Software Engineer – MTS

Salesforce

. Design, build, and operate systems and services delivering metrics, telemetry, and alerting for data center infrastructure .

Posted 10/5/2026full-timeUnited StatesMid-LevelSenior💰 $117,200 - $176,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in designing and automating systems for data center infrastructure, with a strong focus on AI integration and high-quality software development. Proficient in monitoring, alerting, and ensuring the reliability of distributed services in dynamic environments.

Highest-signal resume keywords

Clojure ProgrammingPython ProgrammingCI/CD with JenkinsConfiguration Automation with AnsibleAI Tools Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Java ProgrammingJavaScript ProgrammingREST API DevelopmentDockerKubernetesTerraformHelmSpinnakerNetwork EngineeringSystems Automation

Soft Skills

Analytical SkillsProblem-Solving SkillsOrganizational SkillsAttention to DetailAdaptability

Tools & Technologies

GitLinux (RedHat)Monitoring ToolsAlerting ToolsElasticsearchCassandra

Certifications & Qualifications

Related Technical Degree

Industry Keywords

Data Center InfrastructureHigh-Availability SystemsTelemetryAI DevelopmentDistributed Services

Tech Stack

Tools & technologies

AnsibleCassandraChefClojureDockerElasticSearchJavaJavaScriptJenkinsKubernetesLinuxPuppetPythonSpinnakerSwitchingTerraform

About the role

Key responsibilities & impact

Design, build, and operate systems and services delivering metrics, telemetry, and alerting for data center infrastructure
Automate systems services across storage, network, and server infrastructure
Enable collection of infrastructure telemetry and make infrastructure visible and accessible
Ensure alerts are generated where action is needed
Build and ship high-quality, production-grade software using modern engineering practices and AI development tools
Design and orchestrate complex systems where AI agents integrate into human workflows
Critically evaluate human- and AI-generated code for correctness, quality, security, and performance
Contribute to the shared system context repository containing system designs, constraints, and standards
Participate in an on-call rotation

Requirements

What you’ll need

At least 4 years of experience supporting a codebase for distributed services implemented in modern programming languages such as Clojure, Java, JavaScript, or Python
Experience automating systems services and processes
Excellent analytical and problem-solving skills
Long-standing practice using source control such as Git and unit testing
Experience publishing and consuming REST APIs
CI/CD experience with Jenkins
Knowledge of Linux (RedHat), including configuration, packages, services, daemons, shells, and troubleshooting
Experience with configuration automation tools such as Ansible, Puppet, and/or Chef
Experience in fast-paced, technical environments experiencing rapid growth and change
Ability to adapt, be flexible, and learn quickly in a dynamic environment
Excellent organizational skills and ability to prioritize tasks efficiently with high attention to detail
Ability to work under tight deadlines while coordinating several projects and responding to changing business and technical conditions
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 and ability to write precise, structured prompts and cultivate system context for reliable, secure, production-ready AI outputs
Related technical degree required
Experience with monitoring and alerting of network infrastructure in a high-availability, always-on datacenter environment
Experience with monitoring and alerting of storage infrastructure in a high-availability, always-on data center environment
Experience with Docker and Kubernetes
Experience with Terraform, Helm, and Spinnaker
Strong network engineering skills, including SNMP, BGP, OSPF or ISIS, LAN switching technologies, backbone, load balancers, and IPv4/IPv6 addressing and subnetting
Experience with application protocols such as HTTP, HTTPS, and TCP/UDP and troubleshooting them
Experience with application databases and document stores such as Elasticsearch and Cassandra
Experience writing systems automation in a high-level language such as Python

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 certain roles
Equity may be available for certain roles
Reasonable accommodations during the application or recruiting process