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Senior Java Developer (with LLM expertise)

  • London, ON, Canada

Hybrid

Full-time

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Job details

Job type
Full-time
Workplace
Hybrid
Experience
7+ years of experience designing and implementing large-scale enterprise applications.
Posting language
English
Posted

Original job description

Company Description

Miratech helps visionaries change the world. We are a global IT services and consulting company that brings together enterprise and start-up innovation. Today, we support digital transformation for some of the world's largest enterprises. By partnering with both large and small players, we stay at the leading edge of technology, remain nimble even as a global leader, and create technology that helps our clients further enhance their business. We are a values-driven organization and our culture of Relentless Performance has enabled over 99% of Miratech's engagements to succeed by meeting or exceeding our scope, schedule, and/or budget objectives since our inception in 1989.

Miratech has coverage across 5 continents and operates in over 25 countries around the world. Miratech retains nearly 1000 full-time professionals, and our annual growth rate exceeds 25%.

Job Description

We are looking for a Senior Java Developer with LLM expertise to lead the technical design, development and integration of core banking application systems for a major financial services client.

This role bridges high-scale microservices architecture with GenAI. You will help the bank build scalable, resilient, API-driven ecosystems that embed LLMs, agentic workflows, and intelligent automation into business processes. Day-to-day, you will implement solutions designed by the architecture team in Java and Spring Boot, build LLM-powered and agentic features, and shape how the wider developer group adopts AI-assisted engineering.

Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office.

Responsibilities:

  • Lead the design and delivery of Java/Spring Boot microservices, establishing API-first design principles, service-to-service communication and secure integration patterns.
  • Implement solutions designed by architects, turning target designs into production-ready, well-tested services.
  • Identify, prototype and build automation using AI technologies, and architect backend systems that support LLM integration, Retrieval-Augmented Generation (RAG) and vector databases.
  • Build agentic workflows and design, test and refine prompts for LLM-powered features.
  • Design event-driven workflows using streaming platforms such as Kafka.
  • Ensure solutions fit containerized, cloud-native deployments on Docker, Kubernetes/OpenShift or Azure, delivered through CI/CD pipelines.
  • Drive formal design reviews, contribute to technology stack selection, and define caching and observability strategies.
  • Manage application security, including OAuth2/JWT authentication and authorization.
  • Promote AI-assisted engineering across the developer group, including prompt engineering and the practical adoption of GitHub Copilot to speed up software delivery.

Qualifications

  • 7+ years of experience designing and implementing large-scale enterprise applications.
  • Deep expertise in Java, Spring Boot, RESTful APIs and gRPC services.
  • Strong proficiency in Python, prompt patterns, LLM orchestration frameworks such as LangChain or LlamaIndex, and working with vector databases.
  • Hands-on experience with Kafka, RDBMS/SQL, NoSQL and high-performance caching architectures.
  • Experience with CI/CD pipelines (Jenkins, GitHub Actions), Docker/Podman, OpenShift/Kubernetes and cloud platforms.
  • Solid understanding of application security, including OAuth2 and JWT.
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology or a related field, or equivalent practical experience.

Nice to have:

  • Experience in banking, financial services or another regulated industry.
  • Experience with production GenAI solutions, multiple LLM providers, LLM evaluation and agentic workflows.
  • Familiarity with AI governance, model risk management, privacy controls and responsible AI practices.
  • Experience with Redis, messaging and streaming services, and Infrastructure as Code.
  • Experience with security testing, DevSecOps, Agile/Scrum and GitHub Copilot.
  • Experience mentoring developers and contributing to architecture standards, technical governance and engineering strategy.

Additional Information

We offer:

  • Culture of Relentless Performance: join an unstoppable technology development team with a 99% project success rate and more than 30% year-over-year revenue growth.
  • Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
  • Work From Anywhere Culture: make the most of the flexibility that comes with remote work.
  • Growth Mindset: reap the benefits of a range of professional development opportunities, including certification programs, mentorship and talent investment programs, internal mobility and internship opportunities.
  • Global Impact: collaborate on impactful projects for top global clients and shape the future of industries.
  • Welcoming Multicultural Environment: be a part of a dynamic, global team and thrive in an inclusive and supportive work environment with open communication and regular team-building company social events.
  • Social Sustainability Values: join our sustainable business practices focused on five pillars, including IT education, community empowerment, fair operating practices, environmental sustainability, and gender equality.

* Miratech is an equal opportunity employer and does not discriminate against any employee or applicant for employment on the basis of race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law.

More about this job

Responsibilities

The Senior Java Developer at Miratech will build and lead Java and Spring Boot services, design LLM-powered and agentic features, and implement architect-designed solutions for a bank. They will also promote AI-assisted engineering across the team.

Requirements

Candidates need 7+ years building large enterprise applications, deep Java and Spring Boot skills, and Python with LLM frameworks and vector databases. Experience with Kafka, Docker, Kubernetes, CI/CD and OAuth2/JWT security is also required.

Skills

  • Java
  • Spring Boot
  • RESTful APIs
  • gRPC
  • Python
  • prompt engineering
  • LangChain
  • LlamaIndex
  • vector databases
  • Retrieval-Augmented Generation
  • agentic workflows
  • Kafka
  • RDBMS/SQL
  • NoSQL
  • caching architectures
  • Jenkins
  • GitHub Actions
  • Docker
  • Podman
  • OpenShift
  • Kubernetes
  • Azure
  • OAuth2
  • JWT
  • GitHub Copilot

Benefits

  • Health insurance
  • Relocation program
  • Remote work flexibility
  • Certification programs
  • Mentorship and talent investment programs
  • Internal mobility

Categories

  • Software
  • Technology
  • Finance & Accounting

Keywords

  • Java
  • Spring Boot
  • Python
  • LLM
  • LangChain
  • LlamaIndex
  • RAG
  • vector databases
  • agentic workflows
  • prompt engineering
  • Kafka
  • microservices
  • REST APIs
  • gRPC
  • Docker
  • Kubernetes
  • OpenShift
  • Azure
  • CI/CD
  • GitHub Actions

Seniority

Senior

Perks

  • Flexible hours
  • Relocation support

Tools

  • Java
  • Spring Boot
  • Python
  • LangChain
  • LlamaIndex
  • Kafka
  • Docker
  • Kubernetes
  • OpenShift
  • Jenkins

Languages

  • English

Fields of study

  • Computer Science
  • Software Engineering
  • Information Technology

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