1 день назад
Senior Software Engineer, Infrastructure - Python & Kubernetes
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer, Infrastructure - Python & Kubernetes (AI infrastructure): Building reliable, secure, and scalable core infrastructure across AWS, GCP, Azure, and on-premises environments with an accent on Kubernetes, Terraform, Crossplane, secrets management, networking, and GPU workloads. Focus on designing multi-tenant architectures, automating infrastructure lifecycle operations, and solving complex reliability, isolation, and distributed-systems challenges.
Location: London, hybrid; regular time in the Shoreditch office with work-from-home days
Company
is a physics AI company building simulation software for industrial engineering and manufacturing, serving aerospace and defence, automotive, semiconductors, materials, and energy and renewables.
What you will do
- Design and operate core infrastructure across AWS, GCP, Azure, and on-premises environments using Terraform and Crossplane.
- Architect and manage Kubernetes clusters for single-tenant and multi-tenant workloads, focusing on isolation, performance, and reliability.
- Build secrets management, dynamic provisioning, rotation, cluster identity integration, and fine-grained access controls.
- Manage GPU drivers and accelerated compute node pools for AI and simulation workloads.
- Design cluster networking with CNI, Istio, ingress, cross-cluster connectivity, and vCluster-based multi-tenancy.
- Establish SLOs, respond to production incidents, develop Kubernetes Operators or controllers, and enforce governance and compliance controls.
Requirements
- At least 5 years of professional experience operating Kubernetes in production, including cluster architecture, scheduling, networking, storage, and API lifecycle.
- Hands-on production experience with Crossplane compositions, providers, managed resources, Terraform at scale, and multi-cloud or on-premises infrastructure.
- Experience designing single-tenant and multi-tenant Kubernetes architectures, including isolation, resource governance, and operational overhead.
- Experience with Vault, External Secrets Operator, or cloud-native secret stores; Kubernetes networking, CNI plugins, Istio, ingress, and hybrid connectivity.
- Experience with vCluster or similar virtual-cluster tooling, GPU driver management, device plugins, and accelerated workloads.
- Ability to write infrastructure automation in Python or Golang, with a solid grounding in distributed systems, reliability engineering, and platform usability.
Nice to have
- Kubernetes certifications such as CKAD, CKA, or CKS.
- Experience with GitOps workflows using Argo CD or Flux.
- Contributions to open-source infrastructure or Kubernetes ecosystem projects.
- Exposure to Erlang, Elixir, or OCaml.
Culture & Benefits
- Flat structure with strong individual influence and openness to challenging assumptions.
- Collaborative work with engineers, scientists, and operators on complex industrial and societal challenges.
- Hybrid working model with office and work-from-home days.
- Equity options, 10% employer pension contribution, private medical insurance, and enhanced parental leave.
- 25 days of annual leave plus public holidays, personal development support, Wellhub membership, and employee assistance.
- Office lunches, nursery support, Bike2Work scheme, season ticket loan, and EV salary sacrifice.
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