Platform Engineer
A.I. Driven, Inc.
Boston, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Cloud Computing
Cyber Security
Continuous Integration
Disaster Recovery
Distributed Systems
Github
Monitoring of Systems
Intrusion Detection and Prevention
Python (Programming Language)
Performance Tuning
+14 more
Azure Machine Learning
Software Engineering
TypeScript
Large Language Models
Grafana
Multi-Agent Systems
Backend
Event Driven Architecture
Build Management
Kubernetes
Production Code
Terraform
Docker
Security Orchestration, Automation & Response
Job description
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., * 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.
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.
- 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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