Direct the end-to-end design strategy and govern unified design systems across web and native mobile platforms. Facilitate cross-functional alignment with client stakeholders and engineering teams to ensure high-quality delivery of user journeys.
Provide technical leadership to the data engineering team while defining and evolving the data architecture for a strategic supply chain project. Act as a bridge between business needs and technical implementation to ensure high-quality, scalable data solutions.
The Senior QA will design and execute test plans for web applications and APIs, including the orchestration of agentic workflows for testing. They will collaborate with cross-functional teams to identify defects, ensure high-quality software delivery, and implement accessibility best practices.
The Squad Leader will mentor and empower a cross-functional team to drive project delivery and foster a culture of collaboration. They are responsible for managing day-to-day activities, aligning with stakeholders, and overseeing sprint processes to ensure project success.
The Master .NET Specialist will design, build, and maintain complex back-end services while ensuring service reliability through testing and proactive troubleshooting. They will also provide technical guidance to the team, conduct code reviews, and contribute to CI/CD workflows to enhance development efficiency.
The Tech Lead will define the technical vision and architecture for back-end services while overseeing API governance and system reliability. They are also responsible for mentoring the engineering team and driving CI/CD strategy to ensure high-performance software delivery.
The Data Engineer Specialist will lead the end-to-end data chain, including ingestion, pipeline development, and the creation of certified datasets. They are also responsible for developing high-performance Power BI semantic models and ensuring robust data governance and system integration.
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.
You will design, develop, and deploy scalable Golang-based microservices and responsive frontend applications using React. Additionally, you will manage Azure DevOps pipelines and mentor junior developers to ensure successful project delivery.
Design and build RESTful APIs and services in .NET to integrate partner portals with internal loan systems. Collaborate with cross-functional teams to troubleshoot defects and ensure high-quality deployments using containerized environments.
Design, build, and maintain complex back-end services using C#, ADO.NET, and SQL Server while ensuring reliability through testing and monitoring. Collaborate with a multicultural team to implement and evolve SOAP and REST APIs while mentoring junior engineers.
The Tech Lead will define the technical vision and architecture for back-end services while overseeing API governance and system reliability. They will also mentor engineering teams and drive the optimization of CI/CD workflows to ensure high-performance software delivery.
The Senior PHP Developer will design and implement REST endpoints while refactoring legacy code to improve API capabilities and error monitoring. They will also collaborate with client teams to deliver incremental updates using agile methodologies and ensure zero disruption to existing functionality.
Design and implement scalable web applications while collaborating with cross-functional teams to ship new features. Manage infrastructure components including Cloudflare, Acquia Site Factory, Jenkins pipelines, and Azure DevOps.
Design, develop, and execute comprehensive test plans and automated scripts for web, mobile, and desktop applications. Collaborate with cross-functional teams to identify defects and ensure high-quality software delivery throughout the development lifecycle.
You will design and implement a two-tier optimization engine using heuristic algorithms and Mixed-Integer Programming to maximize audience impressions. You will collaborate with domain experts in an agile environment to translate business requirements into scalable mathematical solutions.
The Tech Lead will define the technical vision and architecture for back-end services while overseeing API governance and system reliability. They are also responsible for mentoring the engineering team and driving CI/CD optimization to ensure high-quality software delivery.
Design, develop, and execute comprehensive test plans and automated scripts for web, mobile, and desktop applications. Collaborate with cross-functional teams to identify defects and ensure high-quality software delivery throughout the development lifecycle.
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.
You will design and execute robust automated and manual testing strategies while bridging the gap between development and testing. You will also collaborate with cross-functional teams to ensure quality is embedded throughout the product lifecycle.
The developer will support and evolve applications using SQL Server and C# .NET while mentoring junior team members. They will also focus on system architecture, performance optimization, and ensuring high-quality user experiences across multidisciplinary teams.
You will be responsible for remediating security vulnerabilities within a PHP codebase and AWS environment by implementing fixes and validating closures. Additionally, you will drive remediation throughput and support client engineers in adopting secure coding practices.
The Squad Leader will manage a software development team within a global e-commerce platform, ensuring high-quality delivery through Agile methodologies. They will facilitate team collaboration, provide coaching, and work closely with stakeholders to manage dependencies and mitigate project risks.
Design and implement scalable web applications while collaborating with cross-functional teams to ship new features. Monitor application performance, manage CI/CD pipelines, and handle infrastructure tasks including Cloudflare, Jenkins, and Acquia configurations.
You will own the end-to-end architecture of distributed, cloud-native systems and translate complex business requirements into shippable technical plans. Additionally, you will raise the team's technical standards through code reviews, design critiques, and mentorship.
The Software/Integrations Architect will design microservices and serverless solutions while managing application migrations to cloud platforms. They are responsible for database design and ensuring robust integration services within the Azure ecosystem.
The Product Owner is responsible for the end-to-end delivery of data assets, ensuring they are secure, reliable, and available for business use cases. They lead technical build squads while maintaining compliance with data governance, security, and architecture standards.
Manage the end-to-end lifecycle of data products, from ideation and development to deployment and continuous optimization. Partner with cross-functional teams to translate business needs into actionable technical requirements and data-driven solutions.
Design and evolve scalable, high-quality digital products across Web and Mobile platforms. Lead technical teams and coordinate with other architects to ensure engineering productivity and scalability.
You will support the implementation and evolution of Data & AI Governance practices by performing data analysis and maintaining data catalogs. You will also collaborate with cross-functional teams to ensure data is well-organized, documented, and managed according to established standards.
