Salesforce

AI CRM

StaffSoftwareEngineer,DataInfrastructure

$197–314k Barceloneta, Puerto Rico, United States FULL TIME
The Brief

“Staff Software Engineer, Data Infrastructure at Salesforce. Skills: Data Infrastructure, Data Engineering, Distributed Systems, Scalability, Reliability, Performance, Cost Efficiency, Observability, Python, Golang, SQL. 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. , StarRocks, Pinot, and Trino), ensuring uptime, ”

What You'll Achieve.

Scale and evolve the backbone of Slack’s data infrastructure; Accountable for uptime, reliability, and performance of multiple core data services; Deliver trusted insights and data products across Slack

Industry & Context.

AI CRM
Eligibility Requirements

U. S. Citizenship or Permanent Residency (Green Card holder), Unable to provide visa sponsorship for this role

What They're Looking For.

Must Have

U. S. Citizenship or Permanent Residency (Green Card holder), 10+ years of software, platform, or infrastructure engineering experience, including time spent supporting data-intensive systems or data platforms, Excellent communication skills and the ability to collaborate across cross-functional teams, Proven experience in building, deploying, and operating distributed infrastructure at scale, technical background with big data and infrastructure technologies — such as Pinot, StarRocks, Trino, EMR, Airflow, 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

Nice to Have

Hands-on experience supporting data pipelines or data engineering workflows is a plus

What You'll Do.

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.

, StarRocks, Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.

, Airflow, Temporal, 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, Build and enhance our observability, monitoring, and alerting on our services via Grafana and related tooling.

How You'll Work.

Team & Collaboration

Collaborate closely with data engineering, platform, and security teams to design scalable, well-governed solutions; 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

Communication Scope

Excellent communication skills; Ability to collaborate across cross-functional teams

Free ATS check

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