The Senior Frontend Engineer will lead front-end architecture and build user interfaces for a cloud-based SaaS platform. They will collaborate with UI/UX, product management, and engineering teams to turn designs into functional code while participating in the full software development lifecycle.
The Cloud Platform Technical Lead will own the reliability and orchestration of an enterprise data platform within a regulated healthcare environment. They will lead technical transitions, establish cloud architecture principles, and guide cross-platform troubleshooting for infrastructure and data pipelines.
The engineer will iterate on front-end improvements and collaborate with UI/UX and product teams to design and implement new features. They will be responsible for turning mockups into code, integrating REST APIs, and participating in the full software development lifecycle.
You will design, build, and scale product capabilities while collaborating with cross-functional teams including QA, product management, and staff tech leads. You are expected to autonomously deliver business impact and implement best practices to optimize development efficiency.
You will build and scale customer-facing applications by collaborating with cross-functional teams including product, UX, and data. Additionally, you will implement best practices to optimize development processes and communicate project status to stakeholders.
Take technical ownership of a new iOS product and drive greenfield development from the ground up. Collaborate with AI tools to resolve technical problems while ensuring the quality and correctness of the implementation.
You will contribute to the development and maintenance of an application-protection product using C# and IL. You will work alongside senior engineers to solve technical problems and supervise AI-assisted development tasks.
You will take technical ownership of an application-protection product, moving from high-level goals to researched, working features. You will also investigate browser runtime behavior and contribute to various parts of the stack including CI/CD and front-end development.
You will build and maintain scalable data pipelines and analytical models to support business intelligence in the media and entertainment industry. You will also collaborate with product managers and technical leadership to deliver consumption-ready data while adopting AI-driven development tools.
The Senior Data Platform Engineer will operate and improve a Snowflake-based enterprise data platform, including managing data ingestion, pipeline development, and system observability. They will also lead incident resolution, mentor team members, and ensure the reliability and performance of data workloads in a regulated healthcare environment.
The Delivery Manager will lead end-to-end delivery for a data and analytics program, acting as a bridge between business requirements and technical execution. They will manage project priorities, dependencies, and risks while ensuring alignment across cross-functional teams and stakeholders.
You will architect, develop, and maintain high-performance Shopify Plus eCommerce solutions while collaborating with a team of senior engineers. The role involves deep code analysis, platform strategy, and providing technical support to ensure engineering excellence.
The Data Platform Engineer will architect, design, and deliver scalable data pipelines on the Databricks platform. They are also responsible for diagnosing production issues and collaborating with the development lead to ensure high-performance application delivery.
The Senior Frontend Engineer will build and maintain features in a large, modern Angular application while contributing to frontend architecture and technical decisions. They will collaborate with UX and product teams to ensure accessible, high-quality features and participate in AI-assisted development workflows.
The Scrum Master will facilitate core ceremonies such as daily standups, sprint planning, and retrospectives across multiple delivery teams. They are also responsible for coaching teams on Agile best practices, managing project risks, and maintaining stakeholder alignment through transparent collaboration.
Develop and maintain backend Java/Spring Boot services for billing and account management systems. Ensure system reliability through observability, resilience patterns, and rigorous testing in a distributed environment.
The role involves building and maintaining data pipelines and tooling for cost attribution, performance-informed financial modeling, and optimization. You will work with cross-functional stakeholders to ensure data trust and provide transparency into cloud and infrastructure costs.
Develop and maintain data pipelines and tooling for cost attribution, performance-informed financial modeling, and optimization. Enable stakeholders to make data-driven decisions by ensuring data trust and transparency.
Design, develop, and deploy scalable Salesforce CRM solutions using Apex, Lightning Web Components, and Flows. Collaborate with stakeholders to implement AI-assisted workflows and maintain platform performance through secure development practices.
The DevOps Engineer will maintain production and staging environments, manage application migrations, and improve cloud infrastructure reliability through automation. They will also support CI/CD pipelines, monitor system performance, and participate in an on-call rotation to ensure high availability.
The role involves maintaining production and staging environments, executing application migrations, and improving cloud infrastructure reliability. You will also manage CI/CD pipelines, monitor system performance, and participate in an on-call rotation to ensure high availability.
The Graphic Designer will ideate and execute compelling visual concepts for e-commerce, web, and mobile projects while mapping designs to business goals. They will also collaborate with cross-functional teams, mentor junior staff, and utilize AI tools to streamline design workflows.
