OTM Project Manager
Lead end-to-end delivery of Oracle Transportation Management (OTM) projects and strategic transformation initiatives. Manage project governance, budgets, and cross-functional teams across multiple geographies.
Lead end-to-end delivery of Oracle Transportation Management (OTM) projects and strategic transformation initiatives. Manage project governance, budgets, and cross-functional teams across multiple geographies.
Design, develop, and optimize applications using Golang and .NET technologies while building scalable cloud-based solutions on AWS. Collaborate with cross-functional teams to deliver high-quality software and provide technical guidance to team members.
Design, develop, and optimize applications using Golang and .NET technologies while building scalable cloud-based solutions on AWS. Collaborate with cross-functional teams to ensure high-quality software delivery and provide technical guidance to team members.
Lead the migration of dashboards and reports from ThoughtSpot to Power BI while ensuring optimized performance and enterprise data standards. Collaborate with business teams to gather requirements and drive analytics maturity through user training and effective data storytelling.
Design, build, and maintain scalable data pipelines and architectures to support business analytics and reporting. Collaborate with cross-functional teams to enable advanced analytics, machine learning, and AI capabilities within the organization.
Design, develop, and maintain full stack applications using .NET technologies and modern frontend frameworks. Collaborate with cross-functional teams in Agile environments to build scalable and high-performing software solutions.
The Senior Scrum Master will manage the end-to-end delivery of complex system solutions while facilitating Scrum ceremonies and supporting sprint goals. They are also responsible for managing stakeholder relationships and coaching the Scrum team to foster collaboration and continuous improvement.
The Analytics Engineer will modernize the enterprise reporting ecosystem by migrating legacy dashboards and establishing a scalable analytics foundation. This role involves collaborating with cross-functional teams to design reusable metrics, semantic models, and AI-ready analytical datasets.
Develop scalable, responsive, and accessible front-end solutions using React, TypeScript, and JavaScript. Integrate internal and external APIs to create dynamic, logic-driven email experiences and maintain modular design systems.
Design, develop, and maintain scalable backend applications and services using Node.js while managing Elasticsearch solutions and REST APIs. Monitor system health and performance using observability tools and collaborate with cross-functional teams to deliver high-quality software.
Design, develop, and maintain high-quality native Android applications using Kotlin while collaborating with cross-functional teams. Contribute to CI/CD processes, automated testing, and project management within Agile frameworks.
Design, develop, and maintain scalable web applications and backend services using C#, Angular, and SQL Server. Collaborate with cross-functional teams to deliver enterprise-grade solutions while leveraging AI-powered tools to enhance productivity.
The Lead Salesforce Engineer will perform hands-on development, configuration, and administration of the Salesforce platform. They will also collaborate with cross-functional teams to translate business requirements into scalable, well-architected solutions.
Develop and maintain C# services, APIs, and cloud-based enterprise integrations using Microsoft Azure. Implement AI solutions, Copilot Studio agents, and automation workflows to support business processes.
Lead and support enterprise data platform migration initiatives while developing and optimizing DBT models within Snowflake. Design scalable data solutions and establish data quality, governance, and operational excellence standards.
The role involves improving automation for secret rotation and managing cloud resources within AWS environments. You will also analyze logs using Kibana and utilize AI-powered tools to enhance platform reliability and engineering productivity.
Design, build, and maintain DBT models on Azure Databricks using Medallion Architecture and Unity Catalog. Implement AI-assisted development strategies to enhance code quality, productivity, and data governance standards.
Design, develop, and maintain high-quality iOS applications while leading feature development from design to delivery. Collaborate with cross-functional teams to integrate backend services and AI/ML-powered solutions using modern architectural patterns.
The Senior Data Engineer will design, develop, and maintain complex data ingestion pipelines and Databricks Lakehouse architectures. They will also perform database performance tuning, query optimization, and collaborate with engineering teams on data access and migration initiatives.
Design, build, and operate scalable cloud platforms while ensuring the reliability and performance of distributed production systems. Manage containerized environments, implement observability practices, and participate in on-call rotations to resolve production incidents.
Lead and mentor a team of data engineers while owning the end-to-end architecture and design of the data platform. Drive technical excellence, oversee data migration strategies, and ensure the implementation of scalable data pipelines and enterprise solutions.
Lead the design and implementation of AI, automation, and enterprise application solutions within finance and treasury technology environments. Drive end-to-end automation initiatives and AI-enabled workflows to improve operational efficiency and decision-making.
