Senior Java Engineer to join Compliance & Supervision Technology, shaping technology solutions that meet regulatory obligations, strengthen supervisory controls, and manage conduct and trade-related risks.
Compensation
We’re committed to providing fair and equitable compensation to all our colleagues. As a candidate, we encourage you to have an open dialogue with a member of our HR Team and ask compensation related questions, including pay details for this role.
Responsibilities
Help build and lead a high-performing engineering team across multiple delivery streams
Help establish engineering standards, development practices, and quality controls
Drive accountability for solution design, code quality, testing, deployment, and operational stability
Provide coaching, mentoring, and career development to junior developers in the team
Foster a culture of continuous improvement, innovation, and technical excellence
Requirements
Bachelor's degree in computer science or a related field
Build and deploy enterprise GenAI and agentic AI solutions on AWS, turning business challenges into production‑ready products.
Compensation
Expected Annual Base Salary Range for role: €63,800 to €118,400
Responsibilities
Own the end‑to‑end delivery of AWS‑based AI and agentic AI solutions, translating business priorities into clear technical solutions and measurable outcomes.
Work directly with Product Managers, Product Owners and business stakeholders to understand workflows, rapidly prototype solutions and take viable concepts into production.
Design, build and deploy enterprise GenAI and agentic AI solutions using AWS cloud services, including technologies such as Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3 and DynamoDB.
Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations and appropriate guardrails to deliver accurate and responsible outcomes.
Build secure integrations across AI capabilities, enterprise data and business platforms, including AWS services, MuleSoft, Veeva and other approved enterprise technologies as relevant.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology or a related discipline, or equivalent professional experience.
As a Forward Deployed Engineer – AWS Stack, you will work at the intersection of AI, engineering, product and business, turning high-value challenges into secure, scalable and production-ready solutions on AWS.
Compensation
Expected Annual Base Salary Range for role: €63,800 to €118,400
Responsibilities
Own the end-to-end delivery of AWS-based AI and agentic AI solutions, translating business priorities into clear technical solutions and measurable outcomes.
Work directly with Product Managers, Product Owners and business stakeholders to understand workflows, rapidly prototype solutions and take viable concepts into production.
Design, build and deploy enterprise GenAI and agentic AI solutions using AWS cloud services, including technologies such as Amazon Bedrock, Amazon SageMaker, OpenSearch, Lambda, API Gateway, S3 and DynamoDB.
Design agent intelligence using prompts, reasoning, retrieval, tool calls, integrations and appropriate guardrails to deliver accurate and responsible outcomes.
Build secure integrations across AI capabilities, enterprise data and business platforms, including AWS services, MuleSoft, Veeva and other approved enterprise technologies as relevant.
Requirements
Bachelor’s degree in Computer Science, Software Engineering, Artificial Intelligence, Information Technology or a related discipline, or equivalent professional experience
Lead complex AI/ML initiatives, design, develop, evaluate, and operationalize enterprise AI solutions, mentor junior data scientists, and collaborate across engineering and product teams.
Responsibilities
Design and develop AI/ML solutions for enterprise applications
Evaluate and operationalize models, including RAG and fine-tuning
Lead experimentation and MLOps pipelines
Mentor junior and mid-level data scientists
Collaborate with AI Engineering, Platform Engineering, and product teams
Requirements
Bachelor’s degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or related field
The Principal Software Engineer will lead the development of innovative, scalable software solutions that support complex document review workflows for healthcare payers and providers.
Compensation
Our comprehensive compensation package includes competitive salaries, highly valued health insurance, a 401(k) plan with employer match, paid parental leave, and more.
Responsibilities
Lead the evolution of our document processing pipeline: designing Step Functions state machines, writing the modular Go services that run inside them, and defining contracts that let workflow steps be swapped in and out cleanly.
Own the hard problems around processing real-world PDFs reliably at scale — malformed input, structural variance, and performance across documents from a few pages to tens of thousands.
Build out operational metrics and observability — starting with the document pipeline, extending to other platform areas as needs surface.
Take a concept from "here's roughly the problem" to a shipped, working solution with minimal hand-holding.
Mentor and grow the other engineers working in this space, and advocate for the pipeline's forward progress.
Garant de la stabilité, de la résilience et des performances des plateformes Cloud Souveraines, en appliquant une culture du terrain et du RUN.
Compensation
Un package de rémunération attractif
Responsibilities
Assurer la disponibilité et la surveillance proactive des plateformes sur environnements Google Cloud / S3NS
Industrialiser le déploiement, la gestion de configuration et la maintenance des infrastructures via Terraform, Ansible, Git environment et pipelines CI/CD
Définir et suivre les indicateurs de fiabilité (SLO / SLI), implémenter la métrologie et l'observabilité (Prometheus, Grafana) et concevoir des mécanismes auto-correcteurs
Gérer les demandes et incidents de niveau avancé via notre ITSM (ServiceNow), participer au diagnostic approfondi et mener les post-mortems
Intégrer la sécurité opérationnelle (DevSecOps) et la conformité au cœur des pipelines d'exploitation
Requirements
Diplôme de niveau Bac+5 en informatique / ingénierie (ou équivalent par l'expérience)
Lead the platform engineering function for a major UK client, owning the technical direction, delivery and reliability of a critical cloud platform.
Responsibilities
Lead, mentor and develop the platform engineering team, covering resourcing, recruitment, performance management and on-call rota design.
Own the platform across all environments, setting the multi-year technical direction and roadmap, including Kubernetes and service mesh upgrades, lifecycle management and architectural improvements.
Design, build and operate AWS infrastructure as code using Terraform, and run modern container platforms including Amazon EKS, Karpenter, Istio and GitOps-based deployment.
Own the reliability and performance of CI/CD pipelines (Azure DevOps, Argo CD), ensuring fast, secure, repeatable releases with automated testing, quality gates and rollback.
Drive platform availability, resilience and disaster recovery, including backup and restore testing, failover and incident response leadership, supported by observability and alerting (Prometheus, Grafana, OpenTelemetry, OpenSearch, CloudWatch).
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