Provide technical leadership by defining development standards, guiding architectural decisions, and mentoring developers across teams. Develop and enhance full-stack solutions while improving microservices observability, system reliability, and security practices.
The Senior Security Engineer will take ownership of security operations, vulnerability remediation, and endpoint security initiatives. They will also implement and maintain AWS security controls and monitor the environment using tools like CrowdStrike Falcon and Datadog.
The Senior Security Engineer will take ownership of security operations, including vulnerability remediation, endpoint security, and cloud security initiatives. They are responsible for implementing AWS security controls and monitoring the environment using tools like CrowdStrike Falcon and Datadog.
Design, develop, and maintain robust backend systems and APIs while collaborating with front-end developers. Ensure application scalability, implement security measures, and manage database performance.
Develop reusable APIs, connectors, and tools to enable secure AI agent interaction with enterprise systems. Integrate AI agents with platforms like SharePoint, SAP, and Databricks while implementing robust workflow orchestration and API governance.
Build and maintain reusable, scalable UI components and modules using TypeScript/JavaScript and component-based frameworks. Develop schema-driven frontend solutions and translate UX/UI designs into pixel-perfect, responsive interfaces.
Design, develop, and maintain enterprise web applications and backend microservices using Java and Angular. Collaborate with cross-functional teams to deliver scalable end-to-end solutions while ensuring high code quality and performance.
Provide production support, continuous monitoring, and incident resolution for US regional applications to ensure SLA compliance. Manage database queries, server logs, and CI/CD deployment activities to maintain infrastructure stability.
Design scalable, secure, and cost-effective AWS solutions while leading cloud migration initiatives for clients. Engage in presales activities, including workshops and proposal development, while acting as a trusted technical advisor.
Plan, design, and execute manual and automated tests for investor funding, payment processing, and system integrations. Build and maintain automated test suites using Python and Playwright while integrating them into CI/CD pipelines.
Design, develop, and maintain reliable backend solutions using modern programming languages like Java or Kotlin. Contribute to the operation of large-scale, high-performance, and resilient systems while collaborating with cross-functional teams.
Develop and maintain backend applications using Java and Spring Boot while contributing to various frontend and backend projects. Take full ownership of the software development lifecycle, including deployment, troubleshooting, and resolving technical challenges autonomously.
Design, develop, and maintain macOS applications while contributing to the evolution of a modern authentication platform. Collaborate with cross-functional teams to integrate identity capabilities and implement Apple security best practices.
Design, build, and maintain scalable data pipelines using Airflow, Python, AWS, and Snowflake. Define data architecture standards while ensuring data quality, governance, and infrastructure optimization.
Provide technical leadership by guiding architecture and engineering decisions, refining requirements, reviewing code, mentoring developers, and coordinating technical work across teams. Improve software reliability, security, performance, observability, and delivery practices, including CI/CD, testing, documentation, and development standards.
Provide production support for US regional applications by monitoring infrastructure and ensuring SLA compliance. Troubleshoot issues using server logs and execute SQL queries to investigate data-related problems.
The role involves building and shipping features for a high-throughput eCommerce platform while collaborating with product and design teams. You will also be responsible for cloud integrations, backend service development, and ensuring system monitoring and visibility.
Design, develop, and maintain robust backend systems and APIs while collaborating with front-end developers. Ensure application scalability, implement security measures, and manage database performance.
Develop and scale high-performance, cloud-native web applications across the frontend, backend, and infrastructure. Transform prototypes and predictive models into scalable, production-ready features while leveraging AI-assisted tools to improve code quality and automation.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability and performance.
Design and implement scalable, cloud-native SaaS applications using microservice architectures and advanced AI agent frameworks. Partner with cross-functional teams to guide architectural decisions and deliver reliable, high-performance solutions.
Design and implement performant, scalable cloud-native SaaS applications using microservice architectures. Build autonomous AI agents and advanced Graph-RAG pipelines while partnering with cross-functional teams to guide architectural decisions.