The role involves owning the end-to-end delivery of data pipelines and products from design through deployment and production support. You will also be responsible for executing large-scale data migrations and managing infrastructure-as-code solutions.
Design and implement end-to-end integrations between internal platforms and third-party systems using various synchronization strategies. Manage API contracts, data quality, and system observability to ensure scalable and resilient integration solutions.
The role involves administering and maintaining Kubernetes environments while implementing GitOps workflows using ArgoCD. Additionally, the engineer will develop and troubleshoot CI/CD pipelines and collaborate with technical teams to resolve operational issues.
Develop and customize scalable Salesforce solutions using Apex, Flows, and Lightning Web Components. Design and implement integrations with external systems while applying best practices for architecture and security.
The Data Analyst will identify business performance gaps and translate them into analytical approaches to support strategic KPIs. They will design and maintain dashboards while collaborating with stakeholders to provide actionable insights for senior leadership.
The engineer will build and maintain features across the full stack, including React web and mobile applications and Python/Django backends. They will also collaborate with product teams to design technical plans, mentor other engineers, and participate in on-call rotations.
Develop, maintain, and optimize scalable web applications using the .NET ecosystem and Angular. Collaborate in a Shift Left environment to resolve security issues and improve software quality using AI-powered tools.
Lead end-to-end delivery of technology and software projects while ensuring alignment with scope, budget, and business objectives. Manage cross-functional teams, project roadmaps, and stakeholder communication throughout the project lifecycle.
The engineer will build and enhance AI assistant capabilities, including chatbots and complex multi-agent workflows using LLMs and RAG pipelines. They will also integrate enterprise APIs and implement observability frameworks to monitor and improve AI application performance.
Develop high-performance big-data applications and cloud-native data pipelines using Scala, Databricks, and Azure services. Build and maintain full-stack applications and microservices while driving AI-assisted engineering practices.
The role involves analyzing requirements, creating test plans, and executing functional and exploratory tests. You will also automate tests, collaborate with the development team to drive product quality, and manage defect tracking.
Design user-centered product experiences for complex digital platforms using Figma and AI prototyping tools. Collaborate with cross-functional teams to translate complex requirements into intuitive, high-quality design solutions.
Design, develop, and maintain business applications using the Microsoft Power Platform. Build and customize solutions while integrating APIs and backend services using .NET and C#.
Develop and maintain web applications using .NET and Angular while designing and integrating REST APIs. Collaborate with cross-functional teams using Agile methodologies to ensure high-quality performance of SQL databases.
Provision and maintain cloud and on-premise infrastructure while managing CI/CD pipelines and infrastructure as code. Support application incident resolution and promote DevSecOps practices and metrics within agile teams.
The role acts as a bridge between business stakeholders and technical teams to define data products and analytics solutions. Responsibilities include performing data profiling, leading conceptual data modelling, and supporting the migration of legacy reports to modern BI dashboards.
Build, deploy, and maintain production-grade machine learning models and pipelines using Python and cloud platforms. Monitor model performance and collaborate with cross-functional teams to deliver scalable, data-driven solutions.
Design and maintain scalable build systems and CI/CD pipelines while automating infrastructure provisioning using IaC tools. Collaborate with development teams to ensure system health, security, and performance through monitoring and container orchestration.
The Software Development Manager will lead multi-disciplinary teams, providing technical guidance and architectural oversight to ensure high-quality software delivery. They are responsible for managing project lifecycles, stakeholder relationships, and the professional development of team members.
The engineer will own and evolve build systems across platforms while maintaining CI/CD pipelines and automation scripts. They will also manage product-specific packages and perform security scans to ensure dependency integrity.
Design and guide enterprise-scale solutions using software engineering, AI, and cloud technologies while providing technical leadership across the development lifecycle. Oversee end-to-end machine learning pipelines and collaborate with teams to build scalable, secure, and cloud-native applications.
Design and maintain AI-powered applications and scalable cloud-native data platforms using Python, TypeScript, and AWS. Build and optimize end-to-end data pipelines while developing production-ready LLM-powered solutions and agentic AI systems.
The Tech Lead will mentor development teams, drive innovation, and ensure the delivery of high-quality, scalable cloud solutions. They will also participate in the full development lifecycle, conduct code reviews, and act as a trusted technical advisor to customers.
