Specialist - Software Engineering- React

LTM; Warszawa; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

LTM is seeking an experienced Full Stack Software Engineer to join our Warsaw technology team. You will work on React-based frontends and Java Spring Boot backends within a microservices架构, deploying in cloud environments.

You will collaborate with product owners, architects, and QA to deliver scalable, secure, and high-performance applications, while integrating GenAI/LMM solutions and driving CI/CD and DevOps practices.

Qualifications

• 5–7 years of software development experience.
• Strong React and Java Spring Boot expertise.
• Experience with microservices and REST APIs.
• Cloud platforms (AWS/Azure/GCP) and containerization (Docker, OpenShift, Kubernetes).
• GenAI/LMM integration and LLMOps familiarity.
• Excellent communication in English; Bachelor's/Master's degree in CS/IT.

Responsibilities

• Design, develop, and maintain enterprise-grade web applications.
• Build scalable RESTful APIs and microservices.
• Develop reusable frontend components with React.
• Deploy and manage apps on cloud environments.
• Implement secure, high-performance backend services.
• Collaborate with product owners and QA.
• Contribute to CI/CD pipelines and release management.
• Participate in sprint ceremonies and architecture reviews.
• Integrate GenAI models with LLMOps for lifecycle management.

Skills

React

Spring Boot

GenAI

LLMOps

Cloud platforms

Microservices

REST APIs

Docker

Kubernetes

OpenShift

SQL/NoSQL

Education

Bachelor's or Master's in CS/IT/Engineering

Tools

Docker

OpenShift

Kubernetes

Git

AWS/Azure/GCP

Spring Boot

Job description

Role Description

Job Summary

We are seeking an experienced Full Stack Software Engineer with expertise in React Spring Boot GenAI including LLMOps and cloudnative application development to join our technology team in Warsaw Poland

Job Description

Location Warsaw Poland Hybrid 3 days office 2 days remote subject to project requirements Experience 5 to 7 years Employment Type Full Time Work Model Hybrid Strong development experience in Reactjs and backend development with Java Spring Boot Expertise in Microservices architecture and REST API development Handson experience with Cloud platforms AWS Azure or GCP Proficient in containerization technologies including Docker OpenShift and Kubernetes Experience in developing scalable secure and highperformance enterprisegrade web applications Familiarity with database technologies including SQL and NoSQL Experience with Gitbased source control systems Exposure to Generative AI specifically GenAI solutions LLM integrations RAG AIassisted development and newly added LLMOps Knowledge of DevOps practices including CICD pipelines release and environment management Agile Scrum delivery experience Strong verbal and written communication skills Bachelors or Masters degree in Computer Science Engineering IT or related discipline Preferred Experience with Lightspeed platformtools DevSecOps practices bankingfinancial services domain eventdriven architectures Kafka cloudnative monitoring and observability tools and securityfirst development

Roles and Responsibilities

• Design develop and maintain enterprisegrade web applications using React and Spring Boot
• Develop scalable RESTful APIs and microservices
• Build responsive and reusable frontend components using React and modern JavaScriptTypeScript frameworks
• Implement secure highperformance backend services
• Deploy and manage applications on cloud environments
• Develop containerized applications using Docker and manage deployments with OpenShift and Kubernetes
• Ensure high availability scalability and reliability of applications
• Participate in architecture discussions and technical design reviews
• Write clean maintainable and testable code
• Perform code reviews and support quality engineering practices
• Troubleshoot production issues and provide timely resolutions
• Contribute to CICD pipelines and automated deployment processes
• Support release management and environment management activities
• Collaborate with platform and infrastructure teams for smooth deployments
• Work closely with Product Owners Architects QA teams and business stakeholders
• Participate in sprint planning estimation standups and retrospectives
• Drive continuous improvement initiatives
• Integrate and operate Generative AI models with focus on LLMOps for efficient lifecycle management and deployment