Senior Platform Engineer, Growth Product Engineering

Samsara • Remote - CA, CA

1d • $131,792 - $199,350 • Remote

About The Position

Samsara is seeking a Senior Platform Engineer to join the Growth Product & Engineering team. This role will own the platform that growth and marketing teams build on, focusing on infrastructure, security, and tooling to increase engineering velocity, especially with the push towards AI-assisted and agentic development. The position involves designing CI/CD pipelines, migrating AWS resources to Infrastructure as Code, isolating workloads, centralizing logging and monitoring, and providing self-service infrastructure. The tech stack includes Python, JavaScript (Vue), AWS, and GitHub Actions, with a growing use of serverless, container-based services, and internally hosted applications. The core principle is to ensure the pipeline acts as a safety net for AI-generated code, which is a prerequisite for scaling AI-assisted development safely and improving engineering velocity.

Requirements

• 6+ years of professional software, infrastructure, DevOps, platform, or site reliability engineering experience.
• Hands-on AWS production experience (IAM, Lambda, networking, and multi-account organizations) with Infrastructure as Code such as Terraform, AWS CDK, or CloudFormation.
• Designed and operated CI/CD pipelines (GitHub Actions, buildkite) with automated testing, static analysis, coverage enforcement, and deployment gates, plus safe release patterns such as blue/green, canary, feature flags, and reliable rollbacks.
• Strong Python development experience across services, tooling, and automation, working familiarity with JavaScript-based stacks, and experience with containerization and orchestration (Docker with ECS, EKS, or Kubernetes).
• Cloud security posture management (CSPM) or experience with tools like Wiz, semgrep, synk.
• Experience building observability into distributed systems: centralized logging, metrics, tracing, and alerting (e.g., Sentry, Datadog, CloudWatch, or Grafana).
• Track record of designing, building, and operating production infrastructure end to end with measurable gains in reliability, security, or developer velocity, using AI-powered development tools (e.g., Claude, Cursor, Codex, or Copilot) in a daily workflow.
• Experience with product and feature development: building and shipping customer-facing product features, not just internal platform and infrastructure work.

Nice To Haves

• Experience building the guardrails that make AI or agent-generated code safe to merge and deploy: mutation testing, coverage enforcement, ephemeral preview environments, or automated rollback.
• A developer experience or platform engineering background, with a track record of paved-path tooling that other engineers actually adopt.
• Familiarity with cloud cost management, performance regression detection, capacity planning, and disaster recovery plans rehearsed against measured RTO and RPO targets.
• Exposure to localization pipelines and to GTM or data tooling such as Salesforce, Contentful, Hightouch, or Databricks, plus an experiment-driven approach to adopting emerging AI technologies.
• Experience with Service Level Indicators (SLIs) and Service Level Objectives (SLOs) as the foundation for observability in our system.
• Own our operational review process and always look for ways to make it better.

Responsibilities

• Own the CI/CD foundation for AI-assisted and agentic development, including pipeline gates, test coverage, security scans, performance and cost regression guards, and progressive delivery with automated rollback.
• Provide engineers with a fast, safe inner loop using ephemeral per-PR environments and local tooling, including isolated databases seeded from realistic data.
• Build centralized logging, monitoring, and alerting across the AWS footprint to ensure visibility and automatic rollback of bad deployments.
• Lead security engineering, including vulnerability remediation, establishing secure-by-default patterns, and automating code scanning, secrets management, and access control.
• Migrate hand-built AWS resources to Infrastructure as Code, separate production and pre-production accounts, and establish tested backup and disaster recovery with clear RTO and RPO targets.
• Build paved-path, self-service tooling and standardized release strategies (blue/green, canary, feature-flag), while mentoring engineers and role-modeling Samsara’s cultural principles.
• Build and operate AI agents for SRE work, such as automated alert triage, incident investigation, and self-healing remediation.
• Contribute to backend development for products, assisting with backend cloud services and shipping customer-facing features alongside platform work.
• Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team).

Benefits

• Flexible, employee-led remote model
• Professional development stipend
• Comprehensive health and parental leave plans
• Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles)
• Meaningful differentiation in pay for top performers
• Initial RSU grant with no vesting cliff
• Ongoing refresh opportunities tied to performance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed