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 integrate systems and mentor junior engineers on best practices.
You will design, develop, and execute automated test plans for web, mobile, and desktop applications to ensure high-quality software delivery. Additionally, you will collaborate with cross-functional teams to identify, document, and resolve defects throughout the software development lifecycle.
Lead the development of FullStack solutions using .NET and Angular while orchestrating AI tools to optimize software development workflows. Ensure code quality through rigorous validation, automated testing, and the application of robust architectural design patterns.
You will lead the design of user-centric digital products by collaborating with cross-functional teams to ensure aesthetic and functional excellence. Additionally, you will mentor junior designers and employ modern research strategies to inform design decisions and mitigate product development risks.
The Senior Data Developer will design, build, and maintain relational and lakehouse data pipelines while ensuring data quality and governance. They are responsible for technical ownership of the data layer, including performance tuning, schema design, and mentoring team members.
The Senior Data Developer will design, build, and maintain relational and lakehouse data pipelines to ensure data accuracy and performance for analytics and applications. They will also manage data governance, mentor team members, and collaborate with architects to implement high-quality data solutions.
You will own the end-to-end delivery of Generative AI and agentic solutions, from technical discovery through production. This includes designing intelligent workflows, establishing observability practices, and collaborating with cross-functional teams to ensure scalable and reliable AI implementations.
Develop and evolve Generative AI and agentic applications, including RAG-based solutions and enterprise knowledge retrieval components. Collaborate with cross-functional teams to design, test, and maintain AI solutions from experimentation through to production.
Develop and maintain scalable microservices using C# and .NET Core while implementing robust API designs. Ensure system quality through rigorous testing, CI/CD pipeline management, and adherence to Clean Architecture principles.
The GRC Security Specialist will manage enterprise cybersecurity risk processes and ensure adherence to regulatory standards like HITRUST and HIPAA. They will also develop cybersecurity policies, conduct third-party risk assessments, and support internal and external audits.
The specialist will manage enterprise cybersecurity risk, maintain the risk registry, and ensure adherence to regulatory standards like HITRUST and HIPAA. They will also develop cybersecurity policies and conduct third-party risk assessments to identify and mitigate vulnerabilities.
Architect and build software solutions using modern stacks like Angular, Node.js, and Spring Boot within an AWS cloud environment. Orchestrate AI agents and tools to accelerate development while maintaining responsibility for the application throughout its production lifecycle.
The AI Solutions Developer will design, build, and deploy AI-enabled business applications to support supply chain and operational processes. They will also manage database development, data integration, and the operationalization of machine learning models within containerized environments.
Design, develop, and integrate fullstack application components, microservices, and RESTful APIs. Collaborate with cross-functional teams including UX/UI, product, and QA in an Agile environment.
The AI Orchestrator will lead and coordinate software engineering initiatives by translating project missions into actionable delivery plans. They act as the primary interface between technical teams and business stakeholders to ensure alignment, manage risks, and maintain project momentum.
The Data Product Manager will lead the full lifecycle of data products, from ideation through deployment and optimization. They are responsible for defining roadmaps, managing data architecture, and leading cross-functional teams to deliver high-quality, data-driven solutions.
The Data Product Manager will lead the full lifecycle of data products from ideation through deployment and optimization. They are responsible for defining roadmaps, managing data architecture, and leading cross-functional teams to deliver high-quality data solutions.
Define and communicate the long-term data architecture vision while leading technology selection and governance standards. Provide advanced technical guidance to teams and ensure data systems comply with security regulations.
Lead complex legacy system modernization initiatives by defining transition architectures and driving technical execution. Utilize AI-assisted development workflows to analyze codebases, generate documentation, and guide engineering teams through the modernization process.
Define and communicate the long-term data architecture vision while establishing best practices for data management and governance. Provide advanced technical guidance to teams and collaborate with stakeholders to ensure data solutions align with business strategy.
The Senior QA Engineer will lead quality assurance processes within an Agile environment and coach developers to ensure high-quality delivery. They will act as a central reference for system project decision-making and implement automated testing strategies.
You will work hands-on with complex Java applications to modernize legacy systems and improve codebases using AI-assisted development tools. The role involves collaborating with engineering teams to implement structured AI workflows, including reverse engineering and automated test generation.
The Partner Account Manager will cultivate and strengthen relationships with existing partners to drive business growth and revenue. They will also assist project teams in engaging with partners and coordinate joint marketing campaigns and incentive funding programs.
Lead requirements analysis and design for end-to-end case management solutions in Microsoft Dynamics 365 Customer Service, including workflows, routing, queues, SLAs, entitlements, and knowledge integration. Collaborate with clients and cross-functional teams, document processes and specifications, and facilitate workshops and Agile ceremonies to ensure solutions meet business and compliance needs.
