Senior .NET Engineer
The Senior .NET Engineer will design and implement applications while maintaining high code quality standards. They are also responsible for mentoring team members and participating in technical interviews.
The Senior .NET Engineer will design and implement applications while maintaining high code quality standards. They are also responsible for mentoring team members and participating in technical interviews.
The Senior Data Engineer will design, develop, and deploy data solutions, including data models, dashboards, and reports to provide business insights. They are responsible for managing data ingestion, ETL processes, and performance tuning of complex SQL and DAX queries.
The Senior DevOps Engineer will rearchitect and codify cloud infrastructure on AWS and Azure while establishing a world-class SRE and observability practice. They will also build an Internal Developer Platform to provide golden paths for fast, safe, and self-service software delivery.
Define, execute, and maintain an effective automated testing strategy across functional, integration, contract, performance, and load testing, including suitable test data and approaches for areas where automation has limitations. Coach and guide colleagues, improve tools and processes, promote team-wide quality ownership, and collaborate with product and engineering teams to deliver and operate reliable software.
You will be responsible for designing, implementing, and maintaining scalable, secure, and automated cloud infrastructure and CI/CD pipelines. You will also collaborate with cross-functional teams to drive deployment reliability and operational excellence across multi-cloud environments.
The Support Engineer will manage technical relationships with clients, troubleshoot SaaS platform issues, and coordinate with internal teams to implement features and resolve inquiries. They are also responsible for driving client projects, performing quality assurance, and communicating client needs to the product management team.
The Solution Architect will identify business goals and architect technology solutions to automate customer processes. They are responsible for documenting architecture decisions and ensuring design alignment across cross-functional development teams.
The Solution Architect will collaborate with cross-functional teams to design and document scalable software architectures that automate business processes. They are responsible for identifying business goals, mapping technology architectures, and ensuring design decisions align with stakeholder requirements.
You will architect, build, and scale internal AI platforms, custom skills, and autonomous agent workflows for cross-functional teams. Additionally, you will manage cloud infrastructure, implement AI security measures, and coach teams on AI adoption and governance.
The Solution Architect will identify business goals and map out comprehensive business, information, and technology architectures. They are responsible for managing design processes, documenting trade-offs, and validating design decisions across cross-functional teams.
The Solution Architect will identify business goals and map out comprehensive business, information, and technology architectures. They are responsible for documenting design decisions, managing architecture processes, and ensuring that downstream design decisions align with the overall solution vision.
You will own the full product development lifecycle, from architecture and implementation to testing and deployment. Additionally, you will lead the design of RESTful APIs and drive engineering excellence across the team to ensure high performance and reliability.
You will own, reverse engineer, and optimize complex statistical models written in R while developing new predictive features. Additionally, you will collaborate with data engineering teams and mentor junior staff to ensure high-quality, production-ready code.
The Support Engineer will manage customer orders within the GDSN data pool and maintain customer master data in the CRM system. Additionally, the role involves handling customer communication, ticketing, and ensuring accurate billing for services provided.
The Support Engineer will manage technical relationships for clients, troubleshooting SaaS platform issues and coordinating internal resources. They will also lead communication with product teams to drive product improvements and ensure successful client integrations.
You will own the full software development lifecycle, from architecture and implementation to deployment and production support. Additionally, you will collaborate with cross-functional teams and mentor fellow engineers to drive technical strategy and platform evolution.
You will take ownership of core analytical models by reverse engineering existing R code and conducting rigorous statistical analysis. Additionally, you will design and deploy new predictive models while mentoring junior team members and collaborating with data engineering.
You will own and optimize core analytical models by deconstructing existing R algorithms and conducting rigorous statistical analysis. Additionally, you will design new predictive models, refactor code for production, and mentor junior team members.
The specialist will investigate and diagnose tracking issues across mobile and web platforms, including performance drops and data mismatches. They will also maintain documentation of configurations and collaborate with cross-functional teams to ensure data integrity.
