Collaborate with stakeholders to translate complex business processes into structured, executable instructions for AI agents. Design, implement, and maintain reusable Claude Code skills while providing technical leadership and defining platform-level standards.
Exadel
45 Remote Job Openings at Exadel
Perform both manual and automated testing while designing and maintaining automated test cases for regression and new features. Collaborate with cross-functional teams including developers and business analysts to ensure high product quality and smooth release cycles.
You will be responsible for hands-on development, automation, and improving the performance, scalability, and reliability of applications. Additionally, you will manage database optimization, containerized environments, and CI/CD pipelines within an AWS stack.
Analyze marketing workflows to design and integrate scalable AI-enabled business solutions and Generative AI tools into the MarTech ecosystem. Collaborate with cross-functional engineering and security teams to ensure AI services meet enterprise standards for scalability, governance, and performance.
Design and develop scalable backend applications and microservices using Java, Spring Boot, and Quarkus. Implement event-driven solutions on AWS and enhance observability practices within an Agile environment.
Design and develop scalable backend applications and microservices using Java, Spring Boot, and Quarkus. Implement event-driven solutions on AWS and enhance observability practices within a financial services context.
Collaborate with product management to review requirements and author technical designs and architectures. Contribute to the full SDLC, including code reviews, performance validation, and the improvement of CI/CD frameworks.
Assess and document the current Martech ecosystem to identify redundancies and design a simplified, scalable target-state architecture. Collaborate with cross-functional stakeholders to translate business requirements into practical architecture decisions and implementation plans for AI-driven initiatives.
AI Software Engineer (Agentic Workflows, Production Systems)
Exadel
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Full Time
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a month ago
Exadel
Design and implement production-ready agentic AI workflows and RAG pipelines using multi-agent architectures. Develop scalable Python and Java services while integrating AI into CI/CD pipelines with robust monitoring and observability.
Lead the end-to-end delivery of enterprise SaaS upgrade projects, managing scope, budget, and quality objectives. Coordinate between technical teams and clients to ensure successful production deployments and project governance.
Build and maintain core platform components including SSO, networking, and CI/CD pipelines while managing AWS landing zones and container orchestration. Design platform 'golden paths' and provide self-service tools to enable fast, secure deployments for distributed teams.
Configure, deploy, and validate client environments for SaaS upgrade programs while troubleshooting technical issues across applications and databases. Collaborate with cross-functional teams to ensure successful project delivery and develop operational best practices.
Partner with clients to gather business requirements and translate them into functional specifications for Charles River IMS implementations. Configure compliance rules and security settings while supporting UAT and production readiness activities.
Assess and document the current Martech ecosystem to identify redundancies and design a simplified, scalable target-state architecture. Collaborate with cross-functional stakeholders to translate business requirements into practical architecture decisions and implementation plans.
Develop, configure, and support technical solutions for Charles River IMS upgrade and implementation projects. Design and maintain integrations using APIs, ETL tools, and messaging platforms while resolving complex technical issues across data layers.
Configure, deploy, and validate client environments for SaaS upgrade programs while troubleshooting technical issues across applications and databases. Collaborate with cross-functional teams to coordinate technical deliverables and develop operational best practices.
Design and maintain scalable ELT pipelines and modern data architectures using dbt and SQL. Collaborate with cross-functional teams to support data-driven applications and manage infrastructure as code via Terraform.
Design and maintain enterprise-grade Java applications and customize Murex components for Capital Markets platforms. Develop real-time and batch integrations while leveraging AI-assisted tools to optimize productivity and code quality.
Senior Full‑Stack Software Engineer (Java, Python, Node.js, React)
Exadel
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Full Time
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2 months ago
Exadel
Maintain and evolve core products using a full-stack tech stack while contributing to architectural decisions and technical improvements. Collaborate within an Agile team to deliver scalable, user-centric software solutions and modernize legacy systems.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets. Partner with product teams to develop reporting tools and maintain data lakes for ML engineering solutions.