Lead requirements gathering and design sessions to implement end-to-end case management solutions within Microsoft Dynamics 365. Collaborate with cross-functional teams to ensure configurations align with business objectives, compliance standards, and best practices.
You will lead the development of Generative AI solutions, taking LLM-based use cases from proof-of-concept to production. Responsibilities include building RAG systems, document intelligence tools, and conversational AI applications within an enterprise environment.
Define and promote quality assurance practices, develop automated tests, write Gherkin scenarios, and perform manual testing when needed. Manage test data and quality metrics, support product-owner acceptance testing, coordinate integration testing across squads, and track bugs with root-cause analysis and prevention plans.
Design, implement, and optimize scalable platform infrastructure, CI/CD pipelines, and Infrastructure as Code, while evaluating new tools through proofs of concept. Improve system reliability, performance, security, and availability; troubleshoot complex issues and mentor team members in DevOps practices.
Build high-quality, scalable, and maintainable frontend features using Angular, contributing across the full stack as needed. Collaborate closely with product, design, and engineering teams.
Identify opportunities to reduce operational costs and develop, implement, and validate optimization and machine learning models for supply chain planning, distribution routes, and inventory management. Explore operational data, communicate findings through visualizations and data storytelling, and generate measurable business impact through experimentation and quantitative analysis.
Design, build, and maintain scalable Java backend systems, microservices, and RESTful APIs, including data access and messaging integrations. Test and secure application functionality, support CI/CD and monitoring, and collaborate with cross-functional teams to deliver reliable software.
Support the operation, monitoring, and maintenance of database environments, including routine backup, restoration, and integrity-check procedures. Assist with SQL queries, user permissions, and troubleshooting basic access or performance issues while collaborating with the technical team.
Lead the architecture, administration, security, and optimization of database environments, ensuring high availability, resilience, and strong performance. Serve as a technical reference for development, infrastructure, and engineering teams, and support critical database environments through automation, monitoring, and operational troubleshooting.
The Data Product Manager will own and rationalize the reporting backlog for a large-scale Finance data platform modernization project. They will act as the primary bridge between client Finance stakeholders and the development squad to ensure requirements are met and delivery gates are achieved.
The role involves designing and implementing sensitive-data classification, dynamic masking, and access-tiering rules for a large-scale financial data platform. You will collaborate with security and compliance stakeholders to ensure governance policies are auditable and meet regulatory requirements before implementation.
The Principal Data Architect will own the end-to-end target architecture for a large-scale data platform modernization, migrating legacy finance reporting to a governed cloud environment. This hands-on role involves designing data layers, leading technical discovery with client teams, and working directly within the codebase alongside developers.
The Data Product Manager will own and rationalize the reporting backlog for a large-scale Finance data platform modernization project. They will act as the primary bridge between Finance stakeholders and the development team to ensure requirements are clear and delivery gates are met.
The Principal Data Architect will own the end-to-end target architecture for a large-scale data platform modernization, including CDC replication and cloud data warehouse design. They will work hands-on with the development team to build solutions, lead technical discovery with clients, and establish quality gates for architecture decisions.
The role involves leading sensitive-data classification, designing dynamic masking policies, and defining access-tiering models for a large-scale financial data platform. You will partner with security and compliance stakeholders to ensure governance artifacts are implemented and approved before the build phase.
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 and ensure high-quality, maintainable code through rigorous testing and code reviews.
Design, develop, and maintain robust data pipelines using Databricks, Apache Spark, SQL, and Python or Scala. Collaborate with cross-functional teams to process large datasets while ensuring data quality, governance, and performance optimization.
You will lead product design initiatives to transform complex lending workflows into intuitive digital experiences. This involves collaborating with cross-functional teams to define UX strategy and developing scalable design foundations.
You will lead product design initiatives to transform complex lending workflows and loan origination processes. This involves cross-functional collaboration to define UX strategy and creating scalable design foundations for diverse customer needs.
The designer will create high-quality visual materials including presentations, videos, and marketing assets while collaborating with UX and Frontend teams. They are responsible for conceptualizing designs that align with company branding and managing multiple projects to meet deadlines.
The QA Automation Tester will develop test plans and perform manual or automated tests to identify and document product defects. They will collaborate closely with developers to resolve issues and ensure that all customer requirements and quality standards are met.
Develop and maintain full-stack applications using Java and Angular, applying distributed architecture, microservices, and microfrontend approaches. Collaborate with the team and clients to deliver solutions, and contribute to testing, automation, and CI/CD processes.