The Support Engineer will manage technical relationships with clients to ensure success with the SaaS platform while troubleshooting issues and implementing new features. They will also lead communication between clients and internal teams to drive product improvements and manage technical projects.
The Senior Support Engineer will manage service desk operations, analyze customer issues, and provide timely resolutions or escalations. Additionally, they will maintain technical documentation and contribute to the development of web-based support initiatives.
The Support Engineer will manage technical relationships with clients, troubleshooting SaaS platform issues and coordinating internal resources. They will also lead communication with product teams to define requirements and drive client-facing projects.
Lead the transformation of the software development lifecycle into an AI-agentic model by designing and implementing autonomous agent architectures. Own the technical strategy, organizational rollout, and change management processes to integrate AI agents into development workflows.
You will design and develop unit, integration, and system-level tests for advanced medical device firmware. You will also collaborate with cross-functional engineering teams to ensure comprehensive test coverage and compliance with regulatory standards.
You will be responsible for back-end development using microservice architecture and participating in the design and architectural decision-making process. Additionally, you will implement various testing strategies and collaborate with international teams to deliver product roadmaps.
You will perform back-end development using microservice architecture and participate in the design of application architecture and code reviews. Additionally, you will collaborate with cross-functional teams in an Agile environment to deliver product roadmaps and ensure high coding standards.
The Expert DevOps Engineer will modernize and build AI-enabled cloud infrastructure, specifically focusing on agentic AI platforms and SDN micro-segmentation. They will also lead the development of systems architectures and ensure the application of technical strategies and standards across the organization.
The Lead Java Engineer will define and own the platform architecture while leading architecture reviews and influencing product roadmaps. They will also mentor engineering teams and guide technical strategy for global cloud deployments and compliance.
The Senior Agentic Engineer will lead the design and implementation of scalable, AI-driven technical solutions and automated workflows to improve operational efficiency. They are responsible for managing the Zendesk ecosystem, ensuring system stability, and partnering with stakeholders to translate business requirements into robust technical architectures.
The Senior Agentic Engineer will industrialize a no-code proof-of-concept into production-grade Python services on Azure. Responsibilities include building and tuning specialist AI agents, implementing prompt logic, and managing end-to-end quality through automated testing and LLM evaluations.
The Senior Agentic Engineer will lead the design and implementation of AI-driven technical solutions and manage the Zendesk ticketing ecosystem. They will also automate manual processes and partner with cross-functional teams to ensure system scalability and operational efficiency.
The Senior Delivery Manager will lead cross-functional development teams to engineer complex product solutions. They are responsible for monitoring delivery progress, managing project scope, and ensuring effective communication with stakeholders.
You will architect, build, and scale internal AI platforms, custom skills, and agentic workflows while managing cloud infrastructure. Additionally, you will implement robust AI security measures and coach cross-functional teams on AI adoption and governance.
The Talent Sourcing Specialist will partner with recruiters to define sourcing strategies and identify top IT talent using advanced search techniques. They will also conduct market research and engage with potential candidates to build long-term professional relationships.
You will be responsible for designing, implementing, and maintaining scalable, secure, and automated cloud infrastructure and CI/CD pipelines. You will also collaborate with development and operations teams to drive deployment reliability and infrastructure automation.
You will design, build, and deploy security controls and guardrails across cloud-native platforms, including AI security solutions. Additionally, you will automate security processes as code and conduct risk assessments to ensure platform resilience.
You will design, build, and deploy security controls and guardrails across cloud-native platforms, including AI security solutions. Additionally, you will automate security processes as code and conduct risk audits to ensure platform resilience.
Lead backend engineering efforts for partner data consolidation while designing robust data pipelines and APIs. Collaborate with cross-functional teams to maintain high-quality code and ensure scalability within an agile environment.
You will work within a cross-functional team to engineer, maintain, and deploy high-quality software using event-driven and microservices architectures. You are expected to own workstreams, communicate progress, and continuously improve engineering processes while supporting your code in production.
