Top Senior Java Developer Jobs

Leads hands-on Java and Spring Boot engineering for alternative investment platforms. Designs, develops, tests, and operates secure cloud-native services on AWS, modernizes on-premises applications, and builds resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, governs AI-assisted engineering practices, and establishes standards for secure, reliable, and observable software delivery.

Develops secure, scalable software solutions using Java, Python, AWS, Terraform, and Kafka. Designs complex applications, creates architecture artifacts, delivers end-to-end systems, and ensures testing and operational stability. Leads responsible adoption of AI-assisted development tools, validates AI outputs, improves automation and CI/CD practices, and analyzes data to enhance code quality and system architecture. Collaborates within agile teams supporting corporate technology functions.

Leads software engineering within an agile banking technology team, designing, developing, testing, debugging, and operating secure, scalable Java applications. Reviews code, improves automation and continuous delivery, resolves recurring operational issues, and promotes responsible AI-assisted engineering practices. Evaluates architectural solutions with vendors and internal teams while guiding technical delivery, resiliency, cloud-native development, data streaming, and secure software practices.

Leads full-stack Java software engineering within Credit Risk Technology. Designs, develops, tests, debugs, and maintains secure, scalable production applications; reviews code; improves automation and operational stability; and promotes responsible AI-assisted engineering practices. Evaluates vendor and architectural solutions, coaches team members, and contributes across the software development lifecycle using agile, cloud-native, resilient, and secure delivery practices.

Leads development of Java and Spring Boot platforms for alternative investments. Designs, builds, tests, and operates cloud-native AWS services, modernizes on-premises applications, and implements resilient messaging and event-streaming integrations. Provides technical guidance, reviews code, drives secure AI-assisted engineering practices, establishes validation standards, and serves as a subject-matter expert across software development lifecycle practices.

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.

Lead development of Java and Spring Boot services supporting alternative investments. Re-platform applications from on-premises environments to AWS, design resilient messaging and event-streaming integrations, and ensure production stability, testing, security, and observability. Guide engineering teams, govern AI-assisted development practices, validate AI outputs, influence technical design, and promote scalable software development lifecycle practices.

Leads software engineering efforts within Credit Risk Technology, including system design, application development, testing, troubleshooting, code review, and production stability. Modernizes the technology stack, develops secure and scalable code, automates recurring remediation, evaluates vendor and architectural solutions, and promotes engineering best practices. Requires advanced Java or Python skills, strong relational database and Databricks expertise, and experience working in large corporate environments.

Lead the architecture, development, and support of secure, scalable distributed applications for automotive financial services. Build and modernize microservices across AWS and hybrid environments using Java, Spring Boot, containers, databases, and messaging platforms. Drive code quality, resilience, automation, vendor evaluations, and engineering standards. Lead responsible adoption of AI-assisted development tools, coach engineers on secure validation practices, and collaborate with product and engineering stakeholders.

Leads development of secure, scalable Java full-stack solutions for JPMorganChase’s marketing automation platform. Designs, codes, tests, reviews, troubleshoots, deploys, and supports applications across the SDLC. Modernizes marketer campaign creation using Adobe Experience Manager and Adobe Cloud capabilities, including integrations, custom development, content workflows, migration, and headless delivery. Guides AI-assisted engineering adoption, evaluates technical solutions, coordinates with design and web teams, and drives architectural and operational improvements.

Lead full-stack Java/Spring Boot development within an agile payments team. Design, build, and maintain secure, resilient backend systems using Kafka, Oracle, CI/CD, and AI-assisted engineering practices; mentor teams, evaluate vendors, and drive operational stability and automation.

Lead development of secure, scalable Java full-stack applications for mortgage technology. Design, develop, test, troubleshoot, review, and debug production code; improve operational stability through automation and remediation. Drive responsible adoption of enterprise-approved AI-assisted development tools, establish validation and security standards, coach engineers, and evaluate vendor and architectural solutions. Collaborate within agile teams using SDLC, CI/CD, resiliency, and security practices.