Develop and maintain data pipelines, integrations, and processing workflows, while investigating production incidents and failures. Improve observability, data quality, performance, cost efficiency, and platform architecture, and document solutions while sharing knowledge with the team.
Build reliable, reusable analytical models, datasets, metrics, and consumption structures, ensuring consistency across data sources, indicators, and dashboards. Partner with Data Engineering, Data Science, Product, and Analytics teams to improve data quality and documentation, support BI consumers, and reduce ad hoc or consumer-specific solutions.
Develop and maintain data pipelines, integrations, and transformations, while supporting monitoring, data quality controls, and troubleshooting of ingestion issues. Document pipelines and components, follow architecture and technical lead standards, and collaborate with senior team members to improve and scale the data platform.
Develop applications and automations for content curation, publishing, and management, and build integrations across platforms, APIs, and corporate services. Improve operational workflows and tools, implement testing and observability, contribute to AI solutions, and support controlled rollouts and continuous platform improvement.
Define and evolve architectures for AI, data, and automation solutions, including standards for integrations, observability, technical governance, and scalability. Lead initiatives in information quality, intelligent agents, knowledge-base development, and continuous evaluation of AI models and applications, while serving as a technical reference across teams and supporting business-focused data products and AI applications.
Develop and maintain Java and Angular applications, APIs, microservices, and BFF solutions, with attention to quality, performance, scalability, and data-layer improvements. Collaborate with product, design, development, and quality teams; resolve problems, apply development best practices, use AI tools throughout the development cycle, and contribute to the team's technical growth in an agile environment.
Perform thorough QA and UAT on web pages, components, and releases to validate functionality, accessibility, and cross-browser behavior. Support sprint activities, manage backlog updates, and coordinate releases to ensure quality standards are met.
Develop and maintain full-stack applications using Java, Spring, and Angular, working with APIs, databases, distributed architectures, microservices, and microfrontends. Collaborate with the team and clients, contribute to testing and automation, and work within Scrum and CI/CD processes.
You will be responsible for mapping, diagnosing, and modernizing legacy systems into modern microservices architectures. This role involves leveraging AI tools to analyze, document, and implement efficient development patterns.
The Master DataOps Developer will own the operational backbone, including environment provisioning, CI/CD pipelines, and monitoring for a large-scale finance data platform. They are responsible for implementing cost governance, maintaining delivery artifacts, and facilitating knowledge transfer to the client's operations team.
The Data Developer will design, build, and maintain scalable data pipelines and architectures to support business intelligence and analytics initiatives. They will also ensure data quality, implement security best practices, and collaborate with cross-functional teams to deliver high-performance data solutions.
The role involves defining and executing data quality checks and reconciliation logic to ensure curated data aligns with Finance benchmarks. Additionally, the analyst will validate migrated reports and dashboards while maintaining quality status visibility for stakeholders.
The Senior Data Engineer will build transformation logic for a large-scale finance data platform, converting raw data into governed business measures. They will also implement data quality checks and support downstream consumers by enabling access to curated data objects.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently. Collaborate with cross-functional teams to ensure data integrity, accessibility, and usability while implementing data governance practices.
Design and develop scalable data pipelines and infrastructure to process large volumes of data efficiently. Collaborate with cross-functional teams to implement data quality measures and maintain robust data lake and warehouse solutions.
The Data & Analytics Manager will oversee the entire lifecycle of data products, from ideation and development to deployment and optimization. They will lead cross-functional teams and provide data analysis to support business growth through effective visualization and prioritization.
The Data Product Manager will lead cross-functional teams to develop and deliver high-quality data products throughout their entire lifecycle. They are responsible for analyzing data to support business growth, prioritizing tasks, and aligning data initiatives with stakeholder needs.
Lead the technical direction and architecture of a data modernization engagement, guiding a multidisciplinary team through the design, development, and deployment of data products. Align technical solutions with client business needs, collaborate across functions and markets, and contribute to data assessments and CI&T's broader data practice.
Lead the technical direction of a data modernization engagement, guiding a multidisciplinary team in designing, building, and deploying secure, high-performing data products. Align technical solutions with client business needs, collaborate across functions and markets, and contribute to data assessments and the broader data practice.
The Mid-level Data Developer will build and maintain data pipelines and ETL/ELT processes to support business intelligence needs. They will also collaborate with senior engineers and stakeholders to implement data architectures and ensure data quality and security.
The Data Developer will design, build, and maintain scalable data infrastructure and ETL/ELT pipelines to support business intelligence needs. They will also implement data architectures, ensure data quality and governance, and collaborate with cross-functional teams to deliver high-performance data solutions.
