Staff/Sr. Software Engineer, Search Data Infrastructure - Slack
Salesforce - Washington - Seattle; Georgia - Atlanta; Texas - Dallas
Posted May 15, 2026
Benefits
- Parental leave
- 26 weeks From the posting source checked Jun 20, 2026
- Non-birth-parent leave
- 12 weeks From the posting source checked Jun 20, 2026
- Family-building benefits
-
- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
- Not verified
- Verification
- Source-linked checked May 7, 2026
- Salary
- $172K-$314K From the posting source checked Jun 20, 2026
- 401(k) match
- Reported from DOL Form 5500 industry filing (not employer-specific)
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Market context
- U.S. role benchmark (BLS OEWS)
- $116,543 U.S. median for this role
- Projected growth (BLS Employment Projections)
- +9.8% - Much faster than average
109% above the BLS role benchmark for software engineering aggregate.
Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Role
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Company
Application
- Cover letter
- Not verified
- Assessment
- Not verified
- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Staff/Sr. Software Engineer, Search Data Infrastructure - Slack Washington - Seattle; Georgia - Atlanta; Texas - Dallas *IN SCHOOL OR GRADUATED WITHIN THE LAST 12 MONTHS? PLEASE VISIT FUTURE FORCE FOR OPPORTUNITIES* About the Team Slack is seeking experienced engineers to join its Core Infrastructure organization - the team responsible for designing, developing, and maintaining the information retrieval systems that power Slack Search and a broad range of product experiences. This infrastructure sits at the heart of what makes Slack an indispensable repository of company knowledge, enabling millions of users to instantly surface messages, channels, people, files, and business-critical information across their workspaces. It's also foundational to our generative AI initiatives - helping build intelligent products grounded in the full depth of your organization's knowledge. We're looking for engineers who are passionate about pushing the boundaries of search technology, driving our systems toward greater reliability, performance, scalability, and security - and who are excited to bring the latest advances in information retrieval to a platform used by the world's best teams. Our stack is built on proven, trusted tools including Java, Go, PHP/Hack, Python, MySQL, Solr, Kubernetes, Terraform, AWS, and Linux. Deep expertise in these technologies is a strong plus, but what matters most is a track record of building and operating robust distributed systems for search - regardless of the specific language or cloud platform. We're a genuinely collaborative team that values curiosity, craft, and working closely with infrastructure engineers, ML engineers, product engineers, and product managers to deliver
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