Work closely with architects, developers, data engineers, business stakeholders, and project managers to deliver effective technology solutions, focusing on continuous improvement and team collaboration.
Responsibilities
Contribute to code reviews
Knowledge sharing
Technical documentation
Mentoring junior developers
Identify opportunities to improve application performance, development efficiency, code quality, and engineering practices
Requirements
Bachelor's degree in Computer Science, Engineering, or a related discipline
Support a development of enterprise applications, including migration of legacy/on-prem applications to AWS cloud and related technologies.
Compensation
$86,000 - $138,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual’s experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.
Responsibilities
Support application architecture, design, development, unit testing, implementation, and production support activities
Design and develop solutions using Java 17+, Spring Boot, Spring Batch, Informatica, and JBoss
Develop and integrate cloud-based solutions using AWS services (EC2, S3, SDS, DynamoDB, SQS, Lambda, and AWS CLI)
Design, deploy, and support containerized services using OpenShift and Kubernetes
Support implementing the proposed technical design, coding standards, architecture, and development best practices
Senior full‑stack developer responsible for designing, building, and maintaining end‑to‑end software solutions, leading technical teams, and ensuring secure, scalable deployments in cloud and regulated environments.
Compensation
The projected compensation range for this position is $86,900.00 to $198,000.00 (annualized USD).
Responsibilities
Develop end‑to‑end software solutions using C#/.NET or Java/Spring Boot
Build and maintain automated CI/CD pipelines with GitLab CI, GitHub Actions, or Azure DevOps
Deploy and manage workloads in AWS, Azure, or Google Cloud
Design and implement microservices, event‑driven architectures, and RESTful or gRPC services
Implement Infrastructure‑as‑Code with Terraform, Ansible, or Bicep
Rejoindre une équipe d’ingénierie senior pour intervenir sur des architectures distribuées à haute volumétrie, en environnement microservices. Le rôle est focalisé sur l’expertise technique, la conception, l’industrialisation et la qualité du code.
Responsibilities
Conception et développement de microservices complexes haute performance
Structuration du code selon les principes Clean/Hexagonal
Mise en place des standards de développement, code reviews exigeantes
Optimisation des performances backend (scalabilité, temps de réponse)
Industrialisation CI/CD et intégration des tests avancés
Requirements
Diplômé(e) d'une école d'Ingénieur ou d'une formation Universitaire ou équivalent
We are seeking an experienced, hands-on Technical Lead – GenAI & Java Microservices with strong enterprise engineering expertise in Java 17+ and Spring Boot microservices, along with practical experience implementing Generative AI solutions. The ideal candidate will lead the design, development, and deployment of AI-enabled microservices, integrating Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and agentic workflows into scalable enterprise platforms. This role combines technical architecture, hands-on engineering, team leadership, and production delivery.
Responsibilities
Design and implement enterprise-grade GenAI solutions integrating LLMs and foundation models into business applications and microservices
Build and maintain RAG pipelines, semantic search, vector indexing, and agent orchestration workflows
Implement prompt engineering, structured prompt templates, and retrieval optimization
Integrate LLM services such as OpenAI, Anthropic Claude, Azure OpenAI, AWS Bedrock, and open-source models
Establish AI security guardrails, including prompt injection protection, PII masking, data loss prevention, and token cost optimization
Seeking an experienced GenAI Architect with deep enterprise engineering roots in modern Java (17+) and Spring Boot microservices. In this role, the selected candidate will define the architectural blueprint for integrating enterprise-grade Generative AI capabilities—including LLM orchestration, Retrieval-Augmented Generation (RAG), vector databases, and multi-agent workflows—into resilient, high-throughput microservices ecosystems.
Responsibilities
Design and govern scalable, secure architectures embedding LLMs and foundation models into core business platforms and microservices backends
Architect and standardize microservices utilizing Java 17+ / Java 21, Spring Boot 3.x, and reactive patterns (Spring WebFlux)
Design and implement robust RAG pipelines, semantic caching, vector search indexing, and agent orchestration patterns
Establish architectural guardrails for model security, prompt injection defenses, PII masking, data loss prevention (DLP), token cost optimization, and model evaluation/observability
Champion event-driven integration using Apache Kafka, container orchestration via Docker and Kubernetes/Helm, and cloud-native AI deployments (AWS/GCP/Azure)
Seeking an experienced GenAI Architect with deep enterprise engineering roots in modern Java (17+) and Spring Boot microservices. In this role, the selected candidate will define the architectural blueprint for integrating enterprise-grade Generative AI capabilities—including LLM orchestration, Retrieval-Augmented Generation (RAG), vector databases, and multi-agent workflows—into resilient, high-throughput microservices ecosystems.
Responsibilities
Design and govern scalable, secure architectures embedding LLMs and foundation models into core business platforms and microservices backends
Architect and standardize microservices utilizing Java 17+ / Java 21, Spring Boot 3.x, and reactive patterns (Spring WebFlux)
Design and implement robust RAG pipelines, semantic caching, vector search indexing, and agent orchestration patterns
Establish architectural guardrails for model security, prompt injection defenses, PII masking, data loss prevention (DLP), token cost optimization, and model evaluation/observability
Champion event-driven integration using Apache Kafka, container orchestration via Docker and Kubernetes/Helm, and cloud-native AI deployments (AWS/GCP/Azure)
Software Engineer (AWS Cloud Services)NewPeraton · Lanham, US
Développeur Expert Java – Services Financiers - Ile de FranceNewSopra Steria · Paris, France