A leading company is seeking an Observability Engineer with extensive knowledge of Dynatrace and other monitoring tools. The ideal candidate should possess over 10 years of experience in software development, and have a solid background in implementing observability solutions and managing metrics. This role offers the opportunity to lead teams and contribute to cross-functional projects, making it essential for candidates to have strong scripting skills, familiarity with ITSM, and a proactive approach to improving performance in production environments.
Qualifications
10+ years of experience in software development and observability solutions.
Hands-on experience with monitoring tools and CI/CD automation.
Familiarity with ITSM processes and creating dashboards.
Responsibilities
Developing and implementing observability solutions for production environments.
Managing SLI/SLOs and improving user experience metrics.
Leading observability teams and collaborating with stakeholders.
Skills
Scripting skills
User experience metrics
Performance improvement
Ability to assess and recommend tools
Tools
Dynatrace
Splunk
NewRelic
Logic Monitor
AIOps tools
Job description
JD for Observability Engineer with Dynatrace Knowledge Must-Have:
10+ years of experience in software development, architecture, and observability solutions.
Experience in developing and implementing observability solutions for production environments.
Proficiency in managing SLI/SLOs, user experience metrics, and performance improvement.
Hands-on experience with monitoring tools like Dynatrace (along with Devis, RUM, Synthetic monitor and Anomaly detection.), Splunk, NewRelic, Logic Monitor, and otherAIOps tools.
Proven ability to lead observability teams and collaborate with cross-functional stakeholders.
Scripting skills (Python, PowerShell, Bash), CI/CD tools for automation.
Familiarity with ITSM processes and automation to enhance application support.
Ability to assess and recommend the best tools.
Proficiency in creating dashboards and reports.
Good to Have:
Experience with cloud platforms like AWS, Azure, GCP.
Knowledge of chaos engineering.
Familiarity with customer service platforms such as Salesforce, Mainframe (Hogan), MuleSoft.
Understanding of AI/GenAI/ML and its applications.
Knowledge of the banking or financial services domain.