Staff/Senior Software Engineer, Data Infrastructure

Staff/Senior Software Engineer, Data Infrastructure

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 Slacks 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 workflowsfrom batch and streaming ingestion to real?time analytics and orchestration. Were looking for strong technical leaders who can combine hands?on expertise with strategic impact, helping to scale and evolve the backbone of Slacks data infrastructure as we grow.

Youll 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, youll 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.

What You Will Be Doing

• Design, build, and operate reliable and scalable data infrastructure powering Slacks analytics, ML, and data?driven decision?making.
• Serve as DRI for 12 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 Slacks 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 technologiessuch 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.
• Bachelors degree in Computer Science, Engineering, or equivalent practical experience.
  

What We Value

Slack has a positive, diverse, and supportive culturewe 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, andabove allcollaborative.

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. We believe in equality for all and creating a workplace thats inclusive and free from discrimination. 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.

In the United States, compensation offered will be determined by factors such as location, job level, job related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at https://www.salesforcebenefits.com. 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 $184,000 to $306,600. For California-based roles, the base salary hiring range for this position is $200,800 to $334,600.

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