Senior DevOps Engineer - Marketing Data
Melbourne, AU
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Xero
Xero software for small businesses connects you to your bank, accountant, bookkeeper, and other business apps. Start a free trial today.
Our PurposeAt Xero, we’re here to help you supercharge your business. We do this by automating routine tasks, surfacing actionable insights and connecting businesses with the right data, advisors and apps. When that happens, we’re not only making life better for small business, we’ll be building a stronger economy that can change the world.
How you’ll make an impact
As a Senior DevOps Engineer in Marketing Data Science team works in a cross-functional team that includes Infrastructure Automation Engineers, Developers, Data Engineers, Data Scientists, and Product Managers.
This role is responsible for ensuring our tooling and processors are an enabler for positive organisational agility. Specifically this role is to drive up competency for the entire Product Group throughout its understanding and application of good practices throughout the Software Delivery Lifecycle via pipelines and accepted paths to Production.
How you’ll make an impact
As a Senior DevOps Engineer in Marketing Data Science team works in a cross-functional team that includes Infrastructure Automation Engineers, Developers, Data Engineers, Data Scientists, and Product Managers.
This role is responsible for ensuring our tooling and processors are an enabler for positive organisational agility. Specifically this role is to drive up competency for the entire Product Group throughout its understanding and application of good practices throughout the Software Delivery Lifecycle via pipelines and accepted paths to Production.
What you'll do:
- Designing and evolving our core platform infrastructure to support marketing data products and applications, primarily on AWS, using Terraform.
- Developing and enhancing integrations between different platforms and AI tools to ensure the right information is available for the people that need it.
- Building and maintaining robust, automated CI/CD pipelines that empower our Data Engineering and Data Scientist teams to confidently and efficiently deploy their solutions.
- Collaborating closely with stakeholders like our Data Engineering and Data Scientist teams, understanding their needs, and translating them into scalable, secure platform solutions.
- Implementing and championing data security best practices across the platform, ensuring our data assets are protected.
- Providing expert guidance and mentorship to drive up platform competency and promote best practices across the wider product group.
You're more than just a coder; you're a platform visionary with a passion for data and innovation. With 5-10 years of solid experience under your belt, you've got the battle scars to prove you've been around a bit and know how to get things done. You've likely thrived in a DevOps or SRE capability, consistently building CI/CD pipelines and infrastructure for other teams, moving beyond just an "execution" role.
What you’ll bring with you
- 5+ years’ experience in DevOps and Software Development, with a focus on running production workloads, building platforms, and implementing integrations between SaaS services.
- Strong Python skills building high traffic services
- Hands-on expertise with CI/CD tools like TeamCity, GitHub Actions, Jenkins, Harness, or CircleCI.
- Proven proficiency in Infrastructure as Code utilities, specifically using Terraform for deploying AWS resources. Experience with Azure or GCP is a definite plus.
- Deep understanding and experience with Docker and Kubernetes.
- A solid grasp of DevOps practices – you live and breathe them!
- Robust knowledge in SRE tools like Sumologic, New Relic, and key AWS services (including, SQS, SNS, S3, EKS, VPC, SSM, CloudWatch).
- Clear and concise communication skills, both written and verbal, allowing you to articulate complex technical concepts with ease. You're adept at interacting with stakeholders, gathering requirements, and presenting comprehensive solution designs.
- Experience with orchestration tools like Apache Airflow or Prefect.
- Proven proficiency in the rollout and maintenance of cloud infrastructure.
- Excellent communication and storytelling skills, with the ability to tailor messaging to both technical and non-technical audiences.
- Strong stakeholder management skills with experience influencing across multiple levels of an organization.
- Comfortable working autonomously and managing multiple projects in a fast-paced, cross-functional environment.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Airflow AWS Azure CI/CD DevOps Docker Engineering GCP GitHub Jenkins Kubernetes Pipelines Python Security Terraform
Perks/benefits: Career development Flex hours Health care Parental leave
Region:
Asia/Pacific
Country:
Australia
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