Description
- Work closely with solution architects, application development team to ensure adherence to best practices in design and coding w.r.t SRE principles.
- Monitor, troubleshoot & analyse application & underlying infrastructure performance issues as part of the performance engineering exercises and derive gold-configuration parameters.
- Drive thorough performance analysis of microservices code by using single-user code profiling techniques.
- Assist development team to tune the applications/configurations for critical systems to comply with the NFR before going live in production and ensure the performance recommendations are part of the change request process.
- Ensure appropriate governance w.r.t framework usage across multiple delivery streams and enhance the framework capability to meet the upcoming requirements.
- Participate & contribute to resiliency validation exercises and create proper reporting to the stakeholders.
- Define critical performance KPIs, set alert rules and roll-out monitoring dashboards for Production with timely reporting to the stakeholders.
- Automation of various manual tasks w.r.t performance monitoring, alerting, analysis, reporting, capacity planning etc to improve application observability, resiliency & operational efficiency.
Qualifications
- Bachelor's Degree of Computer Science with equivalent work experience of 6+ years.
- Minimum 3 years of hands on experience in JAVA/J2EE, Spring Boot, JavaScript, SQL/PostgreSQL.
- Minimum 2 years of hands on experience in any of the technology such as Red Hat OpenShift/Kubernetes, Docker, Kafka, ELK, Redis and DevOps Tools such as Jenkins, Bitbucket, JIRA.
- Hands on experience in application monitoring with Grafana, Kibana, Prometheus, AppDynamics or Dynatrace is a plus.
- Hands on experience in Chaos Engineering is a plus.
- Strong analytical and problem-solving skills.
- Strong interpersonal and communication skills.
- Positive attitude towards continuous learning
Java
J2EE
spring boot
Javascript
SQL
PostgreSQL
red hat
OpenShift
Kubernetes
Docker
kafka
elk
Redis
DevOps
Jenkins
bitbucket
jira
grafana
kibana
prometheus
appdynamics
dynatrace
chaos engineering