Lead Platform Engineer
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Head of Software Engineering @ Across AI | Agentic AI | Platform | Data | Product Security | Frontend San Francisco, CA – Hybrid / Onsite Preferred (3 days a week)
About the Role
We’re looking for a hands-on Lead Platform Engineer to shape and scale the foundation of our AI-driven enterprise platform. You’ll be the technical backbone of our infrastructure efforts — working across backend systems, Kubernetes-based deployments, CI/CD pipelines, and secure customer rollout processes including on-prem environments.
This role is perfect for someone who thrives at the intersection of infrastructure, backend development, systems design, and DevOps — and wants to make a real impact in a fast-moving, high-ownership startup environment.
What You’ll Do
Own and evolve our platform’s core infrastructure , spanning stateful systems (Postgres, Redis, object storage) and stateless microservices (APIs, async workers)
Design and operate Kubernetes infrastructure , including Helm-based deployments, autoscaling, resource tuning, and service mesh integrations
Implement Infrastructure as Code using Terraform, Pulumi, or similar tools to ensure reproducible, secure, and scalable infrastructure provisioning
Build CI/CD pipelines that support safe, observable, and automated releases — integrating static/dynamic code analysis (SAST, DAST) and security gates
Set up and maintain observability tooling , including metrics, logs, and traces (e.g., Prometheus, Grafana, Loki, FluentBit)
Support on-prem and hybrid deployments with enterprise customers — working directly with customer teams to package and operationalize our platform securely
Integrate and operate queuing and caching systems , such as Kafka, RabbitMQ, and Redis, to support high-throughput systems
Collaborate across teams to define platform interfaces, review designs, mentor teammates, and deliver technical clarity on complex problems
What We’re Looking For
6+ years of experience in backend or infrastructure engineering roles
Strong programming skills in Go , Python , or Rust
Expertise with Kubernetes , Helm, and containerized architecture at scale
Deep understanding of running stateful systems (PostgreSQL, Redis, object storage) alongside stateless microservices
Familiarity with CI/CD tooling like GitHub Actions, ArgoCD, CircleCI, and secure build practices
Proficiency with Infrastructure as Code tools like Terraform or Pulumi
Experience deploying and managing queues (Kafka, RabbitMQ) and caches (Redis, Memcached)
Comfort working directly with enterprise customers and navigating on-prem/air-gapped deployment environments
Excellent communication and cross-functional collaboration skills
Bonus Experience
Operating in air-gapped or restricted networks using secure Kubernetes configurations
Deep understanding of networking, TLS termination, DNS, service meshes
Contributions to open-source infrastructure tooling
Familiarity with Zero Trust principles , OAuth2/RBAC, and compliance-grade infrastructure (SOC2, ISO27001)
Why Join Us?
This is a foundational role where you'll help define our platform’s technical DNA. Expect autonomy, deep technical impact, and the chance to work alongside a highly experienced, mission-driven team solving real problems for enterprise AI adoption.
Our Commitment to You
At Across AI, we’re committed to supporting our team with comprehensive rewards and benefits designed to meet diverse needs across roles and locations. Our core offerings include:
Flexible Time Off – Take the time you need to recharge.
Health and Dental Insurance – Where applicable, to cover you and your loved ones.
Compensation and Benefits – Competitive compensation includes salary and stock options.
Seniority level Seniority level Mid-Senior level
Employment type Employment type Full-time
Job function Job function Engineering and Information Technology
Industries Technology, Information and Internet
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- Location:
- San Francisco, CA, United States
- Salary:
- $200,000 - $250,000
- Job Type:
- FullTime
- Category:
- IT & Technology