The Data & AI Strategist will develop comprehensive data strategies, establish governance frameworks, and foster data-oriented cultures within client organizations. They will also oversee the execution of strategic plans and support the creation of tailored data solutions, including Data Platforms and AI models.
The Data & AI Strategist will develop comprehensive data strategies, establish governance frameworks, and foster data-oriented cultures within client organizations. They will also oversee the execution of data projects, manage client relationships, and support the creation of tailored data solutions including AI models and platforms.
The QA will validate security remediation fixes to ensure vulnerabilities are resolved without impacting system stability. They are responsible for designing regression tests, maintaining automated coverage, and providing evidence for risk closure programs.
You will design, develop, and maintain scalable data pipelines and infrastructure to support global data analytics and machine learning solutions. Additionally, you will collaborate with cross-functional teams to ensure data integrity and provide technical support for data-related issues.
Design, develop, and maintain scalable data pipelines and infrastructure to support data analytics and machine learning solutions. Collaborate with cross-functional teams to ensure data integrity, implement data governance, and provide technical support for data-related issues.
Define and communicate the long-term data architecture vision while leading the migration of data pipelines to Microsoft Fabric. Collaborate with leadership and development teams to design scalable, secure data systems and establish best practices for data management.
The Senior Data Architect will lead the migration of data pipelines to Microsoft Fabric and define the long-term data architecture strategy. They will also provide technical guidance to teams and ensure data systems are scalable, secure, and aligned with business goals.
The Senior Salesforce Marketing Cloud specialist will be responsible for designing and executing complex marketing automation strategies. They will manage customer journeys and optimize campaign performance within the Salesforce Marketing Cloud platform.
Design, build, and maintain back-end services using C#, ADO.NET, and SQL Server while ensuring service reliability through testing. Collaborate with a multicultural team to integrate systems and provide mentorship to junior developers.
Manage the tactical execution of a dedicated AI squad to ensure the timely delivery of functional agents and regulatory phase gates. Interface with domain squads to resolve blockers and oversee the transition of AI models from development to certification.
Design, develop, and integrate full-stack application components using React and Java. Collaborate with cross-functional teams to build scalable microservices while ensuring code quality, performance, and security.
You will develop and maintain responsive user interfaces using React while building scalable backend services with .NET 8 and C#. The role involves collaborating with cross-functional teams to implement business logic, write unit tests, and ensure high-quality code through CI/CD pipelines.
You will contribute to innovative projects by developing backend solutions with C# and .NET while integrating front-end React components. The role involves critical code review, applying SOLID principles, and leveraging AI tools to enhance software development processes.
You will own the end-to-end multi-account AWS network foundation, including Transit Gateway design, VPC architecture, and routing posture enforcement. Additionally, you will manage infrastructure as code using Terraform and ensure robust log delivery and governance across the cloud environment.
The Senior Data Developer will contribute to existing code repositories by maintaining and extending data pipelines, application interfaces, and machine learning models. They will collaborate within a cross-functional team to support digital supply chain analytics and ensure reliable data flow between enterprise systems.
The Senior Data Developer contributes to existing code repositories by maintaining and extending data pipelines, application interfaces, and machine learning models. They collaborate within a cross-functional team to ensure the success of projects related to digital supply chain analytics.
You will own the end-to-end quality strategy, including defining test plans, building automation, and investigating defect root causes. Additionally, you will leverage AI assistants and agentic workflows to enhance test coverage and mentor the testing team.
You will define design requirements and create UX deliverables such as wireframes, user flows, and interactive prototypes. Additionally, you will conduct user research and analyze data to provide actionable insights that improve digital product experiences.
You will own the end-to-end architecture of distributed, cloud-native systems and translate complex business requirements into shippable technical plans. Additionally, you will raise the team's technical standards through code reviews, design critiques, and active mentorship.
You will design, develop, and deploy scalable .NET-based microservices and responsive React frontend applications. Additionally, you will manage Azure DevOps pipelines and provide technical mentorship to junior developers.
Design, implement, and maintain high-performance backend services and cloud-native infrastructure on AWS. Provide technical leadership through code reviews, architecture decisions, and team mentoring.
The engineer will build modern, scalable software while leveraging AI to automate repetitive tasks and improve engineering productivity. They will collaborate with cross-functional teams to design enterprise-grade microservices and mentor junior staff.
Develop and maintain data pipelines for ingestion, transformation, and processing while optimizing data solutions using Python and SQL. Collaborate with cross-functional teams to monitor pipeline performance and ensure high data quality and reliability.
The developer will create new features using Apex and Flows while building efficient solutions to enhance the end-client experience. They will also collaborate with multicultural teams to modernize applications and integrate AI tools into the development workflow.
The analyst will facilitate the migration of the current CRM to Salesforce Service Cloud and define requirements for the Consumer Experience Operation. They will collaborate with global cross-functional teams to prioritize roadmaps and enhance customer interactions across multiple channels.
Develop, test, and implement software solutions using Python and Java while collaborating with cross-functional teams to deliver new features. Maintain application performance, conduct code reviews, and document processes to ensure high-quality software delivery.
Define and evolve the architecture for a suite of .NET Core services and web applications while ensuring scalability, security, and reliability. Lead modernization efforts and collaborate with stakeholders to translate business needs into maintainable, AI-integrated technical solutions.
Design, build, and maintain scalable data pipelines for efficient ingestion into a cloud-based data lake. Monitor system performance, troubleshoot production issues, and ensure data quality across the full lifecycle.
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.
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.
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.
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.
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 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.
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 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.
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.
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.
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 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.
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 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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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 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.
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.
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 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 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 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.
