The Senior Business Analyst acts as a bridge between client business needs and technical engineering teams to ensure continuous value delivery. Responsibilities include facilitating stakeholder collaboration, documenting functional requirements, and managing the product backlog using agile methodologies.
The Data Developer will develop and maintain data transformations using SQL and dbt to ensure datasets are accurate and reliable. They will also investigate data quality issues and collaborate with stakeholders to support analytics and reporting needs.
The Data Developer will develop and maintain data transformations using SQL and dbt to ensure accurate, reliable datasets for analytics. They will also investigate data quality issues and collaborate with stakeholders to optimize data pipelines and models.
Design, develop, and maintain MuleSoft APIs and integration solutions to support enterprise banking applications. Collaborate with cross-functional teams to implement scalable integration flows, security standards, and API lifecycle management.
Design, develop, and maintain MuleSoft APIs and integration solutions to support enterprise banking applications and system interoperability. Collaborate with cross-functional teams to implement secure, scalable integrations while mentoring junior developers and supporting API lifecycle management.
You will own the end-to-end AWS enterprise architecture and lead the operational team in technical direction and hands-on development. Additionally, you will design and orchestrate AI agents to automate delivery and modernize legacy systems while maintaining client-facing architectural standards.
You will own the end-to-end AWS enterprise architecture, including multi-account governance, security posture, and hybrid connectivity. Additionally, you will lead the operational team, set technical direction, and actively build infrastructure using CDK and agentic tooling.
The Software Architect will spearhead the development of complex, scalable systems while ensuring technical integrity for mission-critical products. You will provide guidance on infrastructure standards and promote best practices in Node.js and Python development.
Develop, execute, and maintain test plans and cases to ensure high software quality. Collaborate with cross-functional teams to implement automated testing and CI/CD processes using Azure DevOps.
Design, develop, and maintain production-grade Generative AI and Agentic AI applications for enterprise clients. Implement RAG pipelines, observability tools, and automated evaluation frameworks to ensure reliable and scalable AI solutions.
The Senior DevOps Engineer will design, implement, and maintain CI/CD pipelines and infrastructure within a Microsoft Azure environment. They will also manage Kubernetes clusters, automate operational tasks, and collaborate with international teams to ensure system reliability and performance.
You will design and implement end-to-end technical solutions for a cloud enterprise platform using Python and React. Additionally, you will maintain system resilience, investigate production issues, and leverage AI tools to optimize development workflows.
Design, build, and maintain robust backend services using Java and Spring Boot while ensuring reliability through testing and troubleshooting. Collaborate with cross-functional teams to implement APIs and manage containerized deployments within a CI/CD environment.
Develop and maintain high-quality C# code within a complex microservices ecosystem for the food industry. Implement robust technical solutions, manage APIs, and ensure system resilience through comprehensive testing and CI/CD processes.
Design, develop, and maintain scalable, cloud-native microservices using Java and Python on Microsoft Azure. Leverage AI-powered tools to automate engineering workflows, improve code quality, and enhance developer productivity.
Design and define scalable, secure, and high-performance data architectures while providing technical leadership to engineering teams. Collaborate with stakeholders to implement AI-ready data solutions and establish architecture standards for modern data platforms.
The Software Architect will design and evolve software architectures for distributed systems and microservices while providing technical guidance to development squads. They will actively participate in the development cycle, mentor developers, and lead technical decisions regarding cloud infrastructure and DevOps practices.
Responsible for managing and scaling cloud infrastructure on AWS to ensure high availability and performance. You will implement and maintain CI/CD pipelines and automation processes to streamline software delivery.
The developer will design and maintain a knowledge graph schema to transform unstructured editorial content into structured data for AI recommendations. They will also build ingestion workflows and optimize graph queries to ensure high-performance retrieval for AI agents.
The developer will design and manage the graph data layer, including schema creation, entity ingestion, and probabilistic matching to support AI-powered recommendations. They will collaborate with machine learning and GenAI teams to optimize query performance and ensure data accuracy for real-time applications.
Develop and maintain full stack applications using Oracle backend technologies and modern frontend frameworks. Model and optimize Oracle relational databases while designing APIs for integration between legacy and modern systems.
