Salesforce
Staff/Senior Software Engineer, Data Infrastructure
Salesforce, San Francisco, California, United States, 94199
Job Category
Software Engineering Job Details
About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn\'t a buzzword - it\'s a way of life. The world of work as we know it is changing and we\'re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce\'s core values at the heart of it all. Ready to level‑up your career at the company leading workforce transformation in the agentic era? You\'re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Slack Staff / Senior Data Infrastructure Engineer
Slack is looking for a Staff / Senior Data Infrastructure Engineer to join the
Data Infrastructure
team within the broader Data Engineering organization. The mission of our team is to build
secure, reliable, and cost‑efficient infrastructure
that powers Slack\'s data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack. Our systems power critical workflows - from batch and streaming ingestion to real‑time analytics and orchestration. We\'re looking for strong technical leaders who can combine
hands‑on expertise
with
strategic impact , helping to scale and evolve the backbone of Slack\'s data infrastructure as we grow. You\’ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you\’ll be a
Directly Responsible Individual (DRI)
for one or more core data services, accountable for uptime, reliability, and performance, and a
subject matter expert (SME)
across multiple systems over time. Here are a few examples of what we work on: Enabling more realtime OLAP capabilities for internal and external customers Scaling our compute and orchestration layer. Creating and scaling agents to enable engineers and users on their workflow and data needs What you will be doing
Design, build, and operate reliable and scalable data infrastructure powering Slack\'s analytics, ML, and data-driven decision-making. Serve as DRI for 1-2 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance. Drive improvements in security, cost efficiency, and developer experience across our data infrastructure. Build automation and self-service tools that empower data teams to easily adopt and manage data workflows. Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions. Contribute to observability, monitoring, and alerting via Grafana and related tooling. Partner with other senior engineers to define best practices, technical standards, and support models for Slack\'s data ecosystem. Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence. What you should have
7+ years of software or infrastructure engineering experience, including time spent supporting
data-intensive systems
or
data platforms . Proven experience in
building, deploying, and operating
distributed infrastructure at scale. Strong technical background with
big data and infrastructure technologies
- such as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems. Proficiency in
Python, Golang, Bash, and SQL . Familiarity with
CI/CD (GitHub Actions) ,
Vault, Terraform, Chef, and Grafana . Deep understanding of infrastructure reliability, observability, and cost efficiency principles. Hands‑on experience supporting
data pipelines
or
data engineering workflows
is a strong plus. Excellent communication skills and the ability to collaborate across cross-functional teams. A strong sense of
ownership
and a drive to deliver high-impact, autonomous results. Bachelor\'s degree in Computer Science, Engineering, or equivalent practical experience. What we value
Slack has a positive, diverse, and supportive culture—we look for people who are
curious, inventive, and collaborative . We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, and-above all-collaborative. Unleash Your Potential
When you join Salesforce, you\'ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we\'ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future —but to redefine what\’s possible— for yourself, for AI, and the world. 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. 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.
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Software Engineering Job Details
About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn\'t a buzzword - it\'s a way of life. The world of work as we know it is changing and we\'re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce\'s core values at the heart of it all. Ready to level‑up your career at the company leading workforce transformation in the agentic era? You\'re in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Slack Staff / Senior Data Infrastructure Engineer
Slack is looking for a Staff / Senior Data Infrastructure Engineer to join the
Data Infrastructure
team within the broader Data Engineering organization. The mission of our team is to build
secure, reliable, and cost‑efficient infrastructure
that powers Slack\'s data ecosystem. We design and operate the core data platforms that enable data engineers, analysts, and machine learning practitioners to deliver trusted insights and data products across Slack. Our systems power critical workflows - from batch and streaming ingestion to real‑time analytics and orchestration. We\'re looking for strong technical leaders who can combine
hands‑on expertise
with
strategic impact , helping to scale and evolve the backbone of Slack\'s data infrastructure as we grow. You\’ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, and orchestration at massive scale. As a Staff / Senior Engineer, you\’ll be a
Directly Responsible Individual (DRI)
for one or more core data services, accountable for uptime, reliability, and performance, and a
subject matter expert (SME)
across multiple systems over time. Here are a few examples of what we work on: Enabling more realtime OLAP capabilities for internal and external customers Scaling our compute and orchestration layer. Creating and scaling agents to enable engineers and users on their workflow and data needs What you will be doing
Design, build, and operate reliable and scalable data infrastructure powering Slack\'s analytics, ML, and data-driven decision-making. Serve as DRI for 1-2 core data services (e.g., EMR, StarRocks, Pinot, Hive Metastore, Airflow, Temporal, Trino), ensuring uptime, reliability, and performance. Drive improvements in security, cost efficiency, and developer experience across our data infrastructure. Build automation and self-service tools that empower data teams to easily adopt and manage data workflows. Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions. Contribute to observability, monitoring, and alerting via Grafana and related tooling. Partner with other senior engineers to define best practices, technical standards, and support models for Slack\'s data ecosystem. Mentor and coach other engineers, modeling ownership, collaboration, and operational excellence. What you should have
7+ years of software or infrastructure engineering experience, including time spent supporting
data-intensive systems
or
data platforms . Proven experience in
building, deploying, and operating
distributed infrastructure at scale. Strong technical background with
big data and infrastructure technologies
- such as EMR, Airflow, Pinot, StarRocks, Hive Metastore, Kubernetes, or equivalent systems. Proficiency in
Python, Golang, Bash, and SQL . Familiarity with
CI/CD (GitHub Actions) ,
Vault, Terraform, Chef, and Grafana . Deep understanding of infrastructure reliability, observability, and cost efficiency principles. Hands‑on experience supporting
data pipelines
or
data engineering workflows
is a strong plus. Excellent communication skills and the ability to collaborate across cross-functional teams. A strong sense of
ownership
and a drive to deliver high-impact, autonomous results. Bachelor\'s degree in Computer Science, Engineering, or equivalent practical experience. What we value
Slack has a positive, diverse, and supportive culture—we look for people who are
curious, inventive, and collaborative . We seek engineers who care deeply about craftsmanship, reliability, and empowering others. In our work together, we strive to be smart, humble, hardworking, and-above all-collaborative. Unleash Your Potential
When you join Salesforce, you\'ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we\'ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future —but to redefine what\’s possible— for yourself, for AI, and the world. 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. 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.
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