Develop reusable APIs, connectors, and MCP tools to enable secure AI agent interaction with enterprise systems. Integrate AI agents with platforms like SharePoint, SAP, and Databricks while ensuring platform reliability and scalability.
Develop reusable APIs, connectors, and MCP tools to enable secure AI agent interaction with enterprise systems. Integrate AI agents with platforms like SharePoint, SAP, and Databricks while ensuring platform reliability and scalability.
Develop reusable APIs, connectors, and MCP tools to enable secure AI agent interaction with enterprise systems. Implement workflow orchestration, platform reliability, and robust security standards across all integrations.
Develop reusable APIs, connectors, and MCP tools to enable secure AI agent interaction with enterprise systems. Integrate AI agents with business-critical platforms while ensuring scalability, reliability, and robust API security governance.
Design, develop, and deploy enterprise AI agents and multi-agent systems using Azure AI Foundry and Python-based frameworks. Integrate AI solutions with enterprise tools while ensuring quality, latency, and reliability through automated evaluations and production monitoring.
Design, develop, and deploy enterprise AI agents, copilots, and multi-agent systems using Azure AI Foundry and Python-based frameworks. Optimize agent quality, latency, and reliability through automated evaluations and continuous production monitoring.
Design and implement RAG and enterprise search architectures using Databricks, Azure AI Search, and vector search technologies. Develop and maintain knowledge graph models and document extraction pipelines to ensure high-quality data retrieval and metadata management.
Design, develop, and deploy enterprise AI agents and multi-agent systems using Azure AI Foundry and Python-based frameworks. Optimize agent quality, latency, and reliability through automated evaluations, monitoring, and continuous improvement practices.
Design and implement RAG and enterprise search architectures using Databricks, including ingestion, transformation, and indexing pipelines. Maintain knowledge graph models and Azure AI Search indexes to ensure high-quality, secure, and relevant data retrieval.
Design and implement RAG and enterprise search architectures using Databricks, including ingestion, transformation, and indexing pipelines. Maintain knowledge graph models and Azure AI Search indexes to ensure high-quality, secure, and relevant information retrieval.
Build and maintain automated evaluation frameworks for AI agents, RAG solutions, and model outputs to ensure high-quality performance. Implement CI/CD quality gates and monitor production AI systems for drift, reliability, and failure patterns.
Build and maintain automated evaluation frameworks for AI agents, RAG solutions, and model outputs to ensure high-quality performance. Implement CI/CD quality gates and monitor production AI systems for drift, reliability, and failure patterns.
Build automated evaluation frameworks for AI agents, RAG solutions, and model outputs while implementing CI/CD quality gates. Test AI-specific behaviors such as hallucinations, grounding, and prompt injection to ensure production reliability.
Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS. Build scalable end-to-end data ingestion and transformation pipelines while implementing robust data architecture and governance frameworks.
Design, develop, and maintain AI-powered applications and backend services using Python, TypeScript, and AWS. Build scalable end-to-end data ingestion and transformation pipelines while implementing robust data architecture and governance frameworks.
Design and develop AI-powered applications and backend services using Python, TypeScript, and AWS. Build scalable end-to-end data ingestion and transformation pipelines while ensuring robust data architecture and governance.
Lead and mentor a team of data engineers while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.
Lead and mentor a team of data engineers while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.
Lead and mentor a team of data engineers while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.
Provide technical customer support via live chat and ticketing platforms while troubleshooting product, connectivity, and performance issues. Independently manage customer cases from intake to resolution and escalate complex technical issues with detailed documentation.
Design and implement scalable, cloud-native SaaS applications using microservice architectures and advanced AI agent frameworks. Partner with cross-functional teams to guide architectural decisions and deliver reliable, high-performance AI solutions.
Design and implement scalable, cloud-native SaaS applications using microservice architectures and advanced AI agent frameworks. Collaborate with cross-functional teams to guide architectural decisions and deliver high-performance, reliable AI-driven solutions.
