Design, build, and operate Kineto's cloud-native platform on GCP. Implement IaC, GitOps-driven CI/CD, multi-tenant Postgres management, SRE practices (monitoring, logging, incident response), performance and cost optimizations, security controls, and lead infrastructure roadmap and cross-team mentorship.
Kineto is a next-generation platform that enables creators, educators, and small businesses to generate, deploy, and operate fully functional AI-powered web applications – instantly and at scale. It combines LLM-driven code generation, multi-tenant Postgres (Neon), dynamic hosting (GKE and Knative), automated deployments (Flux), analytics, billing, and a seamless chat-based UX to make software creation accessible to everyone. Our team is growing rapidly, and we’re now seeking an experienced Infrastructure Engineer who can design, build, and maintain our cloud-native platform, with a focus on scalability, reliability, and automated operations.
What you’ll do:Cloud and platform engineering (DevOps):- Design, implement, and manage the core infrastructure powering Kineto's platform on Google Cloud Platform (GCP), including networking, security, and identity management.
- Build and operate resilient, highly available distributed systems using Kubernetes (GKE), Knative, Istio, and related cloud-native technologies.
- Automate the entire infrastructure life cycle (IaC) using Terraform and Terragrunt, ensuring secure, reproducible, and auditable environments.
- Implement and maintain CI/CD pipelines (e.g. GitHub Actions and TeamCity) and deployment tools like Flux and Helm for GitOps-driven application delivery.
- Optimize and manage the multi-tenant data layer on Postgres and Neon, focusing on robust tenant isolation, performance, backups, and safe schema management.
- Drive site reliability engineering (SRE) practices, including monitoring, alerting (Prometheus, Grafana), logging (Loki), and incident response.
- Solve complex operational challenges, such as optimizing scale to zero for cost efficiency, minimizing cold starts, enhancing autoscaling behavior, and managing queue backpressure.
- Implement platform-wide performance tuning (e.g. container resource limits, distributed locks, caching strategies, and GC configurations).
- Ensure platform security and compliance by implementing best practices for secrets management, network segmentation, and vulnerability scanning.
- Own major infrastructure roadmap items, including multi-region deployments, disaster recovery planning, advanced tenancy separation, and ephemeral preview environments.
- Champion DevOps and SRE principles across the engineering team, mentoring engineers on cloud-native best practices, operational readiness, and debugging complex distributed systems.
- Collaborate with product and engineering teams to define the long-term vision for the platform's architecture and operational model.
- Have five or more years of experience building and operating large-scale, commercial cloud-native infrastructure, with a strong focus on DevOps/SRE practices.
- Possess deep, hands-on expertise with GCP (or AWS/Azure) and Kubernetes administration and operations (GKE experience is a strong plus).
- Are proficient with infrastructure-as-code (IaC) tools, particularly Terraform, for managing complex environments.
- Have a solid understanding of Linux internals, networking (CNI and service mesh), security, and distributed system design.
- Are familiar with CI/CD tools, GitOps (e.g. Flux), monitoring stacks (Prometheus/Grafana), and logging systems.
- Thrive in cross-functional teams and excel at communicating complex infrastructure ideas clearly.
#LI-YY1
We are an equal opportunity employer
We know great ideas can come from anyone, anywhere. That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the Recruitment Privacy Policy.
Similar Jobs
Artificial Intelligence • Productivity • Software • Automation
Lead Okta administration and SSO, build automations with Okta Workflows and Zapier, optimize SaaS spend and licensing, automate provisioning/deprovisioning via APIs, support and improve the macOS employee experience, triage IT issues, and manage SaaS tooling and reporting across the organization.
Top Skills:
1PasswordAPIsGoogle WorkspaceJIRAmacOSOktaOkta WorkflowsSlackSsoZapierZoom
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The role involves driving new business sales revenue through account planning and building relationships with C-suite executives in the Financial Services sector focused on specific banking organizations.
Top Skills:
AISaaSSales
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
The Staff AI Agent Engineer will drive customer success on the Moveworks platform, integrating AI solutions, designing architectures, and collaborating across teams to enhance product adoption.
Top Skills:
AIAPIsAutomationAws LambdasAzure FunctionsGoJavaScriptPythonRestServicenow Flow DesignerWorkato
What you need to know about the London Tech Scene
London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.
