect through collaboration, mentorship, and constructive feedback
• Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation across build, test, release, and operations.

Required Qualifications, Capabilities, and Skills:

Hands-on practical experience in system design, application development, testing, and operational stability for production systems

Demonstrable ability to code in Java with Spring and Spring Boot, including microservices architecture and REST API development

Experience developing, debugging, and maintaining enterprise-scale applications in a large corporate environment using one or more modern programming languages and database querying languages (MS SQL Server, Oracle, SQL)

Overall knowledge of the Software Development Life Cycle, including requirements, design, development, testing, release, and support

Solid understanding of agile delivery practices, including CI/CD, application resiliency, and security fundamentals

Demonstrated knowledge of software applications and technical processes within a technical discipline such as cloud (e.g., deploying, and operating services in cloud or hybrid environments)

Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness

Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation

Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security

Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.

Experience enabling analytics, reporting, and AI/ML workloads through curated datasets, performance-optimized pipelines, and reliable service interfaces