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Senior Platform Engineer

7AI

Boston, MAFull-timeNo compensation foundPosted 8mo agoVerified open 3 days ago
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At a glance

Compensation
No compensation found
Location
Boston, MA
Schedule
Full-time
Work Authorization
Not specified

Job overview

7AI is hiring a Senior Platform Engineer. As a Senior Platform Engineer, you will design, build, and scale the core platform for AI-driven security products. You will collaborate with AI, backend, and product teams to ensure systems are performant, stable, reliable, and secure. This role involves owning key pieces of the cloud and service platform, automating processes, and continuously improving delivery, monitoring, and scaling of mission-critical applications.

Key focus areas include Design and build scalable, secure, and high-performance infrastructure for the AI-native platform, Own AWS region expansion, harden the system for compliance, and improve elasticity, disaster recovery, and high-availability features, and Develop tooling, services, and automation, including runbook automation and AI-assisted developer workflows, to improve platform reliability and developer experience.

Successful candidates bring 5+ Years Platform DevOps Or Software Engineering Experience. Important skills include Python, TypeScript, AWS Cloud Infrastructure, Kubernetes, Docker, and Terraform. Preferred (not required): Automation, AI/ML Platforms, Data-Intensive Systems, and Agent Frameworks.

Skills & qualifications

RequiredNice to have

Skills

PythonTypeScriptAWS Cloud InfrastructureKubernetesDockerTerraformGitHub ActionsGrafana StackDeveloper ExperienceAutomationHigh-Scale SystemsDistributed SystemsNetworkingSecurity FundamentalsAI/ML PlatformsData-Intensive SystemsAgent FrameworksLLM OrchestrationEvent-Driven ArchitecturesSOC OperationsThreat Detection

Qualifications

5+ Years Platform Experience5+ Years DevOps Experience5+ Years Software Engineering ExperienceAbility to Change Production Code

Full job description

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.

What You’ll Do

  • 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.

What We’re Looking For

  • 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.

  • Strong software development skills (Python, TypeScript, or similar).

  • Deep experience with AWS cloud infrastructure.

  • Expertise with Kubernetes, Docker, Terraform, and modern CI/CD systems such as GitHub Actions.

  • Experience building observability and monitoring systems leveraging tools such as the full Grafana stack.

  • Passion for developer experience, automation, and high-scale systems.

  • Strong understanding of distributed systems, networking, and security fundamentals.

  • Curiosity and drive to work at the intersection of AI and cybersecurity.

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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