Top Java Developer Jobs in Houston, TX

Design and develop scalable Java and Python backend services, REST APIs, and data pipelines using PySpark and Databricks. Deploy reliable cloud infrastructure on AWS, integrate AI tools and models, collaborate with data and product teams, participate in architecture and code reviews, and troubleshoot production systems. Contribute to documentation, engineering standards, and continuous delivery practices supporting a firmwide client data platform.

Lead design and development of scalable, low-latency Java microservices and distributed systems on cloud platforms. Drive AI-assisted engineering governance, ensure code quality, resiliency, operational stability, and mentor teams while implementing CI/CD, testing, and observability best practices.

Lead full‑stack development of scalable, secure services and UI using Java, Python, and React. Build AI/agentic capabilities with Smart SDK, design data/search solutions (PostgreSQL, OpenSearch), drive cloud-native engineering on AWS with Terraform, improve SDLC via AI-assisted tooling, mentor engineers, and deliver operational reliability.

Lead an agile team to design, build, and deliver secure, scalable full-stack applications. Drive adoption of enterprise AI-assisted engineering, evaluate vendors, mentor engineers on responsible AI, and promote best practices across software development and cloud infrastructure.

Lead engineering and deliver secure, scalable data and LLM-based systems for a Global KYC and Risk Assessment Data Platform. Define architecture, engineering standards, AI/LLM governance, and drive adoption of AI-assisted development practices while mentoring teams and ensuring operational stability and observability.

Lead and deliver Java-based microservices and APIs for global equities derivatives trading. Design cloud-native, scalable solutions, integrate AI-assisted development and agentic pipelines, support Java/C#/JavaScript front-ends, participate in code reviews, and mentor teams on secure, high-quality engineering and deployment practices.

Lead design, develop, and deliver secure, high-quality software for wholesale credit risk. Author and review production code, drive AI-assisted engineering practices, automate remediation, improve resiliency, and evaluate vendor/architecture suitability.

Design, develop, and maintain secure, production-grade data-intensive applications and platforms. Build reusable frameworks, leverage enterprise AI-assisted development tools responsibly, collaborate across teams, and ensure scalability, observability, and operational stability for a global KYC and risk data platform.

Lead and deliver secure, scalable data and AI/ML systems (including LLM-based and agentic architectures) for enterprise KYC and risk platforms. Define architecture and engineering standards, mentor engineers, drive AI-assisted development adoption, ensure observability, governance, and operational stability across cloud-native data platforms.

Lead and mentor data engineering teams to design, build, and operate a secure, scalable KYC and risk-assessment data platform. Develop production code for data-intensive systems, set architecture and engineering standards, govern LLM-based applications and agentic AI, drive adoption of AI-assisted development practices, ensure observability, security, and cloud-native operations, and advise cross-functional stakeholders.

Lead technical contributions on architecture and data solutions: design and build secure, high-quality Java/Spring production code, guide teams and vendors, adopt enterprise AI-assisted engineering practices, improve SDLC automation, support system design, testing, model hosting (XGBoost), and low-latency/high-throughput production support.

Design, develop, test, deploy, and maintain scalable Java enterprise applications, Spring Boot microservices, REST APIs, and distributed systems. Build Kafka-based event-driven solutions, secure APIs, integrate databases, create CI/CD pipelines, containerize and deploy applications with Docker and Kubernetes, and monitor production systems. Collaborate with architecture, DevOps, QA, product, and engineering teams while contributing to system design, performance optimization, and AI-enabled application initiatives.

Design, develop, and maintain scalable Java/Micronaut enterprise frameworks and cloud-native microservices on Azure. Build and deploy services to AKS, create CI/CD pipelines with Azure DevOps, implement batch/asynchronous workflows, integrate messaging systems, optimize databases, and ensure security, observability, and resilience.

As a Senior Software Engineer, you will build cloud solutions, define migration strategies, mentor junior engineers, and ensure architectural integrity while collaborating with peers.

As a Senior Developer, you will modernize COBOL systems to Java, enhancing functionality and performance while collaborating with stakeholders and ensuring coding standards are met.

Design, develop, test, and maintain backend services using Java and Python within a microservices architecture. Collaborate with architects, product owners, and infrastructure to deploy containerized applications, tune performance, implement CI/CD, and support production systems. Participate in code reviews, agile ceremonies, and technical design to deliver scalable, high-quality solutions.

Designs, implements, and runs Java Spring Boot microservices and REST APIs; leads design, CI/CD, TDD, performance tuning, security, and cross-product collaboration. Coaches teams and owns product KPIs and production support.

Lead a team of developers to design, architect, and deliver scalable, secure microservices-based enterprise applications. Hands-on coding, code reviews, performance tuning, CI/CD, cloud deployments, stakeholder collaboration, and mentoring. Drive architecture, HLD/LLD, root-cause analysis, and timely delivery in Agile environments.

Senior Java Developer responsible for designing, developing, testing, and deploying Java/Spring-based services and scalable platforms. Collaborates with business stakeholders and global teams to integrate upstream/downstream systems, performs code reviews, architects new components or modifications, and works with cloud (Kubernetes, AWS), relational databases, APIs, and automated testing environments.

Lead design and delivery of scalable, resilient distributed systems. Act as technical authority across teams, mentor engineers, drive architecture and CI/CD best practices, troubleshoot production issues, optimize performance, and enhance observability while writing production-grade Java.

Design, implement, test, and maintain scalable Java/J2EE microservices using Spring technologies. Collaborate with architects, follow SDLC, perform unit/system testing, troubleshoot distributed cloud applications, and work in Agile teams to meet enterprise performance and security standards.

Lead Software Engineer responsible for designing, developing, testing, and maintaining a distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements, implement cloud and big-data solutions (Spark/Hadoop), and ensure program standards and reliable delivery.

Develop, test, and maintain a complex distributed processing application using Python and Java. Collaborate with product owners, data coaches, analysts, DBAs, and Agile teams to meet backend/frontend requirements. Work with distributed workloads (Spark/Hadoop), SQL/Snowflake, AWS, shell scripting, and job scheduling/process automation. Support delivery under Agile/SAFe practices and ensure alignment with program standards.

Design, develop, and maintain web-based UI and REST middleware for federal health IT systems. Participate in Agile/SAFe ceremonies, write design documents, implement features, resolve bugs, and support CI/CD pipelines while collaborating with product, QA, and stakeholders.

Lead backend architecture and implementation for Java Spring microservices, validate and own AI-assisted code, mentor engineers, collaborate with product to deliver features, and drive technical excellence and scalable, test-covered systems.