Design, build, and maintain scalable enterprise web applications while collaborating with cross-functional teams in an Agile environment. Conduct rigorous code reviews, provide technical mentorship, and ensure high application performance through comprehensive testing.
The role involves bridging the gap between business stakeholders and the development team to drive product definitions and requirements. Additionally, it requires championing product quality by establishing QA standards, executing test cases, and managing defects throughout the project lifecycle.
You will design clean, user-centric mobile and web applications while maintaining robust design systems for consistency. Additionally, you will collaborate with cross-functional teams to translate complex financial concepts into intuitive user experiences.
The role involves modernizing and scaling an enterprise Salesforce Service Cloud environment through custom development and modular interface components. You will also be responsible for building fault-tolerant API integrations and optimizing automated work routing architectures.
The Senior DevOps Engineer will lead the migration of workloads from AWS to Azure using an AKS-first model and optimize cloud environments for performance and cost. They will also design Infrastructure as Code and standardize CI/CD pipelines to modernize deployment workflows.
The Salesforce Business Analyst will lead the implementation of Salesforce Data Cloud and Agentforce to establish a modern customer data foundation. They will bridge the gap between business stakeholders and technical teams to design unified data flows and drive actionable requirements.
You will design intuitive user flows, wireframes, and high-fidelity mockups for complex B2B SaaS platforms and responsive web experiences. Additionally, you will build and maintain scalable design systems in Figma while collaborating with cross-functional teams to ensure accessibility and design quality.
Design, build, and maintain robust backend applications and RESTful APIs using Java and Spring Boot. Integrate production-grade LLMs into backend workflows while managing cloud infrastructure on AWS.
You will build and optimize robust ETL/ELT data pipelines across Snowflake, Salesforce Data Cloud, and GCP to support revenue engine operations. Additionally, you will model core Go-To-Market data assets and ensure data quality through rigorous governance and query optimization.
The role involves architecting automated testing frameworks using Playwright and TypeScript while contributing to backend production code in Java or Kotlin. You will also integrate test suites into CI/CD pipelines and perform root-cause analysis on system failures.
You will design and maintain high-performance backend microservices and automation workflows to modernize enterprise sales processes. Additionally, you will integrate custom backend solutions with Salesforce and build systems to support AI-driven sales development tools.
Lead the end-to-end product management of an AI-powered IT help assistant, including scoping, prioritization, and backlog management. Drive the optimization of AI workflows, monitor performance metrics, and facilitate collaboration between engineering and support operations teams.
The Senior QA Automation Engineer will design and enforce a comprehensive automated testing strategy for distributed systems, Python microservices, and agentic AI workflows. They will integrate test suites into CI/CD pipelines as quality gates and perform root-cause analysis to ensure system reliability.
You will design end-to-end messaging experiences and AI-powered features across mobile and desktop platforms. You will also collaborate with cross-functional teams to iterate on designs using user research and A/B testing to improve communication efficiency.
You will execute end-to-end product design for partner-facing workflows, focusing on technical integration experiences for enterprise employers. Additionally, you will utilize AI-assisted tools and design systems to build prototypes and validate design hypotheses through usability and A/B testing.
The Senior QA Automation Engineer will design and enforce a robust automated testing strategy for distributed systems, Python microservices, and agentic AI workflows. They will also integrate test suites into CI/CD pipelines as quality gates and perform root-cause analysis to resolve test flakiness.
Design, build, and maintain feature-rich, customer-facing web applications from conception to production. Collaborate with cross-functional teams to translate product requirements and SEO strategies into scalable technical solutions.
You will lead the DevOps, infrastructure engineering, and operational readiness for a power management platform while managing a nearshore team of engineers. Responsibilities include consolidating CI/CD pipelines, establishing edge deployment strategies, and enforcing production readiness standards.
The role involves designing end-to-end UX for AI-powered messaging features across mobile and desktop platforms to improve employer-candidate communication. Responsibilities include creating wireframes, prototypes, and high-fidelity mockups while collaborating with cross-functional teams and validating designs through A/B testing.
Develop, deploy, and maintain production-grade machine learning pipelines and models in cloud environments. Collaborate with cross-functional teams to translate business goals into scalable AI and LLM-driven solutions.
Deliver functional configuration and operational support across Workday Financials modules to reduce technical backlog. Partner with finance leaders to translate business needs into scalable system architectures and automated workflows.
Lead the end-to-end product management of an enterprise AI-powered IT help experience integrated into Slack. Focus on optimizing AI agent workflows, tuning prompts, and coordinating with engineering and support operations to scale automated technical resolutions.
Lead the development of high-performance full-stack features to drive strategic SEO marketing initiatives. Collaborate with Product Managers and Engineering Leads to scale consumer web traffic and deliver optimized code.
Lead the design and scaling of automated testing frameworks for web UIs and backend microservices. Integrate automated quality gates into CI/CD pipelines to support shift-left testing practices.
Design and maintain scalable ELT/ETL pipelines and data models to enable financial visibility and cloud cost optimization. Own the schema design for a Cloud Economics data warehouse and provide high-quality datasets for executive financial reporting.
