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Salesforce

Database Engineering Associate

Salesforce

. Improve performance, scalability, and resilience in a large-scale platform .

Posted 10/14/2026full-timeUnited StatesJuniorMid-Level💰 $111,000 - $122,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in database engineering, cloud infrastructure management, and system reliability, with a strong focus on performance optimization and incident resolution. Proficient in Python, AWS, and RDBMS, with hands-on experience in deploying distributed applications using containers and orchestration platforms.

Highest-signal resume keywords
Python ProgrammingAmazon Web Services (AWS)Relational Database Management Systems (RDBMS)Database EngineeringIncident Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Database AutomationRoot Cause AnalysisDebuggingCapacity ManagementData MigrationLinux System EngineeringScriptingContainer DeploymentPredictive AnalysisCloud Infrastructure Improvements
Soft Skills
CollaborationProblem-SolvingCommunication
Tools & Technologies
DockerKubernetesSplunkELK StackGrafanaPrometheusPostgreSQL
Certifications & Qualifications
Minimum Background Investigation (MBI)Criminal Justice Information Services Screening
Industry Keywords
Production DatabasesGovernment Cloud24/7 On-Call RotationCybersecurity FundamentalsAI Tools

Tech Stack

Tools & technologies
AWSCloudCyber SecurityDockerGrafanaKubernetesLinuxNoSQLPostgresPrometheusPythonRDBMSSplunkGo

About the role

Key responsibilities & impact
  • Improve performance, scalability, and resilience in a large-scale platform
  • Implement functional and system tests for database quality
  • Debug, conduct root cause analysis, and diagnose defects
  • Participate in database automation and feature enhancement on premises and in public cloud platforms
  • Take responsibility for the availability and reliability of production databases
  • Work with Engineering teams to triage issues
  • Define, develop, and deploy system monitoring requirements, thresholds, and corrective actions
  • Improve system reliability through predictive analysis
  • Collaborate with stakeholders and provide detailed feedback on resiliency initiatives
  • Participate in production Incident Management and Escalation Management calls and drive incidents to resolution
  • Provide technical and platform support to customers and stakeholders using production systems
  • Deliver scalable data migration, capacity management, and cloud infrastructure improvements for government cloud customers

Requirements

What you’ll need
  • Strong background in Computer Science or a related technical field
  • Located in North America
  • Python, Amazon Web Services (AWS), and Relational Database Management Systems (RDBMS) skills
  • 0-2 years of experience deploying distributed applications using containers (Docker) and orchestration platforms (Kubernetes, EKS, GKE)
  • 0-2 years of hands-on AWS experience, including building and operating production-grade infrastructure
  • 0-2 years of database engineering experience (relational, NoSQL, or both)
  • 0-2 years of Linux system engineering experience
  • 0-2 years of scripting or programming experience in Shell, Python, and/or Golang
  • Willing and ready to participate in a 24/7 on-call rotation
  • U.S. citizen (U.S. born or naturalized) operating on U.S. soil
  • Must not hold dual citizenship
  • Ability to meet customer and government screening standards, including a Criminal Justice Information Services screening with fingerprint scan
  • Must complete a Minimum Background Investigation (MBI) for a Moderate Public Trust position and gain other clearances as deemed appropriate
  • Practical experience using AI tools, such as AI coding assistants or generative AI, is an advantage
  • Experience with Splunk or the ELK stack is an advantage
  • Experience with Kubernetes is an advantage
  • Cybersecurity fundamentals are an advantage
  • Experience with PostgreSQL is an advantage
  • Experience with monitoring tools such as Grafana or Prometheus is an advantage

Benefits

Comp & perks
  • Job shadowing
  • Mentorship programs
  • Talent development courses
  • 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
  • Equity may be available
  • Reasonable accommodations during the application or recruiting process