ANZ
Location
Bangalore | India
Job description
As a Senior DevOps Engineer in the Data Capability tribe you will be responsible for reviewing development pactices with a strong DevOps mindset and a deep understanding of DevOps principles
What will your day look like
Design and build big data application infrastructure using on-premise cloud
Design and develop cloud native applications for process automation and system integration
Apply DevOps and MLOps principles and best practices, continuously improve big data platform and big data infrastructures to enable robust, fault-tolerant big data product development and production environments
Coaching and uplift other team members technical knowledge and skill
Working in a cross skilled environment with people both from big data domain and various technical disciplines to build fit for purpose big data infrastructure
Who are you
A technical leader
A problem solver
A team player
Comfortable being uncomfortable
Continuous improvement junkie
Committed to your own and other s growth
The customer s biggest fan
Risk savvy
What will you bring
We are looking for Senior DevOps Engineers with a strong understanding of DevOps principles, solid coding skills and demonstrable, full hands on experience of the following technologies:
9 plus years experience in software engineering industry.
Solid experience of managing Kubenetes cluster with one or more Kubernetes distributions. e.g., RedHat OpenShift 4, AWS EKS, GCP GKE etc.
Strong understanding and solid experience in software engineering using best practices and good coding skills in Python or Golang
Strong understanding and solid production experience with infrastructure as code, workflow automation
Expertise in Git and GitOps practices and experiences with popular GitOps tool stacks. E.g., GitHub, ArgoCD
Deep understanding and experience with cloud native CI/CD pipeline implementation and tools. E.g., Github Actions/Argo Workflow etc.
Expertise in K8S configuration management tools. E.g., Helm and Kustomize
Good understanding and experience with modern monitoring/observeability tool stack. E.g. Prometheus, Grafana, ELK stack, OpenTelemetry etc.
Solid experiences in dockerizing and integrating opensource projects at production-level, E.g., Airflow, JupyterHub, Spark and MLflow etc.
Good understanding and production experience with developing Kubernetes applications in enterprise data projects.
Good understanding and production experience to IAM tools, e.g. Keycloak
Security savvy with complex enterprise security environment.
Proven experience of using and automating IAM process via industry standard tools, e.g. Keycloak, AWS IAM
Strong verbal and written communication skills with the ability to effectively collaborate and write technical documents.
So, why join us
Health and wellbeing programs
Discounts on selected products and services (from ANZ and beyond)
Flexible working arrangements, lifestyle leave and career breaks
You'll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
Job tags
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