The engineer will build, maintain, and debug enterprise-grade Java backend services and complex data processing routines. They are also responsible for managing production incidents, triaging alerts, and ensuring seamless API integrations across distributed systems.
You will architect and manage robust data pipelines, focusing on migrating legacy Hive structures to Apache Iceberg and scaling Apache Airflow DAGs. Additionally, you will ensure high-throughput processing and data integrity within an AWS-native environment and Snowflake data warehouse.
Design, develop, and maintain scalable enterprise Salesforce applications using Apex, Lightning Web Components, and complex integrations. Collaborate with cross-functional teams to translate business requirements into secure, high-performing CRM solutions.
You will serve as the primary Cloud Economics partner for R&D engineering groups, driving cloud financial operations and managing costs for AI/LLM workloads. Responsibilities include performing anomaly detection, conducting root-cause analyses, and delivering recurring cloud showback reports.
You will engineer and extend complex quote-to-cash flows on Salesforce Revenue Cloud, including product configuration, pricing logic, and system integrations. Additionally, you will manage data migrations, ensure high-quality code through CI/CD practices, and provide production support for billing and revenue systems.
The Product Manager will serve as the central conduit between business operations and engineering to align delivery with strategic priorities. Responsibilities include managing the engineering backlog, defining user stories, and overseeing the end-to-end delivery lifecycle including UAT.
Design, develop, test, and maintain scalable Salesforce solutions across Sales Cloud and Experience Cloud, including custom code, platform configuration, integrations, and Agentforce-enabled workflows. Troubleshoot and optimize production systems, maintain secure and auditable development practices, and support automated deployments and technical documentation.
Lead end-to-end technical design and execution for AI-driven recruitment platforms while building and scaling full-stack features. Collaborate with international stakeholders to integrate enterprise systems and optimize autonomous LLM agent behaviors.
You will build and maintain scalable backend payment flows while modernizing infrastructure and refactoring legacy codebases. The role involves collaborating within an Agile team to deliver production-grade features and resolving production incidents in high-concurrency environments.
Lead the migration of data platform workloads and infrastructure from legacy systems to a modern AWS cloud environment. Maintain and monitor production environments while implementing governed access models and automated deployment pipelines.
The Database Administrator will manage and optimize highly available, business-critical database infrastructure on AWS, including PostgreSQL and SQL Server. Responsibilities include automating operational tasks, performing performance diagnostics, and ensuring robust disaster recovery and security compliance.
Design and iterate end-to-end interaction and visual solutions for complex enterprise workflows. Collaborate with product managers and engineers to deliver accessible, developer-ready design specifications.
The Technical Lead will oversee the end-to-end delivery of integrated Salesforce and AI agent solutions, ensuring scalable architecture and enterprise-grade automation. They will also mentor engineering teams, manage technical roadmaps, and ensure compliance with security and quality standards.
Design, build, and maintain scalable frontend and backend services while bridging the gap between software and data engineering. Actively participate in Agile/Scrum sprint lifecycles to deliver high-performance, data-intensive platform solutions.
You will develop and optimize AI-powered recruiting workflows by integrating LLMs and autonomous agents into the platform. Additionally, you will manage end-to-end technical delivery, including building robust API integrations with Salesforce and enterprise ATS systems.
You will design and optimize production data models while bridging the gap between application development and database infrastructure. The role involves managing complex relational and document-based databases to ensure high performance, scalability, and secure API integration.
The QA Engineer will plan and execute end-to-end manual and API test scenarios to ensure platform stability and data integrity. They will also collaborate with Agile teams to document defects and verify accessibility compliance across the SaaS platform.
You will execute the end-to-end migration of approximately 1,000 datasets to Snowflake and upgrade orchestration workflows to Apache Airflow 3. Additionally, you will modernize legacy data structures to Apache Iceberg and reconfigure streaming infrastructure across cloud regions.
The Senior Business Analyst will bridge the gap between business stakeholders and technical teams to modernize customer service operations using Salesforce. Responsibilities include eliciting requirements, defining workflows, mapping processes, and leading user acceptance testing.
The role involves designing and modifying database schemas while bridging the gap between application development and database infrastructure. You will be responsible for performance tuning, troubleshooting data flows, and collaborating with cross-functional teams to ensure scalable data solutions.
You will diagnose and resolve complex production incidents across interconnected frontend and backend systems to ensure high system availability. Additionally, you will maintain and refactor event-driven features while collaborating with support teams to meet strict service level agreements.
You will design, build, and maintain scalable backend microservices while ensuring high availability and system reliability. Additionally, you will collaborate with cross-functional teams to deliver high-impact features and mentor peer engineers.
You will design, build, and maintain scalable full-stack web applications using React and Node.js while architecting robust backend systems. Additionally, you will implement automated testing, integrate event-driven analytics, and collaborate with cross-functional teams to manage technical dependencies.
You will manage the migration of service accounts and rotate credentials to enhance platform security and optimize licensing. Additionally, you will collaborate with engineering teams to troubleshoot CI/CD pipelines and ensure robust access control governance.
Design and maintain relational and document-based data models, optimize queries and stored procedures, and resolve data quality issues. Deploy and support production data pipelines, APIs, and software while applying automated testing and continuous delivery practices.
Maintain, troubleshoot, enhance, and deploy backend microservices and frontend applications for a live hiring events platform, including resolving production incidents and supporting event-processing systems. Lead and mentor engineers, manage code delivery and releases, and coordinate with Client Support and GTM teams to maintain platform stability and service levels.
You will own the end-to-end product design cycle for account management and security features, including user flows, wireframes, and interactive prototypes. Additionally, you will collaborate with engineering teams to ensure production-ready handoffs and maintain design consistency using enterprise-scale design systems.
You will build and integrate LLM capabilities into production enterprise systems while designing autonomous AI agents and multi-step task orchestration workflows. The role involves architecting scalable distributed systems and ensuring reliable AI execution using open integration standards like the Model Context Protocol.
You will develop custom features for Model Context Protocol servers and build integrations to expose internal data sources to AI agents. Additionally, you will optimize prompt engineering and context-retrieval architectures to enhance LLM reasoning and code generation quality.
You will build and optimize backend Node.js microservices, REST/GraphQL APIs, and frontend React components for global web experiences. Additionally, you will manage headless CMS architectures, implement A/B testing, and utilize AI coding tools to accelerate development workflows.
