Top Java Developer Jobs

Leads a team of software engineers in designing, developing, testing, and operating secure, resilient Java microservices. Oversees architecture, implementation, technical troubleshooting, and design documentation for event-driven systems using Kafka, Spring Boot, and cloud infrastructure. Promotes automation, responsible AI-assisted development, secure coding, continuous delivery, operational stability, and adoption of emerging technologies. Provides technical leadership across agile teams and evaluates architectural solutions with vendors and internal stakeholders.

Leads software engineering efforts across design, development, testing, troubleshooting, and operational stability. Builds secure, scalable production applications using C#/.NET, Java, React, and related technologies; reviews code and drives automation, CI/CD, cloud development, and testing practices. Leads adoption of approved AI-assisted engineering tools with responsible-use standards, evaluates architectural solutions with vendors and internal teams, and promotes engineering communities of practice.

Leads development of secure, scalable Java backend applications within an agile banking technology team. Designs, codes, tests, troubleshoots, and reviews production software while improving automation, resilience, and operational stability. Evaluates architectures and technologies, promotes software engineering best practices, and coaches teams on AI-assisted development, responsible AI use, cloud-native technologies, continuous delivery, and secure engineering workflows.

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.

Develops and supports scalable Java applications and microservices for liquidity management platforms. Designs secure, resilient cloud-enabled systems, creates architecture artifacts, troubleshoots production issues, and improves application performance and reliability. Uses enterprise-authorized AI-assisted development tools responsibly for coding, testing, documentation, and automation. Collaborates with product, architecture, and engineering teams in an agile environment and applies secure SDLC, CI/CD, distributed-systems, and application-resiliency practices.

Lead the design and development of enterprise-grade Java applications, focusing on microservices architecture and mentoring junior engineers. Collaborate with cross-functional teams to translate requirements into technical solutions, ensuring quality and performance.

Lead the design and development of application features using Java and Angular, oversee backend and frontend architecture, and mentor engineers.

Lead design, develop, test, and support enterprise backend services using Java/Spring Boot and Python. Build RESTful APIs, integrate data services, and deliver AI/ML-enabled features (LLMs, RAG, vector search) through the full SDLC. Produce architecture artifacts, ensure code quality, observability, security, and collaborate in Agile teams.

Leads development of secure, scalable Java and AWS software systems, including microservices, event-driven platforms, and production machine-learning systems. Designs data and feature pipelines, model deployment and monitoring, automation, CI/CD, and operational stability practices. Guides code reviews, testing, secure coding, vendor evaluations, and responsible adoption of AI-assisted engineering tools. Collaborates across product, data, platform, SRE, and governance teams while promoting MLOps, LLM, observability, and model-monitoring practices.

Lead full-stack engineering within Payments Technology: design, develop, and maintain secure, resilient Spring Boot/Java services; drive CI/CD, Kafka event-driven solutions, AI-assisted engineering adoption, and architectural reviews to improve stability and delivery.

Lead hands-on development of enterprise-grade Java and AWS services supporting ATM channel capabilities. Design and govern APIs, databases, microservices, containers, observability, and automation while ensuring reliability, security, testing, compliance, and operational readiness. Provide technical guidance, conduct code reviews, troubleshoot production issues, coach engineers, and partner with stakeholders on disciplined delivery, change management, auditability, and access controls.

Design, develop, test, and maintain front-end Angular applications and back-end Java/Spring Boot microservices. Build reusable UI components, implement secure performant user experiences, design scalable APIs, ensure data integrity and observability, and produce technical documentation. Participate in code reviews, debugging, and continuous improvement.

Develops and supports Java backend services using Spring Boot and GraphQL. Designs, codes, tests, deploys, documents, maintains, and debugs software solutions. Writes complex Oracle SQL queries and supports API integrations for reliable, scalable application performance. The role requires collaboration on technical designs, risk management, troubleshooting, and software delivery within PNC’s Asset Management Group.

Leads complex, large-scale Java payment technology initiatives. Designs, codes, tests, debugs, documents, and evaluates enterprise technology solutions while establishing engineering standards and best practices. Collaborates with technical experts and stakeholders, resolves complex issues, leads projects and teams, mentors engineers, and supports new initiatives. The role requires on-call availability in a 24x7 environment and hybrid on-site work in Charlotte, North Carolina, or Iselin, New Jersey.

Leads complex, large-scale software engineering initiatives for payments technology. Designs, codes, tests, debugs, documents, and reviews Java-based solutions using Spring Boot, databases, Kafka, microservices, APIs, cloud, and containerization. Establishes engineering standards, resolves complex technical issues, mentors teams, collaborates with stakeholders and senior technology leaders, and supports initiatives in a 24x7 on-call environment.

Leads software engineering projects and developers building distributed microservices, full-stack systems, and cloud-based solutions. Collaborates with product managers, addresses regulatory needs, mentors engineers, and applies Java, Go, JavaScript, TypeScript, SQL, Python, AWS, Docker, Kubernetes, and database technologies.

Develops secure, stable, and scalable software within an agile team. Responsibilities include designing, coding, testing, troubleshooting, and maintaining Java applications and APIs; considering upstream and downstream system impacts; applying SDLC automation; analyzing data to resolve problems; and contributing to application resiliency, security, and operational stability. The role collaborates across the software development lifecycle and supports continuous technical growth.

Leads software engineering efforts within an agile banking technology team. Provides technical guidance, develops and reviews secure production code, drives AI-assisted engineering practices, influences application design and technical operations, and supports system design, testing, troubleshooting, and production systems. Requires strong Java and Spring Boot skills, clean coding and design-pattern expertise, full software lifecycle experience, and experience with low-latency, high-throughput systems.

Leads end-to-end full-stack software engineering for secure, scalable risk framework products. Responsibilities include Java and Spring Boot development, React and TypeScript frontend engineering, system design, API and event-driven integrations, automated testing, DevOps, SRE, observability, incident response, and reliability improvements. The role also establishes technical direction, reviews code, evaluates architectural solutions, automates recurring remediation, and coaches teams on secure, responsible use of AI-assisted engineering tools.

Senior software engineer responsible for designing, building, and maintaining Java-based cloud-native microservices on Azure. Collaborate across teams to deliver scalable services, contribute to architecture and code quality, and mentor junior engineers.

Lead a team building distributed microservices and full-stack cloud solutions using JavaScript, Java, Python, Go, React, containers, and AWS. Mentor engineers, collaborate with product managers, drive regulatory-focused technology projects, and experiment with new technologies and AI tooling to improve developer productivity and customer experiences.

Lead a team and portfolio of cloud-native, full-stack projects building distributed microservices and regulatory solutions. Mentor engineers, collaborate with product managers, and deliver AWS-based, containerized applications using Java, Go, JavaScript/TypeScript, databases, and orchestration tools.

Lead a team building cloud-native, distributed microservices and full-stack systems to support credit line calculations for regulatory compliance. Collaborate with product managers, mentor engineers, experiment with emerging tech, and occasionally code and review code using Java, Python, container orchestration, Databricks, and AWS services.

Leads the design, development, testing, troubleshooting, and operational support of secure, scalable cloud-native applications. Builds Java and Spring Boot microservices on cloud platforms, improves resiliency and availability, supports CI/CD, investigates incidents, and drives durable automation. The role also leads responsible adoption of AI-assisted engineering tools, establishes validation standards, and coaches team members on secure and compliant use.

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.