Staff Software Engineer, Data InfrastructureDormont Manufacturing Company • San Francisco, California, United States
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Staff Software Engineer, Data Infrastructure
Dormont Manufacturing Company
- San Francisco, California, United States
- San Francisco, California, United States
À propos
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.
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 multiple core data services specifically on our analytics infrastructure (e.g., StarRocks, Pinot, and Trino), ensuring uptime, reliability, and our compute and orchestration services (e.g., 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.
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.
Eligibility U.S. Citizenship or Permanent Residency (Green Card holder). We are unable to provide visa sponsorship for this role.
What you should have:
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.
Strong 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.
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.
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.
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), employee stock purchasing program, and other perks. Compensation ranges from $197,300 to $313,700 annually, with certain roles eligible for incentive compensation, equity, and additional benefits. Salary varies by location, job level, and experience.
Equal Employment Opportunity Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. No employee or potential employee will be assessed on the basis of race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, or other classifications protected by law. Recruiting, hiring, and promotion decisions are fair and based on merit. Compensation, benefits, promotions, transfers, and all employment decisions are merit‑based.
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Compétences linguistiques
- English
Avis aux utilisateurs
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