LandOffer
Senior/Staff Software Engineer, Data Infrastructure
Job details
- Employment
- Full-time
- Level
- Staff / principal
- Experience
- 10+ years
- Education
- Bachelor's degree
- Posted
- Oct 13, 2026
- Last confirmed open
- Nov 5, 2026
What you'll need to apply
Fields this application requires
Company-specific questions
- Do you have the unrestricted right to work in the country to which you're applying? (You must answer “No” if you are on any visa or possess any government issued work authorization document that has an expiration date; you should answer “Yes” if you have DACA or TPS authorization in the US)
- Government Employment: In the last 5 years, have you been an employee of a U.S. federal, state, or local government, including a "special Government employee" (defined under 18 U.S.C. §202), or a member of the U.S. Armed Services (including Reserve and Guard components)?
- I attest/confirm that I have no post-government employment restrictions currently applicable to me that have not already been addressed or disclosed in the previous questions, OR that if I am aware of any applicable restrictions, I will disclose them to the recruiter if contacted for further processing of my application. If I received written advice from my current or former government employer about work restrictions that are still active, I will provide it to the recruiter if contacted for further processing of my application.
- Are you currently or have you in the past been debarred, suspended, proposed for debarment or declared ineligible for award of a contract by any federal agency?
- As a U.S. company that exports software and technology internationally, we must comply with U.S. export control laws in every country where we operate. The information provided will be used to determine whether we need to obtain an Export Control License for your employment if you are hired. Are you a citizen, national or permanent resident of Iran, Cuba, North Korea or Syria?
- Regarding future positions at Salesforce, please select one of the following options
- I acknowledge that I have read, reviewed and answered the above questions truthfully and accurately. I further understand, and agree, that any offer of employment I may receive from Salesforce is conditional on the truth of the above statements and that, in the event it is subsequently determined that any of the above is inaccurate, any such offer of employment can be rescinded and, in the event I have commenced employment, such employment will be terminated, to the extent permitted by applicable law. Please select "yes" if you acknowledge.
About this role
The Experience
Slack is looking for a Senior and Staff Software Engineer to join the Data Infrastructure team within the broader Data Engineering organization. The mission of our team is to build secure, reliable, performant, scalable, and cost-efficient infrastructure with an AI-forward approach 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 and mentorship-driven leadership to scale, and evolve the backbone of Slack’s data infrastructure.
What You’ll Actually Be Doing
You’ll play a key role in the design, development, and operation of services that underpin data ingestion, transformation, storage, compute and orchestration at a massive scale. As a Staff Engineer, you’ll be a Directly Responsible Individual (DRI) for multiple core data services, accountable for uptime, reliability, and performance, and a subject matter expert (SME) across multiple systems.
Here are a few examples of what we work on:
- Scaling our compute and orchestration layer with an AI-forward and data driven approach.
- Enabling more realtime OLAP capabilities for internal and external customers
- Creating and scaling agents, AI skills, and automation 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 multiple core data services specifically on our analytics infrastructure (e.g. Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.g., Airflow, Spark on Kubernetes, EMR, Hive Metastore).
- Drive improvements in security, cost efficiency, and developer experience across our data infrastructure.
- Build automation and self-service tools that empower our team and other data teams to easily adopt and manage data workflows.
- Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions.
- Build and enhance our observability, monitoring, and alerting on our services via Grafana and related tooling.
- Partner with other staff and 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.
You’re Our Person If...:
- 10+ years of software, platform, or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms.
- First-class communication skills and the ability to collaborate across cross-functional teams.
- 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, Trino, Hive Metastore, Kubernetes, or equivalent systems.
- Proficiency in Python, Golang, Bash, and SQL.
- Proficiency 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.
- A strong sense of ownership and a drive to deliver high-impact, autonomous results.
Even Better If...:
- Hands-on experience building, managing, and integrating agentic workflows, custom AI skills, automated software factory pipelines, MCP
- 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.