Design, develop, and maintain secure macOS applications using Swift and the Apple ecosystem. Contribute to authentication platform development while applying security best practices and troubleshooting complex system issues.
Develop and scale high-performance, cloud-native web applications across the frontend, backend, and infrastructure. Collaborate with product and data teams to transform prototypes and automation tools into scalable, production-ready features.
Develop and scale high-performance, cloud-native web applications across the full stack while integrating AI-assisted tools to improve productivity. Manage backend infrastructure, automation pipelines, and predictive models to ensure high availability and system efficiency.
Develop and scale high-performance, cloud-native web applications across the frontend, backend, and infrastructure. Transform prototypes and automation tools into scalable, production-ready features while leveraging AI-assisted development to improve code quality.
Develop and scale high-performance, cloud-native web applications across the frontend, backend, and infrastructure. Collaborate with product and data teams to transform prototypes and automation tools into scalable, production-ready features.
Develop, customize, and maintain Salesforce applications using Apex, Visualforce, and Lightning components. Collaborate with stakeholders to translate requirements into technical specifications and perform system integrations.
Develop, customize, and maintain Salesforce applications using Apex, Visualforce, and Lightning components. Collaborate with stakeholders to gather requirements and implement integrations between Salesforce and third-party applications.
Develop, customize, and maintain Salesforce applications using Apex, Visualforce, and Lightning components. Collaborate with stakeholders to translate requirements into technical specifications and perform system integrations.
Develop, customize, and maintain Salesforce applications using Apex, Visualforce, and Lightning components. Collaborate with stakeholders to translate requirements into technical specifications and implement integrations with third-party applications.
The Senior QA Engineer will plan, design, and execute manual and automated tests for system integrations, data pipelines, and payment processing. They will also integrate automated tests into CI/CD pipelines and leverage AI-powered tools to enhance quality engineering efficiency.
Plan, design, and execute manual and automated testing for investor funding, payment processing, and system integrations. Collaborate with developers and stakeholders to maintain quality metrics and validate defect resolution within an Agile environment.
The Senior QA Engineer will plan, design, and execute both manual and automated tests for system integrations, payment processing, and data pipelines. They will also leverage AI-powered tools to enhance test development efficiency and collaborate with Agile teams to ensure high-quality software delivery.
Plan, design, and execute manual and automated testing for investor funding, payment processing, and system integrations. Collaborate with cross-functional teams to maintain automated test suites and ensure data accuracy through complex SQL validation.
Design, develop, and maintain intelligent automation workflows using UiPath, Power Automate, and Agentic AI frameworks. Collaborate with Agile teams to integrate AI/ML models and ensure automation solutions are scalable, secure, and efficient.
Design, develop, and maintain intelligent automation solutions using UiPath, Power Automate, and Agentic AI frameworks. Collaborate with Agile teams to integrate AI models, perform testing, and ensure scalable, secure automation deployments.
Design, develop, and maintain intelligent automation workflows using UiPath, Power Automate, and Agentic AI frameworks. Collaborate with Agile teams to integrate AI/ML models and ensure scalable, secure, and efficient automation solutions.
Design, develop, and maintain intelligent automation workflows using UiPath, Power Automate, and Agentic AI frameworks. Collaborate with Agile teams to integrate AI/ML models and ensure scalable, secure, and high-quality automation solutions.
Lead the design and implementation of scalable, production-grade Machine Learning systems in cloud environments. Architect and deliver end-to-end ML solutions, from data ingestion and feature engineering to deployment and monitoring.
The Tech Lead will provide technical leadership to a globally distributed team while designing and maintaining scalable Python-based backend services. They will also coordinate team activities, integrate RESTful APIs, and ensure the implementation of best practices across the development lifecycle.
Design, develop, and maintain enterprise web applications and backend microservices using Java and Angular. Collaborate with cross-functional teams to deliver end-to-end solutions while ensuring high-performance and maintainable code.