Act as a liaison between front-office users and technical teams to gather and analyze business requirements for Murex modules. Support the implementation, configuration, and optimization of trading workflows and financial product structures.
Design and develop scalable backend applications and microservices using Java, Spring Boot, and Quarkus. Implement event-driven solutions on AWS and support integrations within the Nasdaq Calypso ecosystem.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.
The Lead Data Engineer will assess data sources and availability to determine the technical feasibility of AI, automation, and reporting use cases. They will identify integration requirements, manage implementation risks, and provide technical documentation and sizing for build activities.
Design and evolve cloud-native, service-oriented architectures on Microsoft Azure with a focus on AI integration and scalability. Provide technical leadership for legacy-to-microservices migration and champion AI-powered engineering productivity.
Design and evolve cloud-native, service-oriented architectures on Microsoft Azure, integrating AI and Generative AI capabilities. Provide technical leadership on cloud modernization, legacy migration, and the implementation of scalable architectural patterns.
Assess current data systems and fragmentation to define a target-state North Star data platform architecture. Recommend toolchains and integration patterns while supporting AI readiness and data governance principles.
The Lead Data Engineer will assess data sources, quality, and integration requirements to validate the technical feasibility of AI and reporting use cases. They will provide platform recommendations, identify implementation risks, and support technical documentation for final recommendations.
Assess current data systems and fragmentation to define a target-state North Star data platform architecture. Recommend toolchains and integration patterns while supporting AI readiness and data governance principles.
The Lead Data Engineer will assess data sources and availability to identify ingestion and integration requirements for AI and reporting use cases. They will validate technical feasibility, identify implementation risks, and provide technical documentation and sizing for build activities.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets. Partner with product teams to develop reporting tools and maintain data lakes for ML engineering solutions.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets for business strategy. Maintain data lakes and feature stores to support the ML Engineering team in developing subrogation solutions.
Lead the design, development, and maintenance of scalable Spark applications while enforcing coding standards and best practices. Provide technical leadership through mentoring, code reviews, and regular communication with the client.
Serve as a subject matter expert in commodities trading to support front-office workflows and operational processes. Collaborate with traders and technology teams to gather requirements, document functional specifications, and drive system enhancements.
Lead the design, development, and maintenance of scalable Spark applications while enforcing coding standards and best practices. Provide technical leadership through code reviews, mentoring, and regular communication with the client.
Design and evaluate A/B tests and define product KPIs to generate actionable insights from customer behavior data. Collaborate with cross-functional teams to build reporting solutions and support data-driven product strategy and roadmap development.
Senior Full-Stack Software Engineer (Python, Node.js/ React)
Exadel
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Full Time
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3 months ago
Exadel
Maintain and evolve core products using Python, Node.js, and React within a cross-functional Agile team. Contribute to architectural decisions, system modernization, and the delivery of scalable, user-centric software solutions.
Design and evaluate A/B tests and experimentation frameworks to generate actionable product insights. Build dashboards and reporting tools to support data-driven decision making and OKR tracking.
Serve as a subject matter expert in commodities trading to support front-office workflows and operational processes. Collaborate with trading desks and technology teams to gather requirements, document functional specifications, and drive system enhancements.
Develop and maintain core products using Python, TypeScript, and Java/Spring within a cross-functional Agile team. Contribute to architectural decisions, system modernization, and ensure high software quality through testing and code reviews.
Execute end-to-end greenfield Calypso implementations and configure systems for front, middle, and back-office operations. Design and develop custom interfaces, platform extensions, and manage data migration to ensure scalable financial platforms.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to deliver high-quality software solutions and maintain comprehensive technical documentation.
Design, develop, and maintain scalable Spark applications while enforcing coding standards and best practices. Collaborate with cross-functional teams to optimize data handling and ensure the reliability of AI-driven tools.
Design and develop internal tools, AI-powered workflows, and backend services to support sales enablement and business operations. Collaborate with data scientists to productionize prototypes and establish engineering best practices for the team.