Software Engineering MTS

Salesforce•McLean, VA

22h•$117,200 - $194,200•Hybrid

About The Position

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The Network Visibility and Telemetry team is responsible for designing, building, and operating a set of systems and services which deliver metrics, telemetry and alerting for data center infrastructure (network, storage, etc). We are part of the Infrastructure Strategy Datacenter Operations organization, which is a dynamic, global team delivering and supporting technology infrastructure to meet the substantial growth needs of the business.

Requirements

At least 4 years of experience with supporting a codebase for distributed services implemented in modern programming languages (e.g. Clojure, Java, JavaScript, Python).
Experience with automation of systems services and processes.
Excellent analytical and problem-solving skills
A long-standing practice of using Source Control (e.g. git) and unit testing
Experience in 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, to be flexible, and to learn quickly in a dynamic environment
Excellent organizational skills including ability to prioritize tasks efficiently with high level of attention to detail
Ability to work under tight deadlines while coordinating several projects at a time and responding to changing business and technical conditions
A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
A related technical degree required.

Nice To Haves

Experience with the monitoring and alerting of network infrastructure - routers, switches, load balancers, etc. - in a high-availability, always-on datacenter environment
Experience with the monitoring and alerting of storage infrastructure - switches, arrays, etc - in a high-availability, always-on data center environment
Experience with container orchestration systems, i.e., Docker and Kubernetes
Experience with Terraform, Helm, and Spinnaker.
Strong Network Engineering Skills: SNMP, BGP, OSPF or ISIS, LAN switching technologies, backbone, load balancers, IPv4/IPv6 addressing and subnetting.
Experience with application protocols and troubleshooting for the same (i.e., HTTP, HTTPS, TCP/UDP)
Experience with application databases and document stores, e.g. Elasticsearch, Cassandra
Experience in writing systems automation in a high level language such as python.

Responsibilities

Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
This position entails participation in an on-call rotation.