Design, develop, and maintain enterprise web applications and backend microservices using Java and Angular. Collaborate with cross-functional teams to deliver end-to-end solutions while ensuring high-performance code and robust testing.
Build and maintain reusable, scalable UI components and modules using TypeScript/JavaScript and component-based frameworks. Collaborate with cross-functional teams to integrate components across architectural layers and ensure adherence to design system standards.
Build and maintain reusable, scalable UI components and modules using TypeScript/JavaScript and component-based frameworks. Develop schema-driven frontend solutions and ensure adherence to design system standards and performance requirements.
Design, develop, and maintain macOS applications while contributing to a modern authentication platform. Collaborate with cross-functional teams to implement security best practices and integrate API-based capabilities.
The role involves executing validation and certification test plans for applications within Kubernetes-based environments. You will also develop automation scripts, manage defects, and collaborate with cross-functional teams to ensure platform stability.
Design and maintain scalable data pipelines using Airflow while developing production-grade Python code for API integrations and data processing. Manage infrastructure as code with Terraform and ensure data quality, reliability, and governance across the Snowflake data warehouse.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability and performance.
Collaborate with development teams to design and implement monitoring, alerting, and APM instrumentation across services. Lead the optimization of observability solutions and define service level objectives to ensure application reliability and performance.
Lead and mentor data engineering teams while setting technical direction and driving engineering excellence. Own the end-to-end architecture, design, and implementation of scalable data platforms and migration strategies.
The Senior Test Environment Manager will own and manage test environments throughout the software testing lifecycle to ensure stability and readiness. They will coordinate environment planning, configuration, and deployments while collaborating with cross-functional teams to resolve issues and minimize testing disruptions.
Build and deploy AI agents using frameworks like Azure AI Foundry and Copilot Studio to solve business problems. Manage the full lifecycle of agent development, including prompt engineering, orchestration, evaluation, and production monitoring.
Develop reusable APIs, connectors, MCP tools, and service contracts, and integrate AI agents with enterprise systems such as SharePoint, SAP, Databricks, and SQL. Implement workflow orchestration and operational controls, including state management, retries, exception handling, access restrictions, API governance, reliability, and scalability.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design secure, scalable, and cost-effective AWS solutions, and lead migrations from on-premises environments to AWS. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams throughout the project lifecycle.
Design scalable, secure, and cost-effective AWS solutions while leading cloud migration initiatives for clients. Engage in presales activities, including workshops and proposal development, while acting as a trusted technical advisor.
Design and build scalable, cloud-native SaaS platforms and production-ready AI agents, including Graph-RAG solutions, while leading architectural decisions and developing high-performance APIs. Guide engineering teams on architecture, cloud infrastructure, and data platforms, and collaborate with product, sales, customer success, and engineering teams on technical solutions.
Design secure, scalable, and cost-effective AWS solutions, and lead cloud migrations from on-premises environments. Support presales through client presentations, workshops, demonstrations, and proposals while advising clients and collaborating with teams on technical solutions.
Design, develop, test, and maintain macOS applications while contributing to an authentication platform and integrating identity and API capabilities. Apply Apple security best practices, troubleshoot application and authentication issues, collaborate across engineering and security teams, and use AI-assisted tools to improve development productivity.
The Software Development Manager will lead multi-disciplinary teams by providing technical guidance, architectural oversight, and ensuring project quality and security. They are responsible for managing project lifecycles, stakeholder relationships, and the professional development of team members.
Develop high-performance cloud and container technologies primarily using Python to support 5G and distributed Edge deployments. Participate in agile development processes to deliver quality solutions, unit tests, and resolve integration issues.
Lead the RTS delivery squad and oversee the end-to-end architecture and delivery of strategic, API-driven data products. Mentor engineering team members while establishing technical standards, CI/CD practices, and robust data quality monitoring.
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.
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.
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.
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.
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.
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.
