Sr. Platform Engineer

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Own 5 AWS accounts across the organisation (QA, Prod, Infra, plus two others)
Architect and maintain infrastructure as code with Terraform. Replace the click-ops that's still around
Stand up CI/CD pipelines engineers actually want to use. Blue/green and canary where it makes sense
Run releases reliably and reduce key-person risk on the deploy process
Set up monitoring, alerting, and incident response so we catch issues before customers do. Define SLIs and SLOs that map to real user journeys
Lead incident response as the primary infra responder. Run blameless post-mortems
Patch and harden the platform. We're a fintech, this matters. IAM least privilege, secrets management, vulnerability scanning, MFA enforcement
Lead infrastructure work for the TV launch: traffic spikes, autoscaling, capacity planning, runbooks
Partner with backend engineers when production issues cross into the app tier. JVM tuning, connection pools, async patterns, memory leaks
Architect multi-region DR. Drive the platform toward self-healing
Optimise cost across DynamoDB, Lambda, and the wider AWS footprint
Set architectural guardrails with tech leads and SWEs. Mentor engineers as the platform capability grows

6+ years hands-on AWS in production (VPC, IAM, EC2/ECS/EKS, Lambda, S3, CloudFront, Route53, RDS, DynamoDB, SQS)
Production Terraform (Terragrunt a plus). Multi-environment state management
Production Kubernetes and Docker. EKS specifically
Strong CI/CD experience: GitHub Actions, GitLab, Jenkins, or ArgoCD. GitOps practices
Strong infrastructure security: IAM least privilege, secrets, patching, vulnerability scanning, MFA enforcement
Observability from scratch: CloudWatch, Datadog, Grafana, Prometheus, OpenTelemetry, or ELK
Solid backend competency in Java (Spring Boot), Python, or Node. Understanding of JVM, concurrency, async systems
Comfort being the senior infrastructure person. Self-directed, opinionated, disciplined about documentation
B2/C1 Level English

Fintech or other regulated industry experience
DynamoDB at scale (we run many tables with PITR and S3 exports, Lambda-driven daily incrementals)
AWS cost optimisation track record
Past experience as a first infrastructure hire at a small team
Building internal developer platforms or self-service tooling
AWS DevOps Pro, Solutions Architect Pro, or CKA
Service mesh experience (Istio, Linkerd) and DevSecOps practices
Firebase or GCP exposure (we have a small footprint there)