Computer Scientist 2

About the role

What you’ll do

- Own the cloud infrastructure and Kubernetes platform that hosts services end-to-end — provision, upgrade, and operate multi-cloud (AWS + Azure) clusters.

- Build and maintain infrastructure-as-code — Helm charts, ARM/CloudFormation templates, cloud-init, and Python automation for cluster creation, CNI, node scaling, machine health checks, and workload identity.

- Bake and harden machine images using Packer + Ansible for Linux and Windows, validate them with automated image tests (goss), and manage the container image supply chain.

- Run observability and alerting — Prometheus/Grafana, Splunk (OTel collectors, saved searches/alerts)

- Lead production support and on-call — triage incidents, perform RCA, remediate issues and manage node/pod health, capacity, and autoscaling.

- Design and operate CI/CD and release pipelines using Jenkins and deployment pipelines.

- Deploy, monitor, and troubleshoot platform services — Spring Boot services, node agents, and containerised engine workloads — across Kubernetes and clouds.

- Optimize scalability, cost, and security — right-size clusters, tune autoscaling/workload placement, enforce network policies and admission control.

- Python/shell scripting for developing and maintaining platform code

- Participate in code/infra reviews, cross-functional collaboration, and mentor junior engineers.

What you need to succeed

- 6–8 years in software/platform engineering with strong DevOps / SRE / infrastructure focus and end-to-end production ownership.

- Deep hands-on Kubernetes experience — Cluster API / kubeadm, Helm, networking/CNI (Calico), autoscaling, and Linux/Windows node/container workloads.

- Strong hands-on AWS and/or Azure experience across compute, storage, networking, identity/IAM, and managed services; multi-cloud is a strong plus.

- Infrastructure-as-code and automation proficiency — Helm, ARM/CloudFormation/Terraform, Packer + Ansible + Python

- Proven production-operations experience — monitoring, logging, alerting, and incident response using Prometheus, Grafana, Splunk/OTel, with on-call ownership.

- CI/CD experience with Jenkins, GitLab CI, Azure DevOps, or GitHub Actions, including staged releases, rollbacks, and change management.

- Database operations experience across relational/NoSQL databases such as PostgreSQL/SQL Server, Cosmos DB/DynamoDB/MongoDB, and Redis.

- Python/shell scripting for developing and maintaining platform code

- Application and platform security fundamentals — OWASP, Vault/CyberArk, IAM/least-privilege, network policy, OAuth2/OIDC/SAML.

- Messaging/micro-services familiarity with Kafka, RabbitMQ, SQS/Service Bus, and event-driven operations.

- Git proficiency, Agile/Scrum experience, excellent communication, and cross-functional/cross-time-zone collaboration.