Description
You will own the cloud infrastructure and Kubernetes platform that hosts services end-to-end , provision, upgrade, and operate multi-cloud (AWS + Azure) clusters.
You will 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.
Your responsibilities will also include:
- Baking and hardening machine images using Packer + Ansible for Linux and Windows, validating them with automated image tests (goss), and managing the container image supply chain.
- Running observability and alerting , Prometheus/Grafana, Splunk (OTel collectors, saved searches/alerts).
- Leading production support and on-call , triaging incidents, performing RCA, remediating issues, and managing node/pod health, capacity, and autoscaling.
- Designing and operating CI/CD and release pipelines using Jenkins and deployment pipelines.
- Deploying, monitoring, and troubleshooting platform services , Spring Boot services, node agents, and containerised engine workloads , across Kubernetes and clouds.
- Optimizing scalability, cost, and security , right-sizing clusters, tuning autoscaling/workload placement, enforcing network policies and admission control.
- Developing and maintaining platform code using Python/Shell scripting.
- Participating in code/infra reviews, cross-functional collaboration, and mentoring junior engineers.
To succeed in this role, you will need:
- 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 to develop and maintain 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.
- Fluency with AI coding assistants and agentic development/ops tooling to accelerate delivery and operations.