Lead cloud infrastructure migrations and provide dedicated DevOps support for UK and European engineering stakeholders. Maintain and scale cloud environments using Terraform and optimize CI/CD pipelines via Jenkins.
Provide system configuration support and production troubleshooting within the Workday Financials ecosystem. Collaborate with cross-functional stakeholders to translate business requirements into technical solutions and maintain system documentation.
Lead the migration of workloads from AWS to Azure using an AKS-first model and modernize legacy infrastructure into cloud-native architectures. Design and implement robust Infrastructure as Code and standardize CI/CD pipelines to optimize deployment workflows.
Lead the scaling and maintenance of a self-hosted n8n enterprise automation engine. Develop custom node code and advanced webhooks to build robust, asynchronous workflows for high-scale operational loads.
Lead the scaling and maintenance of a self-hosted n8n enterprise automation engine. Develop custom node code and advanced webhooks to build robust, asynchronous workflows for high-scale operational loads.
Design and build high-performance developer portals and internal tools using React and TypeScript. Collaborate with backend teams to integrate RESTful APIs and ensure a seamless developer user experience.
Design and scale distributed backend systems to handle massive real-time queries and heavy data processing. Integrate AI coding assistants into the development workflow to maximize velocity while maintaining high code quality.
Monitor critical production systems and act as the primary technical responder for live incidents and escalations. Focus on improving platform reliability through automation, runbook refinement, and collaboration with engineering teams.
Own the manual verification of end-to-end user workflows for a high-traffic SaaS platform. Act as a critical triage unit to diagnose production anomalies and translate them into technical tickets for engineering.
Design and scale backend services using Java and Spring Boot while maintaining multiple React-based frontends for a live recruitment platform. Triage production issues dynamically and manage event-driven messaging workflows using Kafka and GraphQL.
The role involves managing the infrastructure for subscription billing or quote-to-cash transformations to ensure scalable commercial operations. The manager acts as a bridge between Product, Finance, and Engineering to translate commercial intent into operational reality.
You will lead the end-to-end recruitment lifecycle for complex IT roles, acting as a consultant for both candidates and hiring managers. Additionally, you will conduct deep-dive technical screenings and partner with US-based leadership to manage headcount needs and candidate personas.
The role involves developing and maintaining scalable, interactive, and accessible web applications using React and modern frontend technologies. You will collaborate with cross-functional teams to translate complex data into intuitive dashboards while ensuring high code quality and technical feasibility.
You will act as the bridge between design vision and technical execution, managing a multi-product ecosystem and scaling a robust design system. Additionally, you will lead a distributed pool of UI engineers to ensure high-quality, accessible, and high-performing interfaces.
You will design, scale, and maintain secure cloud architectures while executing complex cloud migrations and integrating AI/MLOps workflows. The role involves collaborating with engineering and platform teams to ensure high availability and operational excellence in enterprise environments.
The Senior Program Manager will drive cross-functional delivery by managing complex dependencies between engineering, product, and design teams. They are responsible for maintaining program schedules, RAID logs, and ensuring high-visibility SaaS delivery remains aligned with strategic business goals.
The Executive Assistant will manage day-to-day financial operations, including expense tracking, payment processing, and cash flow monitoring. They will also serve as the primary point of contact for UK-based accountants and banking institutions to ensure financial compliance and operational efficiency.
The engineer will build and maintain scalable backend services using .NET Core and dynamic frontend interfaces with ReactJS. They will own features from architectural design through to deployment while collaborating with cross-functional teams in an Agile environment.
Architect and develop scalable, high-performance services using .NET Core and ReactJS. Collaborate with cross-functional teams to rebuild core modules and ensure data integrity across financial workflows.
The Technical Program Manager will lead engineering teams and manage large-scale technical programs from conception through delivery. They are responsible for overseeing release governance, optimizing Agile methodologies, and ensuring seamless communication between technical teams and leadership.
The engineer will design and implement complex AI agents and multi-agent workflows using frameworks like LangChain or LangGraph, while building and maintaining scalable Python backend services to support AI features. Key tasks include developing RAG pipelines, managing vector databases, and integrating Large Language Models with existing systems.
The engineer will architect and implement high-performance data processing pipelines using Java for the Central Exposure Dataset, focusing on handling massive User Session data volumes.
The Data Architect will define the long-term data strategy, architecting and implementing a roadmap to transition the data environment into a structured, high-performance ecosystem. Key tasks include designing and optimizing complex data models, leading performance tuning, and establishing organizational standardization for data governance.
The Senior Program Manager will coordinate delivery activities across cross-functional teams, facilitate Agile ceremonies, and assist with planning by documenting scope, dependencies, and risks. Key duties include maintaining governance artifacts like RAID logs, tracking progress, and preparing structured bi-weekly reports.
The role involves architecting and scaling robust data ecosystems, leading the design and implementation of end-to-end data pipelines to transform raw data into actionable insights. The technical leader will ensure the data infrastructure remains scalable, reliable, and production-ready while providing guidance to the team.
The role involves designing, building, and maintaining scalable data solutions using Python and SQL, while developing and integrating machine learning and computer vision models within Azure services. Responsibilities also include connecting to external systems via APIs and ensuring the production readiness and performance of data workflows.
