Distributed Systems Software Engineer – Senior/Lead

Salesforce

. Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms such as AWS, GCP, Azure, or Alibaba .

Posted 10/27/2026full-timeUnited StatesSenior💰 $148,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in cloud infrastructure automation, resilient distributed systems, and AI integration within workflows. Proficient in Infrastructure-as-Code, microservices development, and advanced prompt engineering for AI tools.

Highest-signal resume keywords

Cloud Infrastructure AutomationInfrastructure-as-Code Using TerraformBackend Software Development In Java, Golang, Python, Or RubyAgile Development MethodologyAI Tools Integration And Prompt Engineering

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

Cloud Platforms (AWS, GCP, Azure, Alibaba)Distributed Systems Design And OperationMicroservices DevelopmentContainerization Frameworks (Kubernetes, Docker, Mesos)Open Source Technologies (Spinnaker, Zookeeper)Test Driven DevelopmentDistributed Database SystemsRelational Databases (Postgres)AI Development ToolsCritical Infrastructure Services

Soft Skills

Problem SolvingTechnical Issue ResolutionCollaboration

Tools & Technologies

TerraformClaude CodeGitHub CopilotCodexCursor

Certifications & Qualifications

Related Technical DegreeCriminal Justice Information Services Screening

Industry Keywords

U.S. CitizenshipCustomer And Government Screening StandardsLive-Site ManagementFeature DeliveryTechnical Debt Retirement

Tech Stack

Tools & technologies

AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformJavaKubernetesMicroservicesOpen SourcePostgresPythonRubySpinnakerTerraformZookeeperGo

About the role

Key responsibilities & impact

Deliver cloud infrastructure automation tools, frameworks, workflows, and validation platforms on public cloud platforms such as AWS, GCP, Azure, or Alibaba
Design, develop, debug, and operate resilient distributed systems across thousands of compute nodes in multiple data centers
Build and ship production-grade software using modern engineering practices and AI development tools
Use and contribute to open source technologies such as Spinnaker and Zookeeper
Develop Infrastructure-as-Code using Terraform
Write microservices on containerization frameworks such as Kubernetes, Docker, and Mesos
Design and orchestrate complex systems where AI agents integrate into human workflows
Contribute to the shared system context repository of system designs, constraints, and standards
Critically evaluate human- or AI-generated code for correctness, quality, security, and performance
Resolve complex technical issues and drive innovations improving system availability, resilience, and performance
Balance live-site management, feature delivery, and technical debt retirement
Participate in the team’s on-call rotation to keep services operational and highly available

Requirements

What you’ll need

Must be a U.S. Citizen operating on U.S. Soil
Ability to meet customer and government screening standards applicable to this role
Criminal Justice Information Services screening with fingerprint scan
A related technical degree required
5+ years backend software development experience
Deep knowledge of programming in Java, Golang, Python, or Ruby
Experience owning and operating multiple instances of a critical service
Experience with Agile development methodology and Test Driven Development
Experience with critical infrastructure services including monitoring, alerting, logging, and reporting applications
Experience with distributed database systems and relational databases like Postgres is a plus
Demonstrated, genuine AI-first approach to engineering
Experience using AI tools such as Claude Code, GitHub Copilot, Codex, or Cursor in development workflows
Advanced prompt engineering skills
Ability to write precise, structured prompts and cultivate system context for reliable, secure, production-ready AI outputs

Benefits

Comp & perks

Wellbeing reimbursement
Generous parental leave
Adoption assistance
Fertility benefits
Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life and disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available
Equity may be available
Reasonable accommodation during the application or recruiting process