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.
Distributed Systems Software Engineer - Public Cloud (Senior/Lead/Principal)
Note: By applying to the Public Cloud - Distributed Systems Software Engineer 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 Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.

Your Impact:
Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba

Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)

Developing Infrastructure-as-Code using Terraform

Writing microservices on containerization frameworks such as Kubernetes, Docker, Mesos

Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt

Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available

Required Skills:
A related technical degree required

3+ years backend software development experience

Deep knowledge of programming in Java, Golang, Python, or Ruby

Experience owning and operating multiple instances of a critical service

Experience with Agile development methodology and Test Driven Development

Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications

Benefits & Perks
Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information
Check out our Salesforce Engineering Site.

Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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.
Note: By applying to Full Stack Software Engineer, Back End Focus 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.

Salesforce has immediate opportunities for very versatile Software Engineers who want their lines of code to have significant and measurable positive impact for users, the company's bottom line and the industry. You will be working with a group of outstanding engineers to build the breakthrough features our customers will love, embrace and use while keeping our trusted platform stable and scalable. The software engineer role at Salesforce encompasses architecture, system design, implementation, and testing to ensure we build products right and release them with high quality.

From Sales Cloud to Marketing Cloud from IoT to Analytics, we have many opportunities available across various applications and platforms. Submit your resume here, and you will be considered for relevant openings across our engineering teams.

Your Impact:
Architect, design, implement, test and deliver highly scalable products
Master our development process, culture and code base, then improve it
Operate effectively in the hybrid engineering model where engineers are encouraged to be able to craft and implement the vital work to ensure quality in their own code as well as other specialists'
Mentor others in development technologies, tools, and processes
Present your own designs to internal/external groups and review designs of others
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics.
Participate in the team's on-call rotation to address sophisticated problems in real-time and keep services operational and highly available

Required skills:
A related technical degree required
5+ years of professional software development experience
Deep knowledge of object oriented programming and experience with at least one object oriented programming language (Java, Javascript, C++, C#, Ruby, Python)
High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.)
Validated understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax
Shown understanding of Database technologies such as SQL, PL/SQL and relational database schema design
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium
Excellent interpersonal skills

Preferred Skills:
Experience building highly scalable web applications
Experience with Agile software development and test-driven development
Bachelor's degree in Computer Science or equivalent field
Track record of being a top performer in current and past roles

Benefits & Perks

Check out our benefits site which explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more.

Salesforce Information

Check out our Salesforce Engineering Site.

*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES *
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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.
Slack is looking for a Staff and Senior level Machine Learning Engineers to craft and implement features, services, API methods, and models to leverage our data to make Slack a fabulous, robust, safe, and valuable product for our users. We work on applications across summarization, recommendation, ranking, and security, but ultimately are looking for engineers who can help drive impact with machine learning across the organization.
At Slack, your impact can be huge:     We have over 10 million daily active users relying on our product.

At peak usage, a million messages a minute pass through Slack.

During the week, our users spend over a billion minutes a day active in our product.

Machine Learning engineers at Slack touch a great variety of parts of our technical stack. At different points, you might find yourself building data pipelines, training recommendation models, fine tuning LLMs, implementing features in our application, or analyzing experiment data. We don't expect everyone to be an expert in everything, but we are looking for candidates with experience in Machine Learning, a strength in at least a couple of these, and who are excited to learn the rest.

This is a practical Machine Learning team, not a research team. Our goal is to deliver business value with machine learning and data in whatever form that takes. Sometimes that means bootstrapping something simple like a logistic regression and moving on. Other times that means developing sophisticated, finely tuned models and novel solutions to Slack's unique problem space. We are looking for engineers who are driven by driving impact for our business, building great products for our customers, and delivering robust, reliable services with machine learning.
What you will be doing:     Develop ML models supporting ranking, retrieval, and generative AI use-cases.

Brainstorm with Product Managers, Designers and Frontend Engineers to conceptualize and build new features for our large (and growing!) user base.

Produce high-quality results by leading or contributing heavily to large multi-functional projects that have a significant impact on the business.

Actively own features or systems and define their long-term health, while also improving the health of surrounding systems.

Support in the development of sustainable data collection pipelines and management of ML features.

Assist our skilled support team and operations team in triaging and resolving production issues.

Mentor other engineers and deeply review code.

Improve engineering standards, tooling, and processes.

What you should have:     7+ years of applicable engineering experience.

Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java.