You will develop and maintain full stack applications using Oracle backend technologies and modern frontend frameworks. Additionally, you will model and optimize Oracle databases while collaborating in agile teams to deliver scalable software solutions.
The Security Triage & Remediation Lead will own the triage and strategy function for a large enterprise vulnerability program, deciding on remediation priorities and sequencing. They will coordinate remediation efforts across teams, define playbooks, and upskill internal engineering teams on secure practices.
The Data Architect is responsible for designing, creating, and managing the organization's data architecture, including data models and integration standards. They ensure that data systems are scalable, secure, and aligned with business needs and industry best practices.
You will be responsible for researching, implementing, and validating security fixes within PHP codebases and AWS configurations. This role involves working directly with a client's engineering team to remediate vulnerabilities and improve overall system security.
You will architect and deploy scalable generative AI applications using foundation models and multi-agent systems. Additionally, you will collaborate with cross-functional teams to integrate AI solutions into enterprise environments while optimizing performance and quality.
Design, develop, and maintain scalable ETL/ELT pipelines and data solutions within Azure environments. Collaborate with international stakeholders to implement data quality, governance, and performance optimization initiatives.
Design, develop, and maintain production-grade Generative AI and Agentic AI applications for enterprise clients. Collaborate with cross-functional teams to implement scalable AI pipelines, observability tools, and secure execution environments.
The engineer will design and develop scalable, cloud-native enterprise microservices while leveraging AI tools to automate engineering workflows and improve productivity. They will also collaborate with cross-functional teams and mentor junior engineers to promote engineering excellence.
You will architect and deploy scalable generative AI systems, including RAG pipelines and multi-agent architectures using foundation models. Additionally, you will develop robust backend services, optimize prompt engineering, and collaborate with cross-functional teams to deliver production-ready AI solutions.
You will build, integrate, and ship AI-powered features while raising the team's delivery speed through AI-accelerated engineering practices. Additionally, you will design and document system components, workflows, and integration layers to ensure scalability and performance.
Design and document end-to-end enterprise-grade digital architectures ensuring scalability, performance, and maintainability. Lead technical guidance for the team while overseeing the implementation of AI-driven solutions and cloud-based infrastructure.
The Senior Data Analyst will perform exploratory data analysis to identify trends and develop analytical dashboards to support business decision-making. They will also ensure data integrity and collaborate with cross-functional teams to optimize data processes.
Design, develop, and maintain secure, scalable backend applications using .NET Core while integrating AI tools to enhance performance and efficiency. Contribute to architectural discussions, mentor developers, and advocate for secure coding practices across both frontend and backend systems.
The role focuses on end-to-end Power BI dashboard development while providing platform support and UX improvements. Additionally, the developer will act as a hands-on expert for AI solutions, including prompt engineering, model selection, and proof-of-concept development.
The Master Software Developer will design and implement scalable cloud-native solutions while providing technical leadership and mentorship to the development team. They will also be responsible for enforcing development standards, conducting code reviews, and evaluating new technologies to ensure project success.
The engineer will build modern, scalable software using AI-first development practices to improve engineering productivity and automate repetitive tasks. They will collaborate with cross-functional teams, mentor junior engineers, and participate in architecture and design sessions.
The engineer will build modern, scalable software while leveraging AI to automate engineering tasks and improve productivity. They will collaborate with cross-functional teams, participate in architectural design, and mentor junior engineers.
The role involves building modern, scalable software using AI-first development practices to improve engineering productivity. You will collaborate with cross-functional teams to design enterprise-grade microservices and mentor junior engineers.
The engineer will build modern, scalable software using AI-first development practices to improve engineering productivity. They will collaborate with cross-functional teams, mentor junior engineers, and participate in architecture and design sessions.
Design, develop, and maintain MuleSoft APIs and integration solutions to support enterprise banking applications. Collaborate with cross-functional teams to ensure scalable data exchange and perform troubleshooting for integration and production issues.
The Senior Data Business Analyst will gather and document source-to-target data mapping requirements while acting as a bridge between business stakeholders and engineering teams. They will also validate migrated data, investigate inconsistencies, and support data quality activities throughout the project lifecycle.
