Requirement
- Bachelor's Degree of Computer Science and overall work experience of 8 – 10 years.
- At least 1 full end to end project delivery experience in last 2 years as full stack engineer as mentioned in the Qualifications and Job descriptions section
- Familiarity with agile and DevOps principles, test-driven development, continuous integration, and other Software Engineering best practices to accelerate the delivery and quality of new features
- Minimum 3 years of hands-on experience in Java, Spring Boot, JavaScript, SQL/PostgreSQL.
- Minimum 2 years of hands-on experience in any of the technology such as Docker, Kubernetes, Azure Cloud, Kafka, SQL, NoSQL, and DevOps Tools such as Jenkins, Bitbucket, JIRA.
- Hands on experience in application monitoring with New Relic, Devo, or related tools.
- Strong analytical and problem-solving skills.
- Strong interpersonal and communication skills.