Lead development of an AI-first developer portal and AI-enabled support experiences, design secure external API platforms and integrations, establish engineering standards for AI/automation, remain hands-on with critical coding and architecture, drive cross-functional delivery, and coach/mentor engineering talent.

Lead full-stack software engineering initiatives using Java, Spring Boot, React, and AWS. Design and deliver secure, scalable services and web applications, create architecture artifacts, troubleshoot production issues, improve automation and observability, and lead technical design decisions. Mentor team members, guide responsible use of AI-assisted development tools, analyze application data, and improve operational stability, resiliency, and coding practices within an agile financial-services environment.

Leads design, development, testing, troubleshooting, and operational support for secure Java and Spring Boot microservices. Builds scalable AWS cloud-native services, establishes API and engineering standards, improves resiliency and observability, automates recurring issue remediation, and reviews production code. Guides responsible adoption of AI-assisted engineering tools, validates AI-generated outputs, coaches engineers on secure practices, and collaborates with security, risk, and architecture partners.

Leads development of secure, scalable backend services and APIs using Java, Spring Boot, microservices, AWS, and cloud-native technologies. Designs infrastructure with Terraform, manages containerized applications, builds event-streaming solutions, and works with relational and NoSQL databases. Drives code quality, automation, observability, SRE practices, remediation of recurring issues, and responsible use of AI-assisted engineering tools. Evaluates vendor and internal architectural solutions while reviewing and troubleshooting production code.

Hands-on lead developer responsible for designing, building, and operating cloud-native, secure, high-quality software. Drives engineering standards, mentors peers, adopts approved AI-assisted tools responsibly, automates remediation, and leads vendor/architecture evaluations.

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 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 architecture and delivery of cloud-native, scalable platforms that support product intake, collaboration, content publishing, and developer tooling. Own end-to-end initiatives, design GraphQL/REST APIs and React UIs, integrate with Jira/SCM systems, ensure security/resiliency/observability, mentor engineers, and drive cross-platform standards and AI-assisted engineering practices to improve developer productivity and platform quality.

Leads development of enterprise Java services and data platforms supporting data catalogs, lineage, entitlements, and data quality. Designs secure, resilient production software, reviews code, automates testing and remediation, and promotes CI/CD and approved AI-assisted engineering practices. Provides technical leadership in Agile teams through architecture ownership, mentoring, standards development, and vendor evaluations. Works with relational and NoSQL databases, messaging, search, caching, and modern data platforms.

Lead design and delivery of scalable Java microservices and cloud-native AWS solutions. Mentor engineers, improve CI/CD and testing, build Databricks/Spark data pipelines, apply event-driven patterns (Kafka), and govern enterprise AI-assisted development practices to ensure secure, resilient, and cost-effective production systems.

Leads software engineering for JPMorganChase’s Payments technology organization. Designs, develops, tests, reviews, debugs, and operationalizes secure, scalable Java and cloud-native applications using microservices, Kafka, AWS, and PostgreSQL. Provides technical direction, serves as a subject matter expert, influences architecture and operations, and promotes enterprise software development practices. Drives responsible adoption and governance of AI-assisted engineering tools, including validation for correctness, performance, security, and compliance.

Leads full-stack software engineering across design, development, testing, troubleshooting, and operational stability. Builds secure production code using Java or Python and React, reviews peer code, and promotes AI-assisted engineering practices with secure validation standards. Drives automation, continuous delivery, application resiliency, cloud-native development, vendor evaluations, architectural improvements, and technical communities of practice within financial technology.

Lead a global agile scrum team to design, build, and operate scalable, secure microservice-based applications. Integrate AI (Claude Code) into development and delivery, drive architecture and technical decisions, mentor engineers, enforce AI-assisted engineering governance, and ensure production quality, stability, and automation across the SDLC.