Design, develop, and maintain scalable, cloud-native applications and microservices using Java and Python. Implement AI-driven solutions to automate engineering workflows, including code generation, testing, and CI/CD pipelines.
Design, develop, and maintain production-grade Generative AI and Agentic AI applications for enterprise clients. Implement RAG pipelines, observability frameworks, and secure execution environments to ensure scalable and reliable AI solutions.
The role involves building scalable, AI-first software solutions while automating engineering tasks to improve productivity. You will collaborate with cross-functional teams, mentor junior engineers, and participate in architecture and design sessions.
You will design and build intelligent AI agents and advanced architectures to deliver scalable, production-ready solutions. The role involves leveraging Generative AI across the entire product development lifecycle, from initial requirements to continuous monitoring and optimization.
The Senior Data Developer will own and evolve data pipelines across the medallion architecture while providing technical leadership and platform expertise. They are responsible for designing dimensional models, troubleshooting production jobs, and collaborating with stakeholders to ensure scalable and high-quality data solutions.
The role involves owning and evolving data pipelines across the medallion architecture while providing technical leadership for the team. You will be responsible for designing dimensional models, troubleshooting production jobs, and collaborating with stakeholders to deliver scalable data solutions.
The Data Developer will design, build, and maintain robust ETL/ELT pipelines and modern data lake architectures using cloud-native AWS services. They will also collaborate with cross-functional teams to optimize data processing workflows and ensure data integrity and compliance.
The Data Developer will design, build, and maintain robust ETL/ELT pipelines and modern data lake architectures using cloud-native AWS services. They will also collaborate with cross-functional teams to ensure data integrity, optimize performance, and support data-driven decision-making.
Lead the design, deployment, and optimization of NVIDIA cuOpt-based routing solutions within Microsoft Azure environments. Collaborate with cross-functional teams to operationalize GPU-accelerated services while ensuring scalability and performance.
Lead the design, deployment, and optimization of NVIDIA cuOpt-based routing solutions within Microsoft Azure. Collaborate with cross-functional teams to operationalize GPU-accelerated services and ensure high-performance, scalable infrastructure.
The architect will design and govern the master data management strategy to establish a 'golden source of truth' across a multi-platform ecosystem. They will also lead data governance initiatives and collaborate with technical leadership to ensure scalable, resilient integration patterns.
The Senior Data MDM Architect will design and govern the master data strategy for a multi-platform ecosystem, ensuring a 'golden source of truth' for critical business entities. They will act as a strategic advisor to US-based leadership, overseeing the full data lifecycle from ingestion to reporting and integration.
You will design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data architectures to support global analytics initiatives. Additionally, you will collaborate with cross-functional teams to ensure data quality, security, and performance while implementing modern engineering best practices.
Develop and maintain clean, object-oriented PHP code using Drupal's Hook and Plugin APIs while implementing advanced caching and database optimization strategies. Manage asynchronous processing and architect custom solutions using Symfony components and Drupal's configuration management.
The Senior Data Developer will lead the development and optimization of data systems on Azure while resolving Level 3 incidents. They will also drive a 'Shift Left' mindset by establishing standards for runbook documentation and enhancing monitoring practices.
The developer will be responsible for maintaining an application until the end of 2026. They will work collaboratively within a development team to build and maintain scalable software solutions.
The Sales Engineer will drive business impact by leveraging AI deployment and tech-integrated solutions for large enterprises. They will collaborate across teams to accelerate innovation and execute technological transformation strategies.
Develop innovative full-stack solutions using .NET and Angular while integrating AI-driven development workflows. Create and orchestrate AI agents to automate tasks and accelerate the software development lifecycle.
Develop and maintain full-stack applications using .NET and Angular while integrating AI tools to accelerate the software development lifecycle. The role involves creating AI agents and workflows to automate tasks and ensure high-quality, maintainable code.
The role involves architecting high-performance data models in SAP HANA 2.0 and implementing robust ETL/ELT pipelines using SAP BODS. The developer will orchestrate the migration of enterprise data from S/4HANA to Google BigQuery for scalable analytics.
