Staff Software Engineer, Data Infrastructure

Salesforce

. Design, build, and operate reliable, scalable data infrastructure for Slack analytics, machine learning, and data-driven decision-making .

Posted 10/13/2026full-timeUnited StatesLead💰 $197,300 - $344,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and operating scalable data infrastructure, with a strong focus on reliability, observability, and automation. Proficient in collaborating with cross-functional teams to enhance data workflows and implement best practices in data engineering.

Highest-signal resume keywords

10+ Years of Software Engineering ExperienceProficiency in Python, Golang, Bash, and SQLStrong Technical Background with EMR, Airflow, Pinot, and TrinoExperience with CI/CD (GitHub Actions), Vault, and TerraformAbility to Collaborate Across Cross-Functional Teams

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringInfrastructure EngineeringData Pipeline SupportDistributed Infrastructure DeploymentAutomation for Data Workflows

Soft Skills

OwnershipCollaborationMentoringCoachingOperational Excellence

Tools & Technologies

AirflowSpark on KubernetesEMRHive MetastoreGrafana

Certifications & Qualifications

Bachelor's Degree in Computer ScienceBachelor's Degree in Engineering

Industry Keywords

Data InfrastructureData-Driven Decision-MakingObservabilityCost EfficiencyReal-Time OLAP

Tech Stack

Tools & technologies

AirflowChefGrafanaKubernetesPythonSparkSQLTerraformVaultGo

About the role

Key responsibilities & impact

Design, build, and operate reliable, scalable data infrastructure for Slack analytics, machine learning, and data-driven decision-making
Serve as Directly Responsible Individual for multiple core analytics data services, including Pinot and Trino
Ensure uptime, reliability, and performance of compute and orchestration services including Airflow, Spark on Kubernetes, EMR, and Hive Metastore
Improve security, cost efficiency, and developer experience across data infrastructure
Build automation and self-service tools for data workflows
Collaborate with data engineering, platform, and security teams on scalable, governed solutions
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 engineers while modeling ownership, collaboration, and operational excellence
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 time supporting data-intensive systems or data platforms
Proven experience building, deploying, and operating distributed infrastructure at scale
Strong technical background with 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, and MCP
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
Ability to collaborate across cross-functional teams
Strong 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