About the role
We're looking for a Lead DevOps Engineer with 8+ years of experience who takes full technical ownership of our cloud infrastructure and developer platform. You'll be hands-on writing code, designing systems, and solving hard infrastructure problems directly.
Requirements:
- 8+ years in cloud infrastructure, with 3+ years hands-on AWS, owning complex systems end-to-end and driving technical decisions across engineering teams.
Cloud and Infrastructure:
- Deep expertise in AWS services, such as EC2 EKS, ECS, RDS, ElastiCache, S3 IAM, VPC, Route 53 and CloudFront.
- Expert-level Terraform (Terragrunt a strong plus), able to define custom internal modules to bootstrap complete solutions.
- Confident managing multi-account AWS environments.
- Strong Linux systems knowledge: kernel, networking, performance tuning, package management.
- Container expertise: Docker, Kubernetes, and Helm chart authoring.
- Kubernetes Topology: leverage Taints and tolerations, Affinities, and topology spreads to build reliable systems.
Automation and CI/CD:
- Strong scripting skills in Bash and at least one general-purpose language (Python preferred).
- Experience with CI/CD platforms: Jenkins, GitHub Actions, or CircleCI.
- Source control mastery: Git (GitHub), branching strategies, code review workflows, GitOps.
- Experience authoring reliable automation pipelines: from regular scripting to orchestration workflows using tools such as GitHub Actions or Step Functions.
Observability and Security:
- Hands-on experience with configuring monitoring/logging stacks: Prometheus/Grafana, ELK, and CloudWatch.
- Nginx configuration, SSL/TLS management, and certificate lifecycle automation.
- VPN implementation: OpenVPN.
- Zero Trust Implementation: Cloudflare Tunnels.
- Familiarity with cloud security best practices: IAM least-privilege, secrets management (Vault / AWS Secrets Manager), network segmentation.
- Experience with Containers and Kubernetes security: Network Policies, RBAC, Logs and events auditing, container hardening, Seccomp.
Data and Middleware:
- Experience supporting relational databases (PostgreSQL), caches (Redis, Memcache), and message buses (Kafka/RedPanda, RabbitMQ), NoSQL Databases (MongoDB, DynamoDB).
- Working knowledge of networking fundamentals: DNS, TCP/IP, load balancing, CDN.
AI Fluency:
- You actively use AI coding assistants (Copilot, Cursor, Claude, ChatGPT) as part of your daily workflow - not occasionally.
- You have applied LLMs or AI tooling to infrastructure problems: incident summarisation, code generation, IaC linting, runbook drafting.
- You understand the limitations of AI-generated infrastructure code and apply critical review before shipping to production.
- Curiosity about where AIOps, LLMOps, and platform engineering are heading and excitement to help Novo get there first.