DevOps Engineer / Observability Engineer

CareCone Group; Sydney; On-site; AUD 100,000 - 130,000; Full time

Job summary

A leading technology firm in Sydney is looking for an experienced Dynatrace SaaS and ELK Engineer to support observability for cloud-native applications on AWS. The role involves setting up monitoring frameworks, optimizing performance, and collaborating with engineering teams. Ideal candidates should have strong skills in Dynatrace and ELK stack, along with AWS services knowledge. This position offers a full-time opportunity in a dynamic work environment.

Qualifications

• Hands-on experience with Dynatrace SaaS, especially in cloud-native and AWS integrations.
• Deep knowledge of ELK stack (Elastic 7.x or 8.x) and best practices for logging in AWS.
• Strong skills in Bash/Python/PowerShell scripting.

Responsibilities

• Deploy and configure Dynatrace OneAgents and ActiveGates across AWS environments.
• Set up RUM, synthetic monitoring, and Davis AI to proactively detect performance issues.
• Build service-centric dashboards and alerting rules aligned with business KPIs.

Skills

Dynatrace SaaS experience

ELK stack knowledge

AWS services expertise

Bash/Python/PowerShell scripting

DevOps/Agile experience

Tools

Dynatrace

Elasticsearch

Logstash

Kibana

AWS

Job description

3 days ago Be among the first 25 applicants

Location: Sydney

Job Description:

• We are looking for an experienced Dynatrace SaaS and ELK Engineer to support observability and performance monitoring for our cloud-native applications running on AWS.
• You will be responsible for the end-to-end setup and optimization of monitoring and logging frameworks using Dynatrace SaaS and the ELK stack (Elasticsearch, Logstash, Kibana), with a strong focus on AWS services, infrastructure, and serverless applications

Key Responsibilities:

• Deploy and configure Dynatrace OneAgents and ActiveGates across AWS EC2, ECS, EKS, and Lambda environments.
• Set up RUM, synthetic monitoring, and Davis AI to proactively detect performance issues.
• Build service-centric dashboards and alerting rules aligned with business KPIs and SLAs.
• Integrate Dynatrace with AWS CloudWatch, CloudTrail, and incident/alerting platforms (ServiceNow, PagerDuty, etc.).
• Design and implement centralized logging pipelines using Logstash, Beats, and FluentBit for AWS logs.
• Manage Elasticsearch clusters for performance, indexing strategies, and retention policies.
• Create meaningful Kibana dashboards and alerts for application and infrastructure logs.
• Correlate log and APM data to assist in root cause analysis and proactive monitoring.

AWS-Focused Monitoring Operations:

• Work closely with cloud engineering teams to embed observability in CI/CD pipelines.
• Implement tagging standards and custom metadata strategies to enhance traceability.
• Tune and optimize monitoring for cost efficiency and noise reduction in dynamic AWS environments.

Required Skills:

• Hands-on experience with Dynatrace SaaS, especially in cloud-native and AWS integrations.
• Deep knowledge of ELK stack (Elastic 7.x or 8.x) and best practices for logging in AWS.
• Solid experience with AWS services (EC2, EKS, Lambda, CloudWatch, CloudFormation, etc.).
• Strong skills in Bash/Python/PowerShell scripting for automation and data transformation.
• Experience working in DevOps/Agile delivery environments.
• Understanding of microservices and container orchestration (Docker/Kubernetes).

Nice to Have:

• Dynatrace certifications (Associate, Professional).
• Experience with Terraform or AWS CDK for infrastructure automation.
• Familiarity with other observability tools like Prometheus, Grafana, Splunk, New Relic.

Interested Candidates can share their updated resumes on [e-mail] or can reach me on [phone].

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services, Data Infrastructure and Analytics, and Technology, Information and Media

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