The Junior Data Developer will assist in building and maintaining data pipelines and ETL/ELT processes under the guidance of senior engineers. They will also support data infrastructure implementation, monitor data quality, and collaborate with cross-functional teams to deliver technical solutions.
The Master DataOps Developer will own the operational backbone, including environment provisioning, CI/CD pipelines, and monitoring for a large-scale finance data platform. They are responsible for implementing cost governance, maintaining architecture records, and facilitating knowledge transfer to the client's operations team.
You will build transformation logic for a large-scale finance data platform, converting raw data into governed business measures. Additionally, you will implement data quality checks and support downstream consumers by providing approved curated data objects.
Define and execute data quality checks and reconciliation logic against curated finance data to ensure accuracy against benchmarks. Validate migrated reports and dashboards for parity with legacy systems while maintaining quality documentation for stakeholders.
The Data & Analytics Manager will lead cross-functional teams to develop and deliver high-quality data products while overseeing the entire lifecycle from ideation to deployment. They are responsible for translating behavior metrics into business insights and driving data-driven strategies for major e-commerce clients.
The Data Tech Lead will oversee multiple data engineering teams to deliver scalable, high-quality data solutions while fostering technical excellence and innovation. They will act as a technical advisor to clients and stakeholders, ensuring that all data platforms align with business goals and engineering best practices.
The Data & Analytics Manager will lead cross-functional teams to develop and deliver high-quality data products while overseeing the entire lifecycle from ideation to deployment. They are responsible for translating behavior metrics into business insights and driving data-driven initiatives for international customers.
The Software Architect will design and evolve scalable, high-performance software solutions while defining technical standards and architectural patterns. They will also mentor development teams and ensure best practices are followed across all .NET-based projects.
The Data Developer will build and maintain Azure Data Factory pipelines and ingestion flows for various source systems under the direction of the Data Engineer Lead. They are responsible for ensuring pipeline reliability, managing source system integrations, and supporting schema definition and validation.
The Data Developer will build and maintain Azure Data Factory pipelines and ingestion flows for various source systems under the direction of the Data Engineer Lead. They are responsible for ensuring pipeline reliability, SLA compliance, and managing source system integration points.
The AI Orchestrator coordinates workflows between humans and AI agents to optimize the SDLC and ensure process compliance. They lead the squad, define clear goals, and facilitate communication with the Product Owner to remove productivity blockers.
Design, develop, and maintain scalable data pipelines using Databricks and PySpark. Collaborate with international teams to integrate data from various sources and ensure reliable data processing workflows.
Develop and evolve backend and frontend applications using Java and React within an AI-driven development environment. Orchestrate AI agents throughout the SDLC to ensure high-quality, secure, and scalable software solutions.
You will assist in the design, development, and implementation of scalable Cloud-Native software solutions using .NET and React. Additionally, you will collaborate with senior developers to ensure the successful delivery of microservices and responsive frontend applications.
Design and architect scalable, production-ready AI solutions including intelligent agents and RAG systems. Lead technical initiatives and establish LLMOps practices to ensure performance, reliability, and business impact.
Lead the technical implementation of Salesforce solutions, including configuration, custom development, and data migration. Manage release cycles, conduct code reviews, and provide technical guidance to global development teams.
You will lead the design, development, and delivery of Gen AI and Machine Learning solutions while collaborating with cross-functional teams. Your role involves defining scalable architectures, capturing design decisions in diagrams, and mentoring team members through guidance and knowledge sharing.
Lead the development, industrialization, and lifecycle governance of enterprise-scale machine learning products. Design and maintain robust MLOps pipelines, feature stores, and CI/CD processes to ensure model observability and reproducibility.
The Senior Software Developer will act as a technical reference for client teams, guiding architecture decisions and the evolution of the SDLC. They will identify and implement AI-driven solutions to enhance development productivity, quality, and efficiency.
Act as a process leader and Agile Coach for a North American media client, facilitating ceremonies and teaching best practices. Lead training sessions on agile methodologies, metrics, and AI integration for the client's team.
Develop and maintain full-stack applications with a primary focus on React frontend development and .NET/C# backend services. Implement automated tests, manage event-driven architectures, and contribute to CI/CD pipelines using Azure DevOps.
Design, develop, and implement complex Drupal-based web solutions while leading the architecture of new features. Collaborate with international clients and project teams to translate requirements into technical solutions while mentoring junior developers.
Design, develop, and implement complex Drupal-based web solutions while leading the architecture of new features. Collaborate with international clients and project managers to translate requirements into technical solutions while mentoring junior developers.
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 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, 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 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.
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.
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.
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.
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.
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 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.
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 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 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.
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. 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, 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.
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.
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 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.
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 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.
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.
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.
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 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 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.
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, 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.
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.
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.
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 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.
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.
