Software Engineer II (Platform Engineering)

Location: Remote, London

Company

hirify.global is a blockchain data platform that uses blockchain data and AI to help organizations investigate illicit activity, manage risk, and develop market solutions.

What you will do

• Build and maintain AWS and GCP cloud infrastructure with Terraform.
• Operate and evolve multi-tenant Kubernetes clusters on EKS, including node lifecycle, upgrades, security contexts, and networking.
• Support the migration from managed Kafka on MSK to WarpStream and maintain related operational tooling.
• Develop Go-based platform tooling and Kubernetes reconcilers for self-service infrastructure provisioning.
• Design and maintain networking and security infrastructure, including transit gateways, GCP Interconnect, ingress, security groups, IAM, IRSA, and secrets management.
• Participate in on-call rotations, respond to incidents, improve runbooks, and automate recurring operational issues.

Requirements

• 3+ years of software engineering or infrastructure engineering experience.
• Hands-on experience building and operating AWS infrastructure, including services such as EC2, EKS, IAM, S3, and VPC.
• Production experience operating or deploying workloads on Kubernetes.
• Experience with infrastructure as code; Terraform is strongly preferred.
• Proficiency in Go, Python, or shell scripting, with readiness to work primarily in Go for reconciler development.
• Experience with CI/CD pipelines, on-call rotations, and production incident response.

Nice to have

• Experience building Kubernetes operators or controllers with CRDs, reconcilers, or controller-runtime.
• Knowledge of Kafka, WarpStream, networking infrastructure, or event-driven systems.
• Experience in regulated environments or with GitOps tools such as ArgoCD or Flux.
• Interest in platform engineering and eliminating engineering toil.

Culture & Benefits

• Work with shared infrastructure that supports engineering teams across the organization.
• Pair with senior engineers through code reviews and collaborative development.
• Participate in an environment focused on operational excellence and continuous automation.
• AI tools and workflows are part of the organization’s approach to improving how work gets done.
• Commitment to diversity, inclusion, continuous learning, and accessible interviews.