You will design and implement robust backend services using Java and Spring Boot while maintaining the supporting Angular frontend. Additionally, you will lead the transition to domain-driven structures and architect scalable RESTful APIs within cross-functional squads.
The engineer will architect and manage GCP cloud infrastructure while leading a dedicated AWS-to-GCP migration workstream. Responsibilities include deploying and maintaining cloud resources, managing Kubernetes workloads, and automating CI/CD pipelines.
Design, develop, and optimize scalable ETL/ELT data pipelines while operationalizing agentic workflows for automation. Collaborate with cross-functional teams to implement data quality checks, monitoring, and sustainable solutions for production issues.
Lead end-to-end technical delivery for projects involving Salesforce, AI agents, and enterprise workflows. Partner with stakeholders and engineering teams to design scalable solutions and mentor developers on best practices.
You will lead a squad in developing robust backend services using Java and Spring Boot while maintaining the Angular frontend. Additionally, you will drive the transition to domain-driven design and mentor junior developers to ensure high engineering standards.
Build and maintain Snowflake data tables, financial reports, and Tableau dashboards to track subscription and promotional offer performance and support decisions across Finance, Marketing, and Product. Analyze customer behavior, discounts, retention, and lifetime value; ensure data quality; and communicate findings, anomalies, and business impact to stakeholders.
Design, optimize, and support scalable ETL/ELT pipelines and production-grade data solutions using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Build and operationalize agentic workflows and reusable components to automate data engineering tasks, while implementing quality controls, monitoring, testing, and production support.
Design, build, and optimize scalable ETL/ELT pipelines and reusable data engineering components using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Develop and operationalize agentic workflows for data validation, troubleshooting, and automation, while implementing production controls and supporting deployment, monitoring, and ongoing improvements.
Design, build, and optimize scalable ETL/ELT pipelines and production-grade data solutions using Databricks, PySpark, SQL, GCP, BigQuery, and Delta Lake. Develop and operationalize agentic automation workflows, implement data quality and production controls, troubleshoot issues, and collaborate with business and platform teams to identify automation opportunities.
Design and own the target-state architecture for a large-scale GCP lakehouse data platform, including ingestion, transformation, governance, cataloging, and analytics-serving layers. Advise on legacy ETL migration and tooling choices, review engineering work, and present architecture decisions to client, executive, and security stakeholders.
Lead the target-state design of a multi-petabyte GCP lakehouse and medallion data platform, covering ingestion, transformation, governance, cataloging, and analytics-serving layers. Advise on legacy ETL migration and tooling choices, review engineering work, and present architecture decisions to client, executive, and security stakeholders.
Lead the Shopify e-commerce practice by architecting stores, applications, and integrations, setting engineering standards, and mentoring developers. Advise clients on technical roadmaps and e-commerce growth, while supporting sales discovery, project scoping, and cross-functional delivery.
The Senior Data Scientist will drive statistical execution and algorithmic validation of Meridian MMM frameworks to provide multi-objective spend recommendations. They will also collaborate with internal engineering teams to resolve pipeline requirements and ensure data integrity across client-isolated experiments.
You will own performance marketing for the US B2B market, focusing on Google Ads, paid acquisition, and full-funnel optimization. Additionally, you will mentor a PPC specialist and collaborate with cross-functional teams to scale growth through experimentation and AI-driven strategies.
The Senior Help Desk Technician will manage the full device lifecycle, including procurement, configuration, and security deployment for a remote-first team. They are also responsible for providing IT support, managing user access, and building self-service resources to improve operational efficiency.
The developer will own backend Java services and MuleSoft integrations to support the Case object ecosystem and platform reliability. They are responsible for diagnosing API failures, participating in on-call rotations, and maintaining platform health KPIs.
The QA Automation Engineer will build and execute regression, smoke, and performance automation scripts while documenting feature behavior. They will collaborate with product and customer-facing teams to ensure quality throughout the SDLC and incorporate user feedback into testing strategies.
The GCP Cloud Engineer will architect and manage cloud infrastructure while leading a dedicated AWS-to-GCP migration workstream. Responsibilities include deploying resources via Terraform, managing GKE workloads, and automating CI/CD pipelines using Azure DevOps.
Build, maintain, and improve the software platform using Elixir, working across the application and owning development tasks from problem definition through delivery. Collaborate with product managers and the broader team, maintain service integrations and PostgreSQL data layers, and contribute to reliable code, troubleshooting, and evolving engineering practices.
