Java Architect

Sr Java Application Architect

Industry: Banking and Financial Services

Employment Type: Full-Time

Experience: 14 to 20 years

Location: Strongsville, Ohio or Dallas, TX or Pittsburgh, PA| Work Model: Hybrid

Position Overview

We are seeking a highly experienced and hands-on Senior Software Architect to lead the architecture, design, and engineering of large-scale banking applications. This role requires a strong history of Java application development , deep expertise in distributed and web-based systems, and the ability to translate complex business requirements into secure, scalable, and resilient technology solutions.

The ideal candidate will have progressed from a hands-on Java developer into an architecture leadership role while continuing to remain technically engaged. The architect will lead the design of cross-functional, multi-platform application ecosystems and define application components, integration patterns, platforms, interfaces, engineering standards, and development tools.

Candidates should bring prior experience working in a technology consulting organization such as Incedo or a similar engineering-led consultancy , with demonstrated success delivering enterprise solutions for banking or financial-services clients.

Required Qualifications

• 14 to 18 years of overall software engineering and architecture experience.
• Strong and demonstrable history of hands-on Java development . This is a mandatory requirement.
• Experience progressing from Java developer or technical lead into application, solution, or software architecture roles.
• Deep knowledge of:
• Java and enterprise Java development
• Spring, Spring Boot, and related frameworks
• Microservices and domain-driven architecture
• RESTful APIs and API-first design
• Distributed systems and web-based applications
• Event-driven and asynchronous architecture
• Relational and NoSQL databases
• Cloud-native architecture and container platforms
• DevSecOps, CI/CD, automated testing, and observability
• Experience producing solution architecture documents, technical blueprints, logical and physical architecture diagrams, sequence diagrams, data-flow diagrams, and architecture decision records.
• Strong understanding of enterprise architecture frameworks, principles, capability models, and governance practices.
• Experience performing technology evaluations, architecture reviews, risk assessments, and solution trade-off analyses.
• Proven ability to lead architecture across multiple applications, platforms, delivery teams, and business functions.
• Strong experience designing secure, scalable, resilient, and high-volume enterprise applications.
• Banking or financial-services technology experience.
• Prior experience with Incedo or a comparable technology consulting, digital engineering, or product engineering organization .
• Strong communication, stakeholder-management, consulting, and technical-presentation skills.
• Ability to work in a hybrid model from one of the listed locations.

Technical Competencies

Core Engineering

• Java 8/11/17 or later
• Spring Framework and Spring Boot
• REST APIs, OpenAPI, and API gateways
• Microservices and distributed systems
• SQL, data modeling, and relational databases
• NoSQL and caching technologies
• Message brokers and event-streaming platforms
• Unit, integration, contract, and performance testing

Architecture

• Application and solution architecture
• Domain-driven design
• Event-driven architecture
• Service-oriented and microservices architecture
• Integration and API architecture
• Enterprise architecture frameworks
• Cloud-native and modernization architecture
• High availability and disaster recovery
• Performance, scalability, and resiliency engineering

Cloud and DevSecOps

• AWS, Azure, or another major cloud platform
• Docker and Kubernetes
• CI/CD pipelines and infrastructure automation
• Application monitoring, logging, tracing, and observability
• Secure software development lifecycle practices
• Identity and access management
• Vulnerability management and security controls

Data and Machine Learning

• Enterprise data integration and data-flow design
• Operational and analytical data patterns
• Machine learning solution design and integration
• Model-serving and API-integration patterns
• Data security, governance, and privacy
• Identification of practical machine learning use cases that improve customer solutions or create competitive advantages

Preferred Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, Information Technology, or a related field.
• Experience with high-volume banking platforms, regulated applications, or mission-critical transaction-processing systems.
• Experience modernizing monolithic applications into microservices or modular architectures.
• Familiarity with TOGAF or comparable enterprise architecture frameworks.
• Experience with Kubernetes-based application platforms and public-cloud services.
• Exposure to artificial intelligence and machine learning platforms in regulated enterprise environments.
• Relevant Java, cloud, Kubernetes, security, or architecture certifications.
• Experience working with globally distributed teams in an onsite-offshore consulting delivery model.

Key Success Attributes

• Hands-on architect who can move comfortably between strategy, design, code, and production troubleshooting.
• Strong technical judgment and the ability to make pragmatic architecture decisions.
• Customer-focused approach to designing banking solutions.
• Ability to identify technical solutions that create meaningful competitive advantages.
• Strong ownership of architecture quality, technical risk, security, and delivery outcomes.
• Ability to influence stakeholders and engineering teams without relying only on formal authority.
• Effective balance of enterprise standards, business priorities, engineering feasibility, cost, and time to market.