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The Senior Software Engineer will research, design, and develop software solutions, enhance existing software capabilities, and build scalable systems for monitoring and telemetry. Responsibilities also include defining best practices for measurable systems, participating in on-call rotations, and collaborating with diverse technical teams.
The MTS Software Engineer will implement algorithms for platform features, develop front-end applications using JavaScript, HTML, and CSS, and collaborate with various teams to deliver high-quality software. Responsibilities include designing test cases, automating testing, and resolving technical issues to drive innovation.
As a Senior Engineering Manager, you will oversee the design and optimization of Salesforce Data Cloud, focusing on unifying and activating enterprise knowledge. You'll lead a high-performing engineering team, develop scalable solutions for data ingestion and transformation, and drive data-driven decision-making through AI.
The Sr/Lead DevOps Engineer will develop observability services, collaborate with product owners, improve engineering standards, maintain documentation, support on-call rotation for operational services, and guide junior engineers. They will focus on contributing to team projects that significantly impact the business while enhancing the platform infrastructure.
As a Software Engineering Architect at Salesforce, you will define and implement quality strategies for SaaS products, focusing on AI technologies and Large Language Models (LLMs). You will evaluate LLM performance, oversee testing and automation processes, establish quality metrics, and collaborate with cross-functional teams to ensure high standards for enterprise applications.
The Senior Analyst will work on implementing and operationalizing ethical use policies across Salesforce. Responsibilities include conducting investigations, enforcing policy, maintaining confidentiality, and collaborating with various teams to develop policy guidance and training. The role requires strong communication skills, analytical ability, and relationship-building with stakeholders.
As a Software Engineer at Salesforce, you will design and implement scalable applications on the Agentforce platform, focusing on AI agent tooling. Responsibilities include delivering application code, presenting designs, developing test strategies, and troubleshooting production issues, while collaborating with cross-functional teams.
As an Automation Software Engineer on the Salesforce Mobile team, you will design cross-team automation strategies, write and review code, and improve product quality through collaboration with various teams. You will build regression test suites, verify bugs, and promote best practices in test automation to ensure software excellence in agile development processes.
The Senior Analyst will manage country controller duties, ensuring compliance with tax and accounting requirements in Latin American regions. Responsibilities include leading closing processes, performing journal entries, variances analysis, maintaining SOX compliance, and collaborating with auditors.
The Software Engineering PMTS at Salesforce involves architecting and managing services on different public cloud substrates, designing deployment automation, improving monitoring and incident response, coaching engineers, contributing to open-source projects, and optimizing the performance of Kubernetes and Kafka.
The Senior Manager, Revenue Recognition at Salesforce partners with various teams to ensure proper revenue recognition compliance and contract review. Responsibilities include contract negotiations, revenue reporting, SOX compliance, and leading special projects. The ideal candidate will have a strong understanding of ASC 606 and 5+ years of experience in a similar role.
Join Salesforce as a Jr. Software Engineer at MuleSoft, a Salesforce Company. Work on developing modular, composable, and maintainable microservices. Collaborate with a SCRUM team to drive the functionality of the Anypoint Platform for global scalability. Take on challenging technical problems and be part of a world-class product development team.
The Full-Stack Engineer will architect, design, and implement scalable solutions that optimize the Salesforce Data Cloud platform. Responsibilities include delivering web experiences, managing the software development lifecycle of documentation portals, and enabling data-driven decision-making through AI integration and automation.
The Senior Product Manager will lead growth initiatives for Slack, focusing on enhancing the premium product experience and payment systems. This role involves developing strategies for payment integrations and collaborating with cross-functional teams to create user-friendly purchase experiences, aiming for significant scalability in Slack's customer base.
The Site Reliability Engineer is responsible for maintaining the performance of customer-facing services, managing incidents, and ensuring compliance with company policies. The role involves working on a 24/7 team, responding to major incidents, performing root cause analysis, and collaborating with team members on technical issues and innovations in the field.
As a Lead Software Engineer/DevOps, you will manage and build a multi-substrate Kubernetes and microservices platform. Responsibilities include ensuring the high availability of clusters, driving automation using programming languages like Python and GoLang, improving CI/CD pipelines, and collaborating with other infrastructure teams. You will also implement monitoring and self-healing mechanisms to enhance the platform's efficiency.
As a Principal Data Scientist at Salesforce, you will lead the development of advanced generative AI applications, focusing on Retrieval Augmented Generation (RAG), Knowledge Graphs, and NLP. Your responsibilities include full-cycle development, building machine learning models, and driving innovation in CRM technology.
The AI Scientist will research, design, prototype, and optimize AI systems for Salesforce's Agentforce team. Responsibilities include translating business problems into applied science challenges, building AI systems, mentoring team members, and educating product and engineering teams about AI innovations.
The Software Engineering LMTS role involves architecting, designing, implementing, testing, and delivering scalable products. Responsibilities include collaborating with engineers and product managers to build features, mentoring team members, developing test strategies, and improving code quality and coverage.
The role involves overseeing the migration and management of SIEM infrastructure, focusing on integrating logs and maintaining security performance. Key tasks include developing and testing log parsers, automating log processes, and collaborating with stakeholders for seamless data integration.