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Staff Software Engineer, Data Infrastructure

Lead the design and operation of Slack’s distributed data infrastructure for analytics, machine learning, and AI-enabled workflows. Own core services and scale compute, orchestration, observability, and real-time analytics.

USStatele Unite ale AmericiiCACaliforniaWAWashington
197.300 $ – 344.700 $ / an
La sediuNormă întreagăLiderLimbă Obligatorie: englezăInginer de date
AirflowChefGoGrafanaKubernetesPythonSparkSQLTerraformVault

Descriere

  • Build and operate dependable data infrastructure for Slack analytics, machine learning, and data-driven decisions.
  • Own key analytics services such as Pinot and Trino.
  • Maintain the availability, reliability, and performance of Airflow, Spark on Kubernetes, EMR, and Hive Metastore.
  • Strengthen infrastructure security, cost efficiency, and developer experience.
  • Create automation and self-service tools for data workflows.
  • Partner with data engineering, platform, and security teams to deliver scalable, governed systems.
  • Improve monitoring, alerting, and observability with Grafana and related tools.
  • Set engineering practices, technical standards, and support models alongside staff and senior engineers.
  • Mentor engineers and demonstrate strong ownership, collaboration, and operational discipline.
  • Scale compute and orchestration using AI-forward, data-informed approaches.
  • Support real-time OLAP workloads.
  • Build and expand agents, AI skills, and automation for engineering and data workflows.

Cerințe

  • At least 10 years of software, platform, or infrastructure engineering experience, including work supporting data-intensive systems or platforms.
  • Demonstrated success building, deploying, and operating distributed infrastructure at scale.
  • Strong technical experience with EMR, Airflow, Pinot, Trino, Hive Metastore, Kubernetes, or comparable systems.
  • Proficiency in Python, Go, Bash, and SQL.
  • Experience with CI/CD, including GitHub Actions, as well as Vault, Terraform, Chef, and Grafana.
  • Strong grasp of infrastructure reliability, observability, and cost management.
  • Practical experience supporting data pipelines or data engineering workflows is an advantage.
  • Hands-on experience building and integrating agent-based workflows, custom AI skills, automated software factory pipelines, and MCP.
  • Bachelor’s degree in computer science, engineering, or equivalent practical experience.
  • Ability to work effectively across cross-functional teams.
  • Strong ownership and a track record of delivering high-impact work independently.

Beneficii

  • Time off programs
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Mental health support
  • Paid parental leave
  • Life insurance
  • Disability insurance
  • 401(k)
  • Employee stock purchasing program
  • Incentive compensation may be offered for eligible roles.
  • Equity may be offered for eligible roles.

Locuri de muncă similare

Ohio State University Physicians

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Ohio State University Physicians
1.001 – 5.000 Angajați
Asigurare de sănătateAsistență medicalăNonprofit
USStatele Unite ale AmericiiOHOhio
19 $ – 29 $ / oră
RemoteNormă întreagăJuniorNivel mediuLimbă Obligatorie: englezăConsilier

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