Software Engineer – MTS

Salesforce

Software Engineer (MTS) building and operating core platform services with Kubernetes at Salesforce. Collaborating on multi-cloud infrastructure while leveraging AI technologies.

Posted 6/16/2026full-timeRedwood City • California • 🇺🇸 United StatesJunior💰 $117,200 - $176,700 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudFluxGoGoogle Cloud PlatformKubernetesPythonTerraform

About the role

Key responsibilities & impact

Build and maintain platform services and automation in Go and Python that help manage Kubernetes clusters across AWS, Azure, GCP, and OCI.
Contribute to continuous deployment pipelines using GitOps tooling (Flux, Argo CD) and infrastructure-as-code frameworks (Pulumi, Terraform) to enable safe, repeatable releases.
Take part in fleet initiatives such as cluster lifecycle automation, upgrades, policy enforcement, and observability improvements, with guidance from senior engineers.
Partner with SRE, security, and product engineering teams to understand their needs and help deliver self-service platform capabilities that reduce toil.
Be an AI amplifier: use AI tooling in your everyday engineering workflows — agentic coding assistants (e.g., Claude Code) for development, code review, automation, and operational runbooks — to force-multiply your output as you ramp.
Develop an agentic mindset: learn to spot repetitive operational work and propose agent-driven or AI-augmented automations that reduce manual effort.
Participate in design reviews and code reviews, write clear technical documentation, and grow your platform and cloud-native expertise.
Join on-call rotations as you ramp and help improve the operational posture of the platform through automation and post-incident learning.

Requirements

What you’ll need

1+ years of professional experience in cloud infrastructure engineering and continuous deployment.
Hands-on Kubernetes experience — deploying, troubleshooting, and automating workloads or clusters (networking, scaling, upgrades).
Good programming skills in Golang and/or Python, with experience building services, CLIs, or automation tooling.
Multi-cloud exposure, primarily AWS, with a working understanding of core compute, networking, IAM, and managed Kubernetes services.
Familiarity with GitOps using Flux or Argo CD, and infrastructure-as-code with Pulumi (or comparable tooling such as Terraform).
Demonstrated AI literacy and an emerging agentic mindset — you actively use AI tools in your daily engineering work (code generation, debugging, documentation, automation) and can speak to how AI has amplified your output.
Strong communication and collaboration skills, and an eagerness to learn and grow within a fast-moving platform team.

Benefits

Comp & perks

time off programs
medical
dental
vision
mental health support
paid parental leave
life and disability insurance
401(k)
employee stock purchasing program

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

GoPythonKubernetesGitOpsFluxArgo CDPulumiTerraformcloud infrastructure engineeringcontinuous deployment

Soft Skills

communicationcollaborationeagerness to learnagentic mindsetAI literacy