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Salary: USD 180,000 - 240,000 / annual
Gradial is an AI-native system of work for enterprise marketing, building intelligent agents that execute campaigns across enterprise tools and workflows. The company is Series C-funded ($65M led by Insight Partners) and serves Fortune 500 customers including AWS, T-Mobile, and Prudential.
You will serve as a technical leader for Gradial's platform infrastructure and systems. This is a highly hands-on individual contributor role with significant technical leadership responsibility. You'll work closely with the CTO and engineering team to identify high-leverage platform investments, make key architectural decisions, and lead their execution. Your focus will be setting the direction for platform engineering at Gradial while building systems that make every engineer more effective.
Key responsibilities include:
- Lead technical direction across infrastructure, reliability, developer experience, security, performance and cost
- Own reliability, scalability and operational health of production platform
- Lead major platform initiatives from problem definition through hands-on implementation
- Evolve Kubernetes, CI/CD, observability and infrastructure-as-code foundations as the organization scales
- Build tooling, abstractions and automation to improve developer velocity and operational efficiency
- Set engineering standards for reliability, service readiness, deployment and operational ownership
- Drive improvements in monitoring, alerting, incident response and observability
- Partner across the company to identify infrastructure bottlenecks and scaling risks before they become constraints
- Provide technical leadership through architecture reviews, design collaboration and mentorship
Requirements:
- 8+ years of professional software engineering experience with significant platform engineering, infrastructure, SRE, or DevOps background
- Proven ability to lead complex platform initiatives while remaining deeply hands-on in implementation
- Deep expertise in Kubernetes, cloud-native architecture, container orchestration and production infrastructure
- Strong experience with infrastructure as code, GitOps, CI/CD workflows and modern deployment practices
- Strong command of observability and reliability fundamentals (metrics, logging, tracing, alerting, incident response)
- Experience designing and operating production infrastructure for rapidly growing products and teams
- Ability to identify highest-leverage platform problems, establish technical direction and drive execution
- Strong technical judgment with track record of pragmatic architectural decisions around reliability, scalability, performance and cost
- Ability to lead through influence, create alignment and raise technical bar without formal authority
Nice to have:
- Experience with AI/ML infrastructure (GPU provisioning, model deployment, compute-intensive workloads)
- Experience supporting cloud or multi-cloud environments with demanding reliability and scaling requirements
- Proficiency with TypeScript or Python for internal tooling and operational automation