Develop web applications and custom libraries using Python and its ecosystem. Document and share technical information while following software development best practices.
Lead a multidisciplinary squad by orchestrating AI agents across the entire Software Development Life Cycle to ensure efficient delivery. Coordinate workflows, monitor AI output quality, and facilitate agile ceremonies to align human and AI collaboration.
Lead the definition, governance, and evolution of scalable software architectures for enterprise-level digital solutions. Collaborate with stakeholders to translate business requirements into technical roadmaps while mentoring architects and senior engineers.
Design and implement scalable generative AI systems and RAG pipelines to drive business value for clients. Balance time between active AI user support, troubleshooting, and the proactive development of AI agents and internal automation tools.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
Design, build, and maintain back-end services using C# and SQL Server while implementing SOAP and REST APIs. Collaborate with a multicultural team to ensure service reliability through testing and provide mentorship to junior developers.
Support and evolve applications developed in SQL Server and C# .NET while ensuring high performance and scalability. Collaborate with multidisciplinary teams to design and implement robust solutions and mentor junior developers.
Architect high-performance data models in SAP HANA 2.0 and implement robust ETL/ELT pipelines using SAP Data Services. Orchestrate the migration of enterprise data from S/4HANA to Google BigQuery for scalable real-time analytics.
Design, build, and maintain scalable data pipelines and lake architectures using platforms like Databricks and Snowflake. Ensure data quality, governance, and performance optimization while mentoring junior team members.
Design, build, and optimize scalable data pipelines and lake architectures using AWS-native services. Develop distributed data processing workflows and maintain robust ETL/ELT processes to support data-driven decision-making.
Design, build, and optimize scalable data pipelines and lake architectures using AWS-native services. Develop distributed data processing workflows and maintain robust ETL/ELT processes to enable data-driven decision-making.
Design and develop scalable full-stack web applications and microservices using React and Java Spring Boot. Collaborate with cross-functional teams to implement secure RESTful APIs and provide production support using monitoring tools.
Develop an enterprise-grade agentic AI platform for a media and broadcasting company using AWS Bedrock and serverless architecture. Implement intelligent automation, conversational AI interfaces, and hybrid knowledge base integrations to handle high-volume daily interactions.
The role involves owning the complete lifecycle of data products from ingestion and modeling to final delivery for AI and analytics environments. The developer acts as a bridge between business stakeholders and technology to translate complex requirements into scalable technical solutions.
The role involves owning the complete lifecycle of data products from ingestion and modeling to final delivery for AI and analytics environments. It requires translating complex business requirements into scalable technical solutions while ensuring data quality and integrity.
Lead the design and implementation of scalable, AWS-based cloud-native data platforms that support AI and ML workloads. Act as a strategic technical advisor to clients, bridging the gap between business objectives and complex architectural decisions.
Lead the design and implementation of scalable, AWS-based cloud-native data platforms that support AI and ML workloads. Act as a strategic technical advisor to clients, bridging the gap between business objectives and complex architectural decisions.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
Design, develop, and maintain integration solutions using Tibco and Workato to connect various applications and systems. Collaborate with stakeholders to translate business requirements into technical specifications and ensure seamless data flow.
Design and maintain scalable data pipelines on Azure to transform operational data into actionable intelligence. Develop analytical models and dashboards in Power BI and Tableau to support strategic decision-making.
Design and implement comprehensive digital analytics tagging strategies across web and mobile platforms to ensure data accuracy. Translate business objectives into actionable insights through the creation of dashboards, reports, and data-driven narratives.
Lead and support multiple Data Engineering teams to deliver scalable, high-quality data solutions and platforms. Drive technical excellence by establishing engineering best practices, mentoring engineers, and collaborating with clients to align solutions with business goals.
Design and optimize semantic data models and dashboards in Tableau to support enterprise reporting and self-service analytics. Lead the migration strategy from Looker to Databricks and Tableau while ensuring data governance and performance optimization.
Design and maintain scalable backend architectures using Python while integrating generative AI technologies into client products. Collaborate with stakeholders to gather requirements and ensure high code quality through best practices and documentation.