Built with common ML frameworks like pytorch, Tensorflow, Keras, XGBoost, or Scikit-learn

Experience building batch data processing pipelines with tools like Apache Spark, Hadoop, EMR, Map Reduce, Airflow, Dagster, or Luigi.

Worked on generative AI apps with Large Language Models and possibly fine tuned them

An analytical and data driven mindset, and know how to measure success with complicated ML/AI products.

Put machine learning models or other data-derived artifacts into production at scale.

Experience leading technical architecture discussions and helped drive technical decisions within the team.

The ability to write understandable, testable code with an eye towards maintainability.

Strong communication skills and you are capable of explaining complex technical concepts to designers, support, and other specialists.

Strong computer science fundamentals: data structures, algorithms, programming languages, distributed systems, and information retrieval.

Nice to have:     Expertise in retrieval systems and search algorithms.

Familiarity with vector databases and embeddings.

Knowledge of using multiple data types in RAG solutions including structured, unstructured, and knowledge graphs.

Broad experience across NLP, ML, and Generative AI capabilities.

Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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 $334,600.For Colorado-based roles, the base salary hiring range for this position is $167,300 to $278,600.For Washington-based roles, the base salary hiring range for this position is $184,000 to $306,600. For California-based roles, the base salary hiring range for this position is $200,800 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.
Slack is looking for a Machine Learning Infrastructure Engineer to help us craft a robust and powerful platform to deliver artificial intelligence and machine learning experiences to our customers. You'll be working on building robust, scalable, reliable, and efficient infrastructure to serve cutting edge foundational models as well as more traditional machine learning models. A great candidate will have experience both with ops/infra work to run services in the cloud and a solid understanding of AI/ML and its particular infra demands.

About the Role
Here at Slack, we believe we can build terrific product experiences for our customers with AI, letting them tap into their organizations' collective knowledge. We have an opportunity to develop experiences that automate mundane tasks, efficiently find answers, and sift through the massive amount of information at a company to find what's relevant for a particular worker. We're investing in this area in a drive to make the work lives of the millions of knowledge workers who rely on slack day to day more productive and delightful.
The ML Infrastructure team, part of Slack's Core Infrastructure organization, is responsible for delivering the platform, infrastructure, and expertise in ML/AI to make this product vision possible. We've built out much of this already as part of our Recommendation API, but the needs of foundational AI models, with their unique development model and architectural needs, will require even further investment in our capabilities. We're looking to hire machine learning infrastructure engineers who can help us deliver on that mission.
What you will be doing:
Managing deployments of machine learning models in our own kubernetes-based deployment system and through AWS Bedrock and SageMaker, working with tools like Chef, Hashicorp Terraform, and KubeRay.

Optimizing our models and infrastructure to reduce latency and handle spikes in traffic.

Constantly evaluating and improving our infrastructure to maximize efficiency and minimize costs.

Setting up our model training infrastructure to fine tune embedding models while keeping our customer's data secure.

Working with our search team to generate embeddings at scale to power semantic search and enterprise search.

Working with our ML Modeling and AI teams to support development of AI features and deployment at scale.

Building and supporting an AI Platform.

Supporting 24/7 on-call rotation.

What you should have:
Have 5+ years experience with software engineering, which includes 3+ years in machine learning.

Have built large-scale, distributed, production ML/AI systems professionally and can point to things you've worked on.

Worked on complex issues where the analysis requires an in-depth knowledge of the company and existing architecture.

Love to model modern methodologies for unit tests, code review, design documentation, debugging, and troubleshooting.

Are curious, inquisitive, and determined to fix things when they break.

Work well with a team of diverse backgrounds and experience on complicated projects.

Have experience developing, monitoring, and deploying systems in cloud environments like AWS, GCP, and Azure

Experience with ops tools and frameworks such as Terraform, Chef, and Kubernetes

Experience with ML model serving frameworks/toolkits like Kubeflow, MLflow, AWS Bedrock and SageMaker

Experience with functional or imperative programming languages: PHP, Python, Ruby, Go, C, Scala or Java

Have experience with Grafana, Prometheus, Honeycomb, or other monitoring software

Nice to have:
You're analytical and data driven

You have experience developing machine learning models in PyTorch, TensorFlow, XGBoost, Scikit-learn or similar.

You have experience with building data pipelines in Airflow, Spark, and similar.

You have experience with vector based retrieval like through 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
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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.
*IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISITFUTURE FORCEFOR OPPORTUNITIES *    Note:  By applying to this posting, recruiters and hiring managers across the organization hiring for Full-Stack Software Engineers will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams.