The Lead Delivery Manager will oversee the end-to-end technical delivery of core client projects while managing and supporting cross-functional engineering teams. Responsibilities include prioritizing work, aligning with stakeholders, and managing risks, dependencies, and people.
Lead backend engineering efforts and design robust data pipelines, APIs, and data unification strategies. Collaborate with cross-functional teams to develop scalable software solutions and ensure high availability in production environments.
You will implement and execute automated test scripts for AI voice agents and partner assistants. Additionally, you will monitor AI accuracy in staging and production while contributing to release testing regression packs.
Lead the architecture for strategic AI initiatives and define reference patterns across products and platforms. Partner with engineering teams to ensure AI solutions meet enterprise standards for security, scalability, and compliance.
You will design and maintain automated test suites for a complex, non-deterministic AI Agent Development Platform, ensuring reliability and performance. This involves building failure-injection tests, verifying multi-tenant isolation, and collaborating with AI engineers to integrate quality gates into the CI/CD pipeline.
You will design and automate scalable infrastructure using infrastructure-as-code while implementing monitoring and observability systems to meet SLIs and SLOs. Additionally, you will lead on-call incident responses and collaborate with development teams to optimize performance and capacity planning.
Lead backend engineering efforts and design robust data pipelines, APIs, and data unification strategies. Collaborate with international teams to develop scalable software solutions while ensuring high availability and integrity of partner data.
You will develop and maintain robust automated testing infrastructures using Python within complex distributed systems. Additionally, you will collaborate with cross-functional teams to drive quality initiatives and ensure seamless feature integration.
Design and execute automated tests, performance benchmarks, and security validations for consolidated data platforms. Collaborate with global engineering teams to ensure data migrations and APIs meet strict latency and security requirements.
You will architect automated testing frameworks for AI-driven voice and text interfaces while leading quality strategies for system migrations. Additionally, you will guide developers on testing levels, define quality metrics, and execute integration and regression testing.
You will implement operational batch-processing capabilities and robust data pipelines while maintaining APIs within a microservices architecture. Additionally, you will collaborate with cross-functional global teams to develop scalable software solutions and ensure high availability of partner data.
You will develop, maintain, and scale backend services using Java and Kotlin while collaborating with cross-functional teams on data migrations and compliance frameworks. Additionally, you will own workstreams and contribute to engineering practices to ensure high-quality code delivery in production.
Drive backend architectural decisions and lead complex third-party API orchestration within a cross-functional team. Design robust event-driven microservices while ensuring strict regulatory compliance and high-quality code delivery.
The Senior NOC Engineer will analyze and resolve complex technical issues while interfacing directly with customers to provide solutions. They are also responsible for service desk management, incident monitoring, and developing technical documentation for the knowledge base.
You will design, build, and maintain core infrastructure while driving developer experience improvements to reduce friction. Additionally, you will lead production triage and partner with engineering teams to translate their needs into scalable infrastructure decisions.
The Senior NOC Engineer will analyze and resolve complex technical issues while interfacing directly with customers to provide solutions. They are responsible for service desk management, incident monitoring, and maintaining documentation for the knowledge base.
The Senior SAP Engineer will design, extend, and validate integrations between internal and external source systems and the Kinaxis Maestro platform. They will act as the primary link between business stakeholders, product teams, and development teams to ensure technical consistency and data quality.
You will modernize and build out AI-enabled cloud infrastructure with a focus on agentic AI platforms. This includes implementing SDN micro-segmentation and centralized policy control planes to govern agent behavior.
The Lead Java Engineer will own the architecture across product and platform, defining service boundaries and integration patterns while driving cross-team execution. They will also mentor engineers, establish best practices in design and secure coding, and guide global cloud deployments in regulated environments.
You will design, build, and maintain core infrastructure while driving developer experience improvements to reduce friction. Additionally, you will lead production triage and partner with engineering teams to translate their needs into scalable infrastructure decisions.
Design and implement complex web applications while improving engineering and quality standards across the team. You will also create CI/CD pipelines, participate in hiring activities, and mentor junior or middle-level engineers.