Architect, deploy, and optimize GCP infrastructure and containerized or serverless workloads using services such as GKE, Cloud Run, and Cloud Functions. Lead AWS-to-GCP migration activities, including workload and data assessment, target architecture, production cutover and rollback planning, and CI/CD automation.
Architect and maintain GCP infrastructure with Terraform, and deploy containerized and serverless workloads using GKE, Docker, Helm, Cloud Run, and Cloud Functions. Lead AWS-to-GCP migration activities, including assessment, architecture, production cutover, rollback planning, and data migration, while supporting reliability, security, performance, and cost optimization.
The Senior Product Owner will define and prioritize the strategic vision and backlog for internal security tools and developer portals. They will bridge the gap between executive security mandates and engineering execution to reduce systemic risk and developer friction.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries across AWS and Kubernetes. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
Own the strategic vision and backlog for internal security tools and developer portals, prioritizing work that reduces systemic risk and improves the developer experience. Drive adoption of security policies and tooling, and connect executive security mandates with Agile delivery teams.
Lead a multi-team technical program covering product integration and migration from AWS to Google Cloud, translating high-level goals into detailed workstreams, milestones, dependencies, and delivery plans. Coordinate engineering, testing, data, cloud, and product teams; manage risks and blockers; and report progress and decisions to stakeholders and senior management.
Develop predictive models and quantitative analytics to prioritize vulnerabilities according to contextual risk and business impact, and analyze large-scale enterprise security telemetry for the ASPM framework. Build models to filter scanning noise and false positives, and create unified data delivery structures and dashboards that support data-driven security governance.
Design, build, and maintain scalable platform services, managing cloud resources and service boundaries while ensuring security and operational excellence. Monitor and optimize system performance, improve development processes, and communicate project status, risks, and issues to stakeholders.
Lead the end-to-end technical program across distributed engineering teams, focusing on product integration and AWS-to-GCP cloud migration. Manage project roadmaps, dependencies, and stakeholder communication while coordinating testing, validation, and production readiness.
Lead end-to-end technical programs, including product integration and complex AWS-to-GCP cloud migrations. Coordinate across distributed engineering teams to manage dependencies, architecture, and delivery milestones while reporting progress to senior stakeholders.
Develop and maintain backend systems, APIs, and integrations using PHP while ensuring scalability and performance. Collaborate with cross-functional teams to define requirements and participate in engineering reviews and code quality standards.
The developer will own and maintain the Java/MuleSoft integration layer connecting Salesforce Service Cloud to upstream and downstream systems. Responsibilities include diagnosing integration failures, participating in on-call rotations, and monitoring platform health KPIs.
You will design and scale core platform capabilities using C#/.NET and React while mentoring junior engineers. The role involves building high-availability database systems and collaborating with designers to deliver performant, accessible user interfaces.
Architect and build low-latency APIs and backend services using .NET while developing user interfaces with Angular. Manage the production lifecycle of services using CI/CD pipelines and ensure high code quality through test automation and peer reviews.
Develop and maintain backend systems, APIs, and integrations while ensuring scalability and performance. Collaborate with cross-functional teams to define requirements and participate in engineering reviews and code quality standards.
The Full Stack Tech Lead will resolve production issues for high-traffic hiring products while leading and mentoring engineering teams. They will partner with client-facing teams to triage support tickets and maintain system reliability through proactive monitoring and architecture support.
You will design and scale a platform for enterprise procurement teams by working across the frontend and backend. This involves collaborating with product, data science, and design teams to turn wireframes into production features while participating in an on-call rotation.
Lead the technical development, QA, and deployment of A/B testing and personalization campaigns using Adobe Target. Manage enterprise web tagging architecture and configure data connections for cross-channel reporting.
You will architect and oversee Shopify stores while providing strategic guidance on conversion optimization, UX/UI, and performance. Additionally, you will lead development teams, mentor developers, and collaborate with sales to scope projects and identify growth opportunities.
The designer will own end-to-end design for authentication and account security experiences, including problem framing, flow mapping, and engineering-ready spec delivery. They will also collaborate with engineers and senior designers to ensure consistent, high-quality implementation across employer and jobseeker surfaces.
Design, build, and maintain scalable, performant, and reliable software systems while contributing to system architecture. Collaborate with cross-functional teams to handle engineering maintenance, compliance, and operational tool development.