Join our dynamic team at Salesforce and make a real impact with your code! We're looking for passionate individuals who want to shape the future of our products and deliver exceptional experiences to our customers. Come be a part of our innovative and collaborative environment, where your skills will thrive and your ideas will be valued. Apply now and let's build something extraordinary together!

We embrace the hybrid model and celebrate the individual strengths of each team member while encouraging everyone on the team to grow into the best version of themselves. We believe that autonomous teams with the freedom to make decisions will empower individuals, products, companies, and customers to thrive.

Your Impact:
Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology and striving for the best quality and throughput.

As part of this role, you will:
Demonstrate experience in leading technical teams, managing project timelines, and delivering high-quality software solutions.
Mentor and guide team members, ensuring best practices in coding, architecture, and agile methodologies.
Architect, design, implement, test and deliver highly scalable products
Master our development process, culture and code base, then improve it
Operate optimally in the hybrid engineering model where engineers are encouraged to be able to craft and complete the vital work to ensure quality in their own code as well as other engineers
Mentor others in development technologies, tools, and processes
Present your own designs to internal/external groups and review designs of others
Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics
Participate in the team's on-call rotation to address sophisticated problems in real-time and keep services operational and highly available
Required Skills:
A related technical degree required
8+ years of professional software development experience
Deep knowledge of object oriented programming and experience with at least one object oriented programming language (Java, Javascript, C++, C#, Ruby, Python)
High proficiency in at least one high-level programming language and web framework (NodeJS, Express, Hapi, etc.)
Proven understanding of web technologies, such as JavaScript, CSS, HTML5, XML, JavaScript, JSON, and/or Ajax
Validated understanding of Database technologies such as SQL, PL/SQL and relational database schema design
Experience in automated testing including unit and functional testing using Java, JUnit, JSUnit, Selenium
Excellent interpersonal skills
Office-Flex: Work in-person three days per week; or 10 days per quarter for some engineering teams
Preferred Skills:
Experience building highly scalable web applications.
Experience with Agile software development and test-driven development.
Bachelor's degree in Computer Science or equivalent field
Track record of being a top performer in current and past roles
Benefits & Perks:

Check out ourbenefits sitewhich explains our various benefits, including wellbeing reimbursement, generous parental leave, adoption assistance, fertility benefits, and more!

Salesforce Information:

Check out ourSalesforce Engineering Site.
For roles in San Francisco and Los Angeles: 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.
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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 $167,300 to $253,000. For California-based roles, the base salary hiring range for this position is $184,000 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.
Our Public Cloud engineering teams are responsible for innovating and maintaining a large scale distributed systems engineering platform that ships hundreds of features to production for tens of millions of users across all industries every day. Our users count on our platform to be highly reliable, lightning fast, supremely secure, and to preserve all of their customizations and integrations every time we ship. You will need deep experience with concurrency, large scale systems, proficiency with solving real-world data management challenges, a strong understanding of how to craft solutions that are highly available, and a proven ability to design, develop, and optimize the core back-end systems.
Your Impact:
Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on our public cloud platforms such as AWS, GCP, Azure, or Alibaba

Designing, developing, debugging, and operating resilient distributed systems that run across thousands of compute nodes in multiple data centers

Using and contributing to open source technology (Spinnaker, Zookeeper, etc.)

Developing Infrastructure-as-Code using Terraform

Writing micro-services on containerization frameworks such as Kubernetes, Docker, Mesos

Resolving complex technical issues and drive innovations that improve system availability, resilience, and performance

Eat, sleep, and breathe services. You have experience balancing live-site management, feature delivery, and retirement of technical debt

Participate in the team's on-call rotation to address complex problems in real-time and keep services operational and highly available

Required Skills:
A related technical degree required

5+ years backend software development experience

Deep knowledge of programming in Java, Golang, Python, or Ruby

Experience owning and operating multiple instances of a critical service

Experience with Agile development methodology and Test Driven Development

Experience with critical infrastructure services including, monitoring, alerting, logging, and reporting applications
Accommodations
If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
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 $157,600 to $253,000. For California-based roles, the base salary hiring range for this position is $172,000 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.

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Software Engineer Salesforce.Com Inc Jobs

Distributed Systems Software Engineer Public Cloud MidseniorleadprincipalApril 17, 2025

Smts Full Stack Software Engineer Back EndApril 12, 2025

Distributed Systems Software Engineer Public Cloud MidseniorleadprincipalApril 11, 2025

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