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Sr Application Architect Java

Apetan ConsultingDallas, TX🇺🇸United StatesPosted 10 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role: Sr Application Architect Java

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


Experience: 14 to 18 years
 
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.

Skills

Docker
Microservices
SQL
Spring
Spring Boot
AWS
Machine Learning
Azure
Java
Kubernetes
REST

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