The Senior Automation QA Engineer will architect test automation frameworks from scratch and migrate existing suites to Playwright. They will also integrate automated scripts into CI/CD processes and provide technical guidance to the testing team.
The role involves architecting test automation frameworks from scratch and integrating them into CI/CD pipelines while ensuring high code quality. You will also define quality metrics, mentor team members, and collaborate with cross-functional teams to automate manual processes.
The role involves leading automation initiatives for enterprise GenAI and Data Science platforms to streamline environment provisioning, deployment, and governance. You will design and operationalize scalable, secure automation frameworks to support the full lifecycle of AI and analytics workloads.
You will design and run automated test suites to validate AI-generated documentation and verify data pipeline integrity across complex knowledge graphs. Additionally, you will build frameworks to track output quality drift and collaborate with engineering teams to define acceptance criteria.
You will refactor and modernize the existing automation framework while designing robust test suites for Web UI and REST APIs. Additionally, you will coordinate with cross-squad leaders to support automated testing and resolve technical bottlenecks.
The Senior .NET Engineer will design and implement applications while maintaining high code quality standards. They are also responsible for mentoring team members, conducting technical interviews, and managing infrastructure for application deployment.
The Senior JavaScript Engineer will design, govern, and evolve an enterprise-wide design system while driving front-end strategy and component architecture. They will also collaborate with cross-functional teams to ensure accessibility, performance, and technical excellence across web applications.
The Data Engineering Expert will design, develop, and deploy complex Power BI solutions and ETL pipelines while optimizing data storage and query performance. They will also contribute to platform robustness, mentor team members, and participate in community-building activities.
The .NET Engineer will develop back-end components using microservice architecture to meet complex business needs. They will also participate in architectural design, feature documentation, and the implementation of comprehensive testing strategies.
The role involves designing and deploying advanced Power BI solutions and managing complex ETL pipelines across Azure data services. You will also be responsible for optimizing data storage, performing SQL query tuning, and collaborating with cross-functional teams to deliver high-quality data insights.
The Data Engineering Expert will design, develop, and deploy complex Power BI solutions and ETL pipelines to provide actionable business insights. They will also manage data storage in Azure, optimize query performance, and mentor team members on best practices.
Design, develop, and deploy complex Power BI solutions and ETL pipelines to provide actionable business insights. Manage data storage in Azure, optimize performance for SQL and DAX queries, and contribute to cross-functional team development.
You will lead the refactoring and modernization of the core test automation infrastructure for an AI-powered video analytics ecosystem. Additionally, you will coordinate with cross-functional squads to support automated testing and ensure quality standards are met.
Lead the migration and redesign of legacy applications into scalable, cloud-ready microservices using .NET Core and Azure. Manage high-performance RESTful APIs and optimize relational data models to support high-volume transactional processing.
Lead the design and development of complex software solutions while ensuring high coding standards and performance. Collaborate with cross-functional teams to deliver product roadmaps and mentor team members through code reviews and architectural guidance.
The engineer will develop and enhance enterprise Generative AI platform capabilities, including reusable frameworks, agentic services, and self-service components. They will collaborate with cross-functional teams to design, build, and maintain scalable AI/ML lifecycle solutions that support business objectives.
The Agentic Principal Lead Consultant will partner with cross-functional leaders to identify and embed AI into real operating workflows across the organization. They are responsible for building an AI workflow roadmap, driving build-versus-buy assessments, and establishing operational guardrails for AI-enabled tools.
The engineer will develop and enhance enterprise Generative AI platform capabilities, including agentic services, RAG solutions, and reusable frameworks. They will collaborate with cross-functional teams to build scalable, secure, and resilient AI/ML lifecycle components and automated workflows.
The Senior Full Stack Engineer will build and maintain features for user-generated content while collaborating with cross-functional teams to ensure a holistic product experience. They are responsible for identifying technical debt, implementing CI/CD initiatives, and providing technical leadership across the department.
