Staff Software Engineer, Data Infrastructure

Salesforce

. Design, build, and operate reliable, scalable data infrastructure powering Slack’s analytics, ML, and data-driven decision-making .

Posted 10/13/2026full-timeUnited StatesLead💰 $197,300 - $313,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating scalable data infrastructure, with a strong focus on reliability, observability, and cost efficiency. Proficient in collaborating with cross-functional teams to drive improvements and implement best practices in data workflows and analytics.

Highest-signal resume keywords

10+ Years Of Software Engineering ExperienceProficiency In Python, Golang, Bash, And SQLExperience With EMR, Airflow, Pinot, Trino, And KubernetesCI/CD Proficiency With GitHub Actions, Vault, And TerraformStrong Understanding Of Infrastructure Reliability And Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonGolangBashSQLEMRAirflowPinotTrinoKubernetesCI/CD

Soft Skills

CollaborationOwnershipMentoringCoaching

Tools & Technologies

GrafanaVaultTerraformChef

Certifications & Qualifications

Bachelor’s Degree In Computer Science

Industry Keywords

Data InfrastructureData EngineeringDistributed InfrastructureObservabilityCost Efficiency

Tech Stack

Tools & technologies

AirflowChefGrafanaKubernetesPythonSparkSQLTerraformVaultGo

About the role

Key responsibilities & impact

Design, build, and operate reliable, scalable data infrastructure powering Slack’s analytics, ML, and data-driven decision-making
Serve as DRI for multiple core analytics data services, including Pinot and Trino
Ensure uptime and reliability of compute and orchestration services, including Airflow, Spark on Kubernetes, EMR, and Hive Metastore
Drive improvements in security, cost efficiency, and developer experience
Build automation and self-service tools for data workflows
Collaborate with data engineering, platform, and security teams on scalable, governed solutions
Build and enhance observability, monitoring, and alerting using Grafana and related tooling
Define best practices, technical standards, and support models with staff and senior engineers
Mentor and coach other engineers
Scale compute and orchestration layers with an AI-forward, data-driven approach
Enable real-time OLAP capabilities
Create and scale agents, AI skills, and automation for engineering and data workflows

Requirements

What you’ll need

10+ years of software, platform, or infrastructure engineering experience, including experience supporting data-intensive systems or data platforms
Proven experience 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
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
Ability to collaborate across cross-functional teams
Strong sense of ownership and ability to deliver high-impact, autonomous results

Benefits

Comp & perks

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 available for eligible roles
Equity may be available for eligible roles