Senior DevOps Engineer
Summary
Senior DevOps Engineer at a Sydney-based consulting firm, based in Indonesia, managing and scaling client cloud infrastructure. Day to day: build CI/CD pipelines, Infrastructure as Code, and automated data pipelines, using AWS, Terraform, Kubernetes, and Python-based data tooling.
About Ikigai
Ikigai is a Sydney-based consulting firm specialising in DevOps, cloud automation, data pipelines, and system architecture. We help businesses design and optimise their cloud infrastructure through CI/CD, Infrastructure as Code (IaC), automated monitoring, scalable architectures, and reliable data processing solutions.
We're looking for an experienced DevOps Engineer to join our growing team in Indonesia.
You’ll manage, improve, and scale client infrastructure, working closely with development and data teams to streamline build, deployment, and release pipelines. You'll also contribute to building and maintaining automated data pipelines, supporting reliable data processing, and optimising cloud-based data workflows.
- 4+ years of experience as a DevOps or Automation Engineer.
- AWS Certified (Solutions Architect or DevOps Engineer).
- Advanced AWS skills; experience with other cloud providers is also valued.
- Strong background in containers and container orchestration.
- Hands-on experience with Infrastructure as Code (Terraform).
- Solid understanding of CI/CD principles and tooling.
- Experience building, managing, and maintaining automated data pipelines.
- Familiarity with ETL/ELT processes, data integration, and data transformation.
- Experience with Python-based data processing and cloud storage services such as Amazon S3.
- Understanding of data pipeline orchestration, monitoring, error handling, and troubleshooting.
- Able to work independently and take ownership of tasks.
- Experience managing Kubernetes or SaaS environments.
- Experience with AWS data services such as AWS Glue, Athena, Kinesis, or Redshift.
- Familiarity with workflow orchestration tools such as Apache Airflow or AWS Step Functions.
- Experience with data warehouses, analytics platforms, or big data technologies.
- Exposure to full-stack development.
- A proactive, can-do attitude and a willingness to learn new technologies.
What We Offer
- Long-term growth and career development opportunities.
- A supportive and collaborative team culture.
- Opportunities to work on challenging cloud infrastructure, automation, and data engineering projects.