The Data Architect will design and implement robust data architectures within the Adobe Experience Platform, focusing on RTCDP and AJO solutions. They will also manage data ingestion pipelines, define identity resolution frameworks, and collaborate with marketing teams to orchestrate complex customer journeys.
The Senior Full Stack Engineer will build and maintain backend services, API integrations, and React-based content blocks for a Unified CMS platform. They will also implement content models, optimize SSR/SSG workflows, and utilize AI-assisted development to improve productivity and code quality.
The Senior Application Security Engineer will deploy and tune security scanning tools while integrating security controls into CI/CD pipelines. They will also perform threat modeling and collaborate with engineering teams to remediate vulnerabilities and improve overall security posture.
You will design and maintain secure data pipelines and semantic layers to make HR data consumable by BI tools and AI agents. Additionally, you will develop and deploy AI agents using Snowflake Cortex to enable natural-language querying over HR data.
Design and maintain the enterprise knowledge graph and AI context layer to ground search and agent responses. Partner with subject-matter experts to build, test, and deploy AI agents, skills, and workflows while ensuring platform reliability and security.
The AI Platform Context Lead will design and maintain the knowledge graph and context layer to ground enterprise AI agents and search systems. This role involves building scalable integrations, establishing evaluation practices for output quality, and enabling cross-functional teams to manage their own context.
The Senior Salesforce Consultant will design and implement scalable Salesforce solutions to support sales and marketing operations, including automation, data quality, and reporting. They will manage configuration across the CRM lifecycle, from lead conversion to post-sale expansion tracking.
The Senior Salesforce Consultant will configure and enhance Salesforce to support sales and marketing operations, including automation, data quality, and reporting. They will translate business requirements into scalable solutions while ensuring reliable processes and clear documentation.
You will design technical specifications and develop custom C#/.NET extensions to maintain and enhance InRiver PIM platform integrations. Additionally, you will diagnose technical issues and collaborate with the engineering team to optimize data models and system workflows.
You will build and maintain backend services, automation workflows, and Salesforce API integrations to support a GTM data platform. Additionally, you will contribute to AI-assisted sales automation initiatives using Java or Python within an agile environment.
You will write and maintain Python scripts to integrate security gates like SAST, DAST, and SCA into CI/CD pipelines. Additionally, you will tune scanning tools to reduce false positives and provide code-level remediation guidance to development teams.
The engineer will design and implement backend services using Java and Spring Boot while maintaining the Angular frontend. They will lead the transition to domain-driven structures and architect scalable RESTful APIs.
The role involves auditing AWS architecture, CI/CD processes, and ETL pipeline decisions in an advisory capacity. You will also mentor the engineering team on infrastructure standards and evaluate AI-assisted development workflows.
The Senior Data Engineer will lead the replacement of a legacy third-party ingestion tool with a custom-built ETL pipeline within an AWS environment. They will also collaborate with data science teams to ensure output aligns with downstream attribution and scoring logic.
The Regional Accountant will manage financial operations across Latin America, focusing on contractor onboarding, invoice reconciliation, and payment processing. They will also coordinate with internal teams and monitor local financial and regulatory changes in Brazil and Colombia.
The Regional Accountant will manage end-to-end financial operations for Latin America, including contractor onboarding, invoice processing, and payment reconciliation. They will also coordinate with cross-functional teams and monitor local financial and regulatory changes in Brazil and Colombia.
The Regional Accountant will manage financial operations across Latin America, including contractor onboarding, invoice reconciliation, and payment processing. They will also coordinate with IT, HR, and Delivery teams while monitoring local financial and regulatory changes.
The engineer will design technical specifications, develop custom C#/.NET extensions, and build upstream and downstream integrations for the InRiver PIM platform. They are also responsible for diagnosing technical issues, maintaining data integrity, and recommending updates to the data model.
You will build robust server-side solutions for a SaaS platform and contribute to architecture decisions for reusable client integration systems. Additionally, you will collaborate with cross-functional teams to plan sprints and participate in code reviews and CI/CD processes.
Own production reliability and troubleshoot a high-scale live hiring events platform serving enterprise clients. Collaborate with Client Support and GTM teams to resolve issues and maintain SLA compliance across distributed backend systems.
Design and maintain scalable, secure backend systems for a high-scale consumer dating platform using Kotlin and AWS. Lead projects from architecture to production while mentoring junior engineers and establishing technical standards.
