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.
Exadel
71 Remote Job Openings at Exadel
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.
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.
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.
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.
Design and develop scalable Java backend services and integrations using APIs and event-driven architectures. Translate business requirements into technical designs while maintaining high-quality software throughout the full SDLC.
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.
Design and implement end-to-end document intelligence pipelines on AWS for classification and field extraction. Build scalable systems to process multi-document PDFs and establish quality metrics for extraction accuracy.
Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional agile teams to build new product features.
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.
Plan and define DevOps workflows, automate builds, and manage deployment services for highly available microservices. Maintain operational environments using infrastructure as code and monitor application performance to ensure security and scalability.
Design, develop, and maintain responsive web applications using Angular and React. Translate UX designs into reusable UI components and integrate them with RESTful APIs.
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.
The role involves designing and executing comprehensive test strategies for Fixed Income trading applications, covering the full trade lifecycle from order creation to settlement. You will collaborate with cross-functional teams to validate OMS/EMS integrations, data pipelines, and electronic trading platforms.
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.
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 optimize the Databricks environment to improve scalability, resilience, and operational efficiency. Design AI-ready capabilities and scalable platform patterns for data ingestion, transformation, and serving.
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, develop, and maintain Power BI report solutions and dashboards for mobile and desktop views. Ensure data accuracy through testing and continuously improve report performance and reliability.
Execute manual, ad-hoc, and exploratory tests to ensure the quality of web solutions for the auto insurance industry. Collaborate with developers and product owners to document defects and maintain testing environments.
Design and develop high-volume batch and streaming data ingestion pipelines across AWS and GCP platforms. Lead and mentor junior engineers while collaborating with cross-functional agile teams to build new product features.
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.
Plan and define DevOps workflows, manage release processes, and automate builds using CI/CD tools. Maintain and scale Kubernetes clusters and cloud infrastructure while ensuring security and high availability for microservices.
Analyze and document end-to-end payment processing workflows and business requirements for a leading financial services provider. Collaborate with cross-functional teams to support payment transformation programs and resolve operational issues within Capital Markets.
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.
Design, build, and operate reliable, scalable distributed systems while automating infrastructure and operational processes. Lead incident response, performance optimization, and the reduction of operational toil through automation.
Senior Full‑Stack Software Engineer (Java, Python, Node.js, React)
Exadel
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Full Time
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a month 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.
Administer the GitHub Enterprise environment and develop automations using GitHub Actions and the GitHub API. Implement CI/CD pipelines, repository governance standards, and integrate platform solutions with cloud environments.
Design, develop, and maintain scalable backend applications and event-driven architectures for a major Brazilian financial institution. Implement observability practices and optimize relational databases to ensure high availability and system reliability.
Design and evolve cloud-native architectures on Microsoft Azure, focusing on microservices, REST APIs, and event-driven patterns. Integrate AI and Generative AI capabilities into core products to drive automation and engineering productivity.
Design and evolve cloud-native architectures on Microsoft Azure, focusing on microservices and AI integration. Provide technical leadership for cloud modernization and the implementation of Generative AI capabilities into core products.
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, implement, and maintain scalable data pipelines and dimensional data models using Snowflake and Medallion architecture. Collaborate with teams to ensure reliable ETL processes and data integration workflows for analytics and reporting.
Design, implement, and maintain scalable data pipelines and dimensional data models using Snowflake and Medallion architecture. Collaborate with teams to ensure reliable ETL processes and data integration workflows for analytics and reporting.
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.
Provide basic technical support to customers and resolve reported incidents using common tools and approaches. Maintain system documentation, update inventories, and adhere to corporate security policies under direct supervision.
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.
Partner with cross-functional stakeholders to identify business challenges and deliver AI-driven agents and workflows. Design end-to-end intelligent systems for automation, analytics, and decision support to drive tangible business value.
Analyze multi-cloud and SaaS usage data to identify cost optimization opportunities and investigate spend variances. Collaborate with engineering teams to influence cost-efficient architectural decisions and maintain financial forecasts.
Analyze multi-cloud and SaaS usage data to identify cost optimization opportunities and investigate spend variances. Collaborate with engineering teams to influence cost-efficient architectural decisions and maintain spend forecasts.
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.
Develop and deliver industry-leading ML models for subrogation opportunity detection while mentoring junior engineers. Collaborate with business stakeholders and engineering teams to integrate models into production APIs and technical roadmaps.
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, develop, and maintain high-quality Android applications while driving technical architecture decisions. Collaborate with cross-functional teams to optimize performance and mentor other engineers to ensure high engineering quality.
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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2 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.
Design, develop, and maintain high-quality Android applications while driving technical architecture decisions. Collaborate with cross-functional teams to optimize performance and mentor other engineers to ensure high engineering quality.
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.
Design, develop, and maintain high-quality Android applications while collaborating with cross-functional teams. Drive technical architecture decisions and mentor other engineers to ensure high engineering quality.
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.
Develop back-end solutions using Java Quarkus within an agile software development framework. Maintain close communication with business areas and support the production environment for a major financial institution.
Design and implement end-to-end document intelligence pipelines on AWS while developing and optimizing ML models for field extraction. Own features from research through production deployment, including monitoring and establishing quality metrics.
