To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering  Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
Job Description  At Salesforce, we are reimagining how organizations build and deploy advanced AI and machine learning products! Our Einstein platform is at the forefront of democratizing Generative AI, Predictive AI, and AI Agents, enabling businesses to rapidly create, deploy, and manage intelligent applications. By seamlessly integrating large language models (LLMs), AI Agents, and Predictive AI across all Salesforce clouds, we empower customers to transform their workflows, applications, and customer experiences with innovative, AI-driven capabilities.
What You Will Do:     Design & Lead High-Scale Machine Learning Services: Work with pioneering technologies like Sagemaker, TensorFlow, PyTorch, Triton, and Spark to build scalable, distributed machine learning services on a modern containerized stack using Kubernetes and Spinnaker.

Drive Microservices Architecture: Lead the design, development, and ongoing optimization of microservices architectures for machine learning pipelines, APIs, and model management systems.

Ownership of Core Technology: Take ownership of core platform technologies related to orchestrated machine learning APIs, from design to delivery, driving continuous improvement and scalability of the platform.

Lead High-Impact Engineering Initiatives: Take the lead on projects that significantly impact product growth, applying your expertise to mentor engineers and make strategic technical decisions.

Maintain Service Reliability: Balance live-site management with the delivery of new features and technical debt resolution. Participate in on-call rotations to resolve complex, real-time issues and ensure high availability of services.

Build and Scale Data Services: Work with AWS, GCP, and other cloud providers to build and scale Big Data and real-time data applications.

Core Responsibilities:      Contribute to the long-term technical roadmap and strategy for the Einstein Platform team.

Own technical initiatives that push the boundaries of machine learning and AI at Salesforce, influencing key design decisions and product features.

Lead by example in technical execution, mentoring and coaching team members to tackle complex challenges and grow in their roles.

Drive end-to-end ownership of critical AI features, from the architecture and design phase through to deployment, maintenance, and scaling.

Core Qualifications:      3+ years of hands-on experience with Big Data, machine learning, and microservices architectures.

Proven experience leading highly impactful projects, from inception to delivery, with a focus on large-scale machine learning services (e.g., training & inference pipelines, predictive and generative models).

Strong programming expertise in JVM-based languages (Java, Scala) and Python.

Experience with distributed systems and cloud platforms like AWS, GCP, or Azure, including services like OpenSearch, DynamoDB, EMR, S3, and Google Cloud ML.

Expertise with open-source projects and technologies such as Spark, Kafka, Feast, and Iceberg.

Solid understanding of containerization (e.g., Docker, Kubernetes) and cloud-native deployment patterns.

Preferred Qualifications:
Deep experience with machine learning platforms like Amazon SageMaker or Google Cloud AI.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $125,700 to $216,700. For California-based roles, the base salary hiring range for this position is $137,100 to $236,500. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering  Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
At Slack, we are dedicated to revolutionizing the way people find and interact with information. Our mission is to build cutting-edge search technologies that deliver relevant and personalized results to our users. We are looking for a talented and passionate Search Infrastructure Data Engineer to join our team and help us achieve this goal!
About the Team:  The Core Infrastructure organization at Slack is responsible for designing, developing, and maintaining the information retrieval infrastructure that supports our Search, ML, and many other product experiences. This stack is at the heart of what makes Slack such a compelling store of company knowledge, allowing our customers to find and discover messages, channels, people, files, and other business units within their workspaces. We are also heavily invested in generative AI, helping build products that leverage the full wealth of knowledge in our company.
Job Description:  As a Search Infrastructure Data Engineer, You will be responsible for designing, building, and maintaining the data infrastructure and pipelines that power our search systems. You will work closely with internal teams and software developers to ensure that our search algorithms are efficient, scalable, and deliver high-quality results. This role helps power the entire Slack search indexing pipeline and is responsibly for building highly scalable pipelines at petabyte scale to ensure all slack users can search on and find their data.
Key Responsibilities:
Design and develop scalable and resilient information retrieval infrastructure to power search and other products.

Build and integrate scalable backend systems, platforms, and tools that power our data warehouse and help our partners implement, deploy, and analyze data assets.

Develop and maintain ETL processes to ensure data quality and consistency.

Optimize data storage and retrieval to support real-time search queries and recommendations.

Monitor and troubleshoot data pipelines in production.

Participate in on-call rotation

Work with the Search Infrastructure teams to maintain and improve various data pipelines.

Mentor other engineers and deeply review code.

Improve engineering standards, tooling, and processes.

Qualifications:
Experience with big data technologies such as Spark, Map Reduce, Hadoop, Airflow, Hive, and Kafka.

Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

6+ years of relevant technical experience, including significant experience in data engineering, with a  focus on search.

Experience with search technologies such as Elasticsearch, Solr, or Lucene.

Proficiency in programming languages such as Python, Java, or Scala.

Solid understanding of SQL and NoSQL databases.

Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization (e.g., Docker, Kubernetes).

Excellent problem-solving skills and attention to detail.

Strong communication and collaboration skills.

Preferred Qualifications:
Familiarity with data visualization tools and techniques like Graphana, Logstach, or Splunk

Experience with vector-based retrieval systems like Vespa, Milvus, or Solr.

Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For New York-based roles, the base salary hiring range for this position is $200,800 to $276,100.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $230,000.For Washington-based roles, the base salary hiring range for this position is $184,000 to $253,000. For California-based roles, the base salary hiring range for this position is $200,800 to $276,100. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering  Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
Note: By applying to the Backend Software Engineer (Security) posting, recruiters and hiring managers across the organization hiring Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES *
Our Security Software Engineering team builds and operates highly scalable, fault-tolerant, distributed systems to deliver cloud-scale security software services. We provide the fundamental building blocks to improve and preserve customer trust in Salesforce's products across multiple public cloud substrates and our own network infrastructure. We architect and implement our services, to protect Salesforce products/infrastructure and defend against malicious attacks. . You will have the unique opportunity to learn from the best industry security experts and integrate that into your software and service engineering.

Built-in Trust. Hyperforce's security architecture continuously verifies and limits users to appropriate levels of access to customer data (*this is what our IAM team does*), protecting exposure of sensitive information due to human error or misconfiguration (*this is Data Protection, i.e. PKI, Secrets management, etc.*). Encryption, at rest and in transit, comes standard, ensuring the privacy and the security of data from Salesforce and public cloud providers (*SDS creates these capabilities in a PaaS model, so other Salesforce teams can call these services and make sure their environments adhere to these security requirements*).

Required Skills-
Experience building large scale distributed systems, especially in cloud environments
Deep understanding of object oriented programming and experience with at least one object oriented programming language (Java, Go,Python C++, C#)
Experience with public cloud services (AWS or Google Cloud Platform or Azure)
Experience with Scrum or other agile development methodologies, with attention to code quality, delivering secure code
Experience working in a complex team environment. Able to deliver under pressure.
Good knowledge with operating systems (Linux, Mac and Windows)
A related technical degree required
Prior security knowledge is not required .

Preferred Skills
Knowledge working with relational database MySQL, Postgres
Familiar with open source technologies, such as ZooKeeper, MongoDB
Experience with big data and pipeline technologies, such as Hadoop, Kafka
Knowledge or experience with machine learning
Experience building services with Docker and Kubernetes
Good knowledge with network technologies, such as TCP/IP, DNS or load balancer

Benefits & Perks:
We have a public-facing website https://www.getsalesforcebenefits.com/en that explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more. Visit for the full breakdown!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $125,700 to $306,600. For California-based roles, the base salary hiring range for this position is $137,100 to $334,600. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering  Job Details
About Salesforce
We're Salesforce, the Customer Company, inspiring the future of business with AI+ Data +CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.
Einstein products & platform democratizes AI and transforms the way our Salesforce Ohana builds trusted machine learning and AI products - in days instead of months. It augments the Salesforce Platform with the ability to easily create, deploy, and manage Generative AI and
Predictive AI applications across all clouds. We achieve this vision by providing unified, configuration-driven, and fully orchestrated machine learning APIs, customer-facing declarative interfaces and various microservices for the entire machine learning lifecycle including Data, Training, Predictions/scoring, Orchestration, Model Management, Model Storage, Experimentation etc.

We are already producing over a billion predictions per day, Training 1000s of models per day along with 10s of different Large Language models, serving thousands of customers. We are enabling customers' usage of leading large language models (LLMs), both internally and externally developed, so they can leverage it in their Salesforce use cases. Along with the power of Data Cloud, this platform provides customers an unparalleled advantage for quickly integrating AI in their applications and processes.
What you'll do:     Design and deliver scalable generative AI services that can be integrated with many applications, thousands of tenants, and run at scale in production.

Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring and root cause analysis.

Participate in periodic on-call rotations and be available for critical issues.

Partner with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to understand customer requirements, design prototypes, and bring innovative technologies to production

Participate in meal conversations with your team members about really important topics, such as: Should the cuteness of panda bears be a factor in their survivability? Is love a decision tree or a regression model? How far ahead would society be today if we had 12 fingers instead of 10?

Required Skills:     4+ years of industry experience of ML engineering in building AI system and/or services.
Experience building distributed microservice architecture on AWS, GCP or other public cloud substrates
Experience using modern containerized deployment stack using Kubernetes, Spinnaker, and other technologies
Proven ability to implement, operate, and deliver results via innovation at large scale
Strong programming expertise in JVM-based languages (Java, Scala) and Python.
Experience with distributed, scalable systems and modern data storage, messaging and processing frameworks, including Kafka, Spark, Docker, Hadoop, etc.
Grit, drive and a strong feeling of ownership coupled with collaboration and leadership.
Preferred Skills:     Understanding of MLOps/ML Infra workflows, processes and ML components
Strong experience building and applying machine learning models for business applications
Working or academic knowledge with Sagemaker, Tensorflow, Pytorch, Triton, Spark, or equivalent large-scale distributed Machine Learning technologies
Fantastic problem solver; ability to solve problems that the world has not solved before
Excellent written and spoken communication skills
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at www.equality.com and explore our company benefits at www.salesforcebenefits.com.
Salesforce is an Equal Employment Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce does not accept unsolicited headhunter and agency resumes. Salesforce will not pay any third-party agency or company that does not have a signed agreement with Salesforce.
Salesforce welcomes all.
Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records. For Washington-based roles, the base salary hiring range for this position is $125,700 to $243,100. For California-based roles, the base salary hiring range for this position is $137,100 to $265,200. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, benefits. More details about our company benefits can be found at the following link: https://www.salesforcebenefits.com.

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Software Engineer Salesforce.Com Inc Jobs

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Software Engineer Einstein PlatformMarch 10, 2025

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