Across-AI
San Francisco, CA - Hybrid / Onsite Preferred (3 days a week)
Full-time
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 Our Commitment to You Flexible, part-time hours
(20-30 hrs/week to start) Competitive hourly rate Potential to convert to a full-time salaried role
with equity as we scale Hybrid preferred (San Francisco), but open to remote for the right candidateramming 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.
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 Our Commitment to You Flexible, part-time hours
(20-30 hrs/week to start) Competitive hourly rate Potential to convert to a full-time salaried role
with equity as we scale Hybrid preferred (San Francisco), but open to remote for the right candidateramming 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.