The Automation QA Engineer will build and execute automated Python test suites to validate RAG pipeline performance and retrieval accuracy. They will also integrate these quality scorecards into Azure DevOps CI/CD pipelines to ensure data integrity and prevent regression.
Design and implement complex web applications while improving engineering standards and quality metrics. Collaborate with DevOps teams on CI/CD pipelines and mentor junior or middle-level engineers.
The role involves leading automation initiatives for enterprise GenAI and Data Science platforms, including the design of self-service infrastructure and CI/CD pipelines. You will collaborate with cross-functional teams to operationalize AI workloads and ensure platform reliability, scalability, and governance.
The role involves architecting and building enterprise-scale Generative AI and data platforms to support advanced analytics and agentic workflows. You will lead the design of reusable platform services while ensuring high standards for security, governance, and operational excellence.
The role involves embedding with client teams to decompose manual business workflows into modular, scalable AI-agent pipelines. You will own the end-to-end lifecycle of AI solutions, from discovery and system architecture to production deployment and continuous iteration.
The Senior Business Analyst will own the end-to-end business analysis process, managing requirements from ideation to maintenance within a cross-functional fintech team. Responsibilities include defining payment-related features, managing the product backlog, modeling technical workflows, and facilitating Agile ceremonies.
You will design, build, and maintain secure, scalable AWS cloud infrastructure using Infrastructure as Code principles. Additionally, you will manage Amazon EKS platforms and automate operational tasks to ensure high availability for mission-critical applications.
The Senior Product Designer will take ownership of product design projects, conducting user research and facilitating workshops to solve complex business challenges. They will also mentor junior consultants, optimize design-to-development workflows, and participate in pre-sales activities.
You will own the strategy, roadmap, and execution of the company's card products while driving complex integrations with payment networks and issuing partners. You will also partner with cross-functional teams to deliver innovative solutions that improve customer engagement and operational efficiency.
The Senior DevOps Engineer will build complex, highly available, and cost-optimized cloud infrastructure solutions on GCP and Kubernetes. They will also design advanced CI/CD pipelines and establish comprehensive monitoring and observability strategies to support production services.
Design and maintain automated test suites for an enterprise-grade Agent Development Platform, focusing on both frontend and backend reliability. Develop adversarial and non-deterministic testing strategies to verify LLM behaviors, multi-tenant isolation, and durable execution guarantees.
Lead the Product Management, Design, and Analysis functions while driving business development and market expansion across UK, US, and Western European markets. Oversee end-to-end product development from discovery to delivery and manage the growth and performance of a 100+ person team.
Develop full-stack features for AI agents, including chat interfaces and backend APIs for enterprise integration. Collaborate with cross-functional teams to build scalable, secure agent interfaces and workflow orchestrations.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and supporting presales activities.
Lead end-to-end business analysis for a next-generation fintech platform, focusing on payment workflows and transaction processing. Manage the product backlog, define technical workflows using UML/BPMN, and collaborate with cross-functional teams to deliver high-impact financial services.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Develop and optimize data and model pipelines using CI/CD practices to ensure scalability and high performance.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Develop data and model pipelines while implementing CI/CD workflows to ensure scalability and performance.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Design and implement CI/CD pipelines and data workflows to ensure high performance and scalability of AI solutions.
Design, develop, and deploy Power BI solutions and data models to provide advanced analytics and business insights. Manage data ingestion, ETL processes, and performance tuning for complex SQL and DAX queries within a TAX platform.
Design and maintain automated test suites for frontend and backend platforms, focusing on LLM-driven behavior and asynchronous workflows. Establish production-ready release gates and adversarial test corpora to ensure system resilience and security.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales activities.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales engineering solutions.
Lead the design, development, and deployment of advanced AI systems and scalable LLM-driven applications. Act as a technical authority for clients while mentoring peers and contributing to presales engineering solutions.
Design and deliver production-ready agentic AI systems using the Glean platform and OpenAI GPT Enterprise. The role involves owning agents from design through production, focusing on reliability, security, and maintainability at enterprise scale.