Jobs at Exadel

Test, monitor, and ensure quality of digital content data and deliveries (primarily for France). Support clients in French, escalate quality issues, document QA processes, and collaborate with stakeholders to improve processes and implement new measurement technologies.

The Senior Mobile App Developer will design and maintain Android applications, collaborate with teams, mentor engineers, and optimize application performance while ensuring high engineering quality through testing.

Join a global tech company as a Senior Full-Stack Software Engineer, focusing on core product evolution, architectural decisions, and delivering high-quality software solutions using Python and React.

The Business Analyst will support commodities trading operations, gather business requirements, analyze workflows, and collaborate with technology teams for effective trading solutions.

Assess and document current and target-state Martech architecture, identify consolidation and integration opportunities, define unified data/process flows and integration patterns, produce architecture artifacts and implementation guidance, and work with stakeholders to plan and govern consolidation for an AI-ready future state.

Design, estimate, and implement full-stack features; decide front- or back-end approaches; review pull requests; coach teammates; and integrate Axiom SL with client applications in a capital markets context. Collaborate with product teams to keep the technology stack current and navigate complex client environments.

Design, build, test, deploy, and maintain scalable backend services in Java. Work with event-driven architectures (Kafka, SQS, RabbitMQ), relational databases, AWS services, and containerized environments. Ensure observability, scalability, and reliability while collaborating with cross-functional teams and promoting engineering best practices.

Lead design and evolution of cloud-native, microservice-based architectures (primarily Azure). Build performant REST APIs, event-driven systems, and AI/Generative AI integrations. Produce architecture artifacts, drive cloud modernization and migrations, embed security/compliance, and champion AI-assisted development to improve engineering productivity.

Join an AI-first team to build LLM and agentic applications end-to-end. Contribute to ideation, implementation, testing, and research, while learning from senior AI engineers in a mentorship-driven environment.

Design, build, and operate core cloud platform components (SSO, access management, networking, CI/CD, observability). Own IaC (Terraform, modules, multi-account governance), AWS landing zones, clusters (ECS/EKS), and developer onboarding. Provide self-service tools, platform abstractions, security guardrails, documentation, and operational standards to enable secure, scalable deployments across distributed teams.

The Senior/Lead Machine Learning Engineer will design and implement document intelligence pipelines, optimize ML models for document processing, collaborate with experts, and monitor production systems.

Design, build, test, deploy, and maintain scalable Java backend services and integrations. Troubleshoot production issues, ensure security, monitoring, performance, and reliability, and provide senior technical guidance while collaborating across product and engineering teams.

Lead end-to-end delivery of enterprise SaaS upgrade projects: plan, manage resources, risks, budgets, and schedules; coordinate Engineering, QA, Infrastructure, Operations and business stakeholders; serve as primary client contact; manage multiple concurrent engagements, governance, financial tracking, issue resolution, and continuous improvement across delivery methodologies.

Serve as liaison between front-office users, traders, quants, and technical teams to gather requirements, configure and upgrade Murex trading modules, support pricing and market data, create and execute test cases, troubleshoot defects, and provide on-demand front-office support to optimize trading workflows and platform performance.

Provide first-line endpoint and IT support: answer common service questions, communicate incident status, perform basic troubleshooting and routine procedures, maintain inventories and JIRA task hierarchy, follow security policies, and escalate to senior staff as needed.

The role involves agile development, back-end solutions with Java Quarkus, maintaining production environments, and collaborating with business and IT teams.

Lead and improve cloud network infrastructure and automation across Azure and AWS. Own CI/CD pipelines, Terraform deployments, DNS/WAF configurations (Cloudflare), and use AI-assisted tools to drive automation, monitoring, and continuous improvement.

Develop and enhance Java-based backend applications and microservices using Spring Boot and Quarkus. Integrate with Nasdaq Calypso ecosystem, build event-driven solutions on AWS (SQS, SNS, Lambda, DynamoDB, API Gateway), and implement observability. Participate in architecture discussions, code quality initiatives, agile ceremonies, automation, and use AI-enabled development tools to improve productivity.

Lead cloud cost management across multi-cloud (AWS, Azure, GCP) and SaaS environments: analyze cost/usage trends, investigate spikes, implement FinOps tooling and tagging, forecast spend, collaborate with engineering on cost-efficient designs, track optimizations, and deliver month-end reporting and executive summaries.

The Senior Product Owner will manage the agile team, product backlog, client onboarding, and drive the ad platform roadmap while collaborating with engineering and commercial teams.