Lead marketing planning and execution for priority industry verticals in North America to drive qualified pipeline and revenue growth. Partner with sales and industry leadership to implement integrated demand generation and ABM programs across multiple channels.
Lead the design and delivery of scalable Generative AI solutions and AI agents to solve business problems. Define architecture standards, ensure AI security and governance, and provide technical mentorship to junior engineers.
Lead the technical vision and architecture for complex back-end software solutions using the .NET ecosystem. Mentor engineering teams and oversee API governance, system integration, and DevOps optimization.
Lead the technical architecture and development of .Net software solutions. Drive business impact through AI deployment and application modernization strategies.
Develop and maintain high-quality C# code and APIs within a microservices ecosystem for a large food market client. Responsibilities include implementing complex business logic, managing CI/CD processes, and mentoring junior developers.
Develop and maintain scalable data pipelines using Databricks and PySpark to support global financial closing and P&L processes. Collaborate with cross-functional teams to integrate new data sources and implement AI-driven automation into data workflows.
Lead the design and implementation of scalable back-end software solutions focused on system integration within retail environments. Collaborate with multicultural stakeholders to translate requirements into technical specifications and architectural documentation.
Lead the design and implementation of scalable back-end software solutions focused on system integration within retail environments. Collaborate with multicultural stakeholders to translate requirements into technical specifications and architectural documentation.
The Solution Architect will act as a bridge between business and technology, translating business needs into scalable and data-driven solutions. They will lead architectural discussions and define high-level technical direction for data solutions and system integrations.
Manage the complete data lifecycle, including the design of technical architecture, infrastructure, and ETL pipelines. Lead cross-functional teams of data scientists and engineers to deliver high-quality data products and AI-driven workflows.
Manage the complete data lifecycle, including ETL pipelines, infrastructure, and data enablement. Lead cross-functional teams of data scientists and engineers to deliver high-quality data products and roadmaps.
Design and maintain high-impact executive dashboards for senior leadership to transform financial indicators into actionable visual intelligence. Act as the primary link between the data layer and the board, ensuring data quality, performance, and scalability.
Design and build end-to-end data pipelines using Medallion Architecture to support AI-powered agronomic analysis. Architect data ingestion and transformation processes on AWS to create a reliable foundation for geospatial visualizations.
Design and build end-to-end data pipelines using Medallion Architecture to support AI-powered agronomic analysis. Architect data ingestion and transformation processes on AWS to create a reliable foundation for geospatial visualizations.
Lead the design and evolution of a lakehouse/data lake platform, focusing on integrating unstructured data and AI agents for the sales organization. Act as the primary technical point of contact for executive stakeholders while driving the GenAI and LLM roadmap.
Develop and orchestrate scalable data pipelines using AWS Glue, Spark, and Python to transform raw data into curated datasets. Collaborate with cross-functional teams to integrate AI capabilities and maintain data governance within a unified ecosystem.
Design and implement automated AWS data pipelines and infrastructure as code for an ML-based demand forecasting system. Manage ML model deployment patterns using SageMaker and establish architecture governance and monitoring.
Lead the integration of Salesforce Service Cloud and AWS Connect to build an omni-channel support ecosystem. Develop full-stack web applications and AI-driven automation to enhance agent experience and customer journeys.
Oversee a complex data and analytics portfolio across multiple teams, ensuring strategic alignment and value communication to executive leadership. Manage agile governance, backlog prioritization, and stakeholder relationships while providing people leadership and operational oversight.
The Squad Leader will lead a development team, ensuring collaborative work among developers from different vendors and facilitating Agile methodologies like Kanban/Scrum, including organizing releases and stand-ups. This role requires ensuring the timely delivery of high-quality software products while providing coaching and support to team members to achieve business value.
Responsibilities include collaborating with cross-functional teams to define software requirements, writing clean, efficient code following best practices, and ensuring software quality through unit and integration testing. The role also involves designing, developing, and maintaining RESTful APIs, working with SQL databases, and participating in code reviews.
The Senior Data Architect will lead the development of data systems using the latest technology, aiming to improve data reliability and streamline workflows. They will also mentor newer team members and collaborate with various teams to ensure effective data setup.
