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Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Observability) (AWS/Kubernetes): Designing and improving observability platforms, data pipelines, and tooling used by Canva engineers with an accent on metrics, continuous profiling, distributed systems, and reliability. Focus on building scalable querying and visualization experiences, operating high-throughput pipelines and databases, and providing technical leadership for organization-wide observability practices.
Location: Brisbane, QLD, Australia. Work options include office, home, or a combination of both, with campuses and co-working spaces across Australia.
Company
Canva develops a design platform and provides tools for creating and experiencing visual content.
What you will do
- Design, build, and continuously improve observability platforms, pipelines, and tooling used by Canva engineers.
- Optimize metrics and continuous profiling platforms through research, prototyping, and operational improvements.
- Improve querying, visualization, monitoring, alerting, and the overall user experience.
- Drive technical decisions and advocate for pragmatic observability solutions across teams.
- Champion observability best practices and guide engineers across the organization.
- Maintain metrics and profiling SDKs, data pipelines, and supporting infrastructure across the stack.
Requirements
- Proficiency coding in Python, Golang, and/or Java.
- Deep knowledge of computer engineering fundamentals and first principles.
- Experience with infrastructure as code, including Terraform and Jsonnet or equivalent tools.
- Practical experience with AWS services such as EC2, EKS, Lambda, SQS, Kinesis, S3, and MSK, or equivalent services.
- Experience with observability technologies such as Prometheus, Grafana, and OpenTelemetry.
- Experience with highly reliable, highly available, high-throughput distributed data pipelines and scalable databases.
Nice to have
- Deep OpenTelemetry experience.
- Experience operating metrics and monitoring infrastructure at large scale, including distributed Prometheus clusters or similar databases.
- Experience with Kinesis, Kafka, Kubernetes stateful workloads, data security, data obfuscation, and SLA/SLO practices.
Culture & Benefits
- Permanent, full-time employment.
- Equity packages.
- Inclusive parental leave for all parents and carers.
- Annual allowance supporting wellbeing, social connection, and office setup.
- Flexible leave options.
- Virtual interviews, including interactive technology and AI-related challenges.
Hiring process
- Interviews are conducted virtually.
- The technology hiring experience may include real-time challenges and problem-solving with an AI tool.
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