The Analytics Platform Engineer will own and support the operational layer of the analytics platform, ensuring the reliability and performance of data pipelines. Responsibilities include managing on-call activities, optimizing Apache Airflow DAGs, and maintaining dbt CI/CD processes.
The developer will design and implement new features within a Scrum team while maintaining high code quality through regular code reviews. They are also responsible for analyzing requirements and staying updated on emerging technologies to address complex business logic.
Design, build, and maintain software systems while managing the full development lifecycle from requirements analysis to deployment. Collaborate with cross-functional teams to provide application support, perform testing, and ensure code quality through reviews and standards compliance.
The engineer will design, implement, and consume RESTful web APIs while creating elegant user interface solutions. They are also responsible for coding, debugging, and supporting cloud-based applications throughout all phases of the software development lifecycle.
The role involves managing AWS infrastructure, maintaining CI/CD pipelines, and ensuring system reliability through monitoring and observability. You will also participate in on-call rotations, perform root cause analysis, and collaborate with engineering teams to improve operational readiness.
The Lead Salesforce Engineer will perform hands-on configuration and development using Apex and Lightning while managing system governance and security. They will also partner with cross-functional teams to optimize end-user experiences and maintain Salesforce integrations.
Design and lead the architecture of secure, scalable, cloud-native SaaS applications using .NET, Angular, and AWS. Mentor engineering teams and champion AI-first software development to improve productivity and software quality.
The developer will build and refactor complex backend domain logic for leave and absence eligibility engines. They will be responsible for owning features end-to-end and implementing automated testing and observability instrumentation.
Own the end-to-end delivery of scalable data pipelines and products, focusing on migration from Snowflake to Azure. Ensure data quality, observability, and governance while providing technical leadership and mentorship to junior engineers.
Design and deliver scalable Salesforce Service Cloud and Chat solutions, including omni-channel and case management. Customize and integrate the platform using Apex and LWC while guiding stakeholders on best practices and managing DevOps pipelines via Copado.
Lead and mentor a team of data engineers while owning the end-to-end architecture and design of the data platform. Drive the migration strategy from Snowflake/SSIS to Azure Databricks and DBT, ensuring scalability and reliability.
Design and maintain secure, scalable AI-powered backend platforms on AWS. Mentor engineers and drive technical architecture discussions to ensure engineering excellence.
Design, develop, and maintain high-quality iOS applications using Swift and modern architectures like MVVM. Lead end-to-end feature development and integrate AI/ML capabilities and backend services.
Design and maintain secure, scalable backend systems and AI-powered platforms on AWS. Collaborate with cross-functional teams to implement shared experiences and ensure system reliability through testing and on-call rotations.
Design and maintain secure, scalable backend systems and AI-powered platforms on AWS. Collaborate with cross-functional teams to implement shared experiences and ensure system reliability through testing and on-call rotations.
Design and maintain secure, scalable backend systems and AI-powered platforms on AWS. Collaborate with cross-functional teams to implement the full software development lifecycle from architecture to deployment.
Design and maintain secure, scalable backend systems and AI-powered platforms on AWS. Collaborate with cross-functional teams to implement shared experiences and ensure system reliability through testing and on-call rotations.
The developer will implement solutions from coding to testing and participate in the full development lifecycle. Responsibilities also include developing new features, maintaining existing applications, and troubleshooting production issues.
The developer will be responsible for designing, developing, and maintaining new and existing applications throughout the full software development lifecycle. This includes performing code reviews, discussing design trade-offs, and providing support for production deployments.
The developer will digest requirements from the product team to build scalable cloud-based solutions. They are responsible for the full development lifecycle, including coding, testing, and production deployment support.
The Senior Data Engineer will collaborate with cross-functional teams to migrate data from Snowflake on AWS to Azure Databricks and DBT. This role includes developing and maintaining infrastructure-as-code and supporting data transformation processes.
As a UX Designer, you will analyze business problems and user needs to propose user-centered solutions. You will collaborate with stakeholders and create wireframes, prototypes, and high-fidelity mockups to enhance digital products.
The role involves developing scripts for data extraction from MongoDB and creating APIs for data processing and delivery. Additionally, the developer will optimize MongoDB queries for report generation and collaborate with analytics teams to understand reporting requirements.
As a Frontend React Developer, you will contribute to the team's user experience and application performance. You will work in a dynamic team to provide solutions using JS and the React framework, participating in the complete cycle of development.