Expert Observability Engineer

As an Expert Observability Engineer, you will be responsible for designing and implementing observability solutions, optimizing monitoring tools, managing logs, and collaborating with various IT teams. Your role will ensure that our applications, infrastructure, and networks are properly monitored and performing optimally.

To apply for the Expert Observability Engineer role, candidates should have a bachelor's degree in Computer Science or equivalent experience, along with 8+ years of hands-on experience with observability platforms like ELK, Dynatrace, and BMC TrueSight. Proficiency in scripting languages and a solid understanding of cloud platforms is also essential.

Candidates should have extensive experience with platforms such as ELK (Elasticsearch, Logstash, Kibana), Dynatrace, BMC TrueSight, and SolarWinds. Familiarity with automation tools and various monitoring technologies is also highly beneficial.

The Expert Observability Engineer plays a pivotal role in incident management by collaborating with IT operations, DevOps, and SRE teams to analyze performance issues. You'll be tasked with diagnosing problems and facilitating efficient resolutions to ensure minimal downtime.

Absolutely! We encourage continuous learning and professional development for our Expert Observability Engineers. Staying updated on emerging technologies and best practices is crucial for success and we're committed to supporting your growth in this role.

In my previous roles, I deployed the ELK Stack to centralize logging and facilitate real-time analytics. I configured log parsing to detect anomalies and developed dashboards that provided key insights into application behavior.

When designing an observability strategy, I first define the key performance indicators that are critical for the application's success. I then choose appropriate monitoring tools and establish a baseline for normal behavior before implementing alerts for any deviations.

I have significant experience using Python and PowerShell for automating monitoring tasks. This included script development for log collection and alerting system integrations to streamline ITSM processes.

Recently, I faced a performance issue related to a high latency application. By analyzing performance metrics and logs in Dynatrace, I identified a bottleneck in the database layer and provided recommendations that significantly improved the response time.

Current trends include the rise of AIOps and machine learning in observability, helping teams predict incidents before they occur. There's also a strong focus on enhancing user experience by correlating data between various monitoring solutions.

I prioritize regular meetings with development teams where I share insights from monitoring tools. I also create documentation that outlines best practices and findings, ensuring clarity and fostering a collaborative environment.

I conduct a thorough root cause analysis by gathering all relevant logs and metrics leading up to the incident. I use tools like BMC TrueSight to correlate this data which helps identify the root cause and formulate a mitigation plan.

For cloud applications, I focus on response time, availability, error rates, and resource usage metrics. Monitoring these KPIs allows for a comprehensive view of the application health and ensures optimal performance.

I have successfully integrated observability tools with ITSM platforms by establishing automated alerts for incidents, which streamlines the ticketing process and helps teams respond more efficiently to potential issues.

I am proficient in Python and Bash, using them for automating log collection processes and for scripting deployment steps of observability tools to ensure consistent and repeatable setups across environments.