Seven AI
Senior Platform Engineer
Boston, MA · Senior
Sponsorship not specifiedDetected 77 days ago
Distributed SystemsGitAWSDockerKubernetesTerraformCI/CDGrafanaMachine LearningLLMs
About the role
- As a Senior Platform Engineer, you'll be at the heart of our infrastructure - designing, building, and scaling the core platform that powers our AI-driven security products. You'll collaborate closely with our AI, backend, and product teams to ensure our systems are performant, stable, reliable, and secure.
- You'll own key pieces of our cloud and service platform, automate everything you can, and continuously improve how we deliver, monitor, and scale mission-critical applications. If you're passionate about building scalable, reliable infrastructure and enabling teams to deliver faster and with confidence, this is the role for you.
Responsibilities
- Design and build scalable, secure, and high-performance infrastructure for our AI-native platform.
- Own AWS region expansion, harden the system for compliance, and improve elasticity, disaster recovery, and high-availability features.
- Develop tooling, services, and automation, including runbook automation and AI-assisted developer workflows, to improve platform reliability and developer experience.
- Partner with AI and backend engineers to streamline deployment, CI/CD, observability, and performance optimization.
- Drive initiatives around infrastructure-as-code, container orchestration, and operational excellence to reduce toil and enhance incident response.
- Experience building observability and monitoring systems leveraging tools such as the full Grafana stack.
Requirements
- 5+ years of experience in Platform, DevOps, or Software Engineering roles.
- Experience working closely in and with development teams, and proven ability to change production code.
- Deep experience with AWS cloud infrastructure.
- Expertise with Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.
- Strong understanding of distributed systems, networking, and security fundamentals.
Nice to have
- Experience with AI/ML platforms or data-intensive systems.
- Knowledge of agent frameworks, LLM orchestration, or event-driven architectures.
- Familiarity with SOC operations, threat detection, or security automation tools.
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This listing is sourced directly from Seven AI's careers page and normalized into a canonical job model.