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- Experience in leading Observability initiatives as Lead Engineer.
- Development and implementation of build release pipelines with accountability for managing deployment schedules, issues, risks, and impediments.
- Agile development experience with team member accountability for commitment and delivery each sprint.
- Ensure that all implementations of observability meet the requirements prescribed by IT Services through the effective implementation or use of approved processes, methodologies, and deliverables.
- Provide expertise and design solutions for observability applications as well as system integration with internal systems and external vendors.
- Provide technical leadership in design, development, and testing of solutions.
- Track infrastructure delivery and dependencies to implementation.
- Experience with gathering and organizing large volume of data to use for instrumentation into an Enterprise Observability solution.
- Experience with recommending baseline monitoring thresholds, and performance monitoring KPIs and SLAs.
- Experience with installing agents, forwarders, APIs, performance monitoring alerts, dashboards, and data trend analysis.
- Good Knowledge and understanding of Azure foundation components e.g., App GW, APIM, Virtual Network, NSG, Load Balancer, Azure VM etc. is required.
- Experience must include at least one of the following languages: Java (required), DesiredPython, Go, C, C.
- Experience with Databases Azure SQL, PostgreSQL, MySQL, MongoDB, TSDB or similar databases.
- Experience on one of cloud platforms Microsoft Azure/Google Cloud Platform cloud is required.
- Experience on PCF, Docker, Kubernetes platform is required.
- Experience with DevOps and CI/CD tools and processes is required.
- Experience in high-performance and high-frequency data streaming (using Kafka etc.) and handling large volume of batch data is strongly preferred, but not required.
- Experience with Agile/Scrum methodologies is required.
- 4-year degree (Computer Science, Information Systems, or relational functional field) and/or equivalent combination of education or work experience.
- 10+ years of experience on integration engineering related to Observability/Monitoring framework and on two or more APM Tools (AppDynamics, Datadog, Splunk, Dynatrace, Kibana, Elastic etc.).
- Hands-on experience with Tools and Technology is preferred.
- 5+ years of experience as a System Reliability Engineer is required.
- Experience working with Open-source platforms and Open Telemetry libraries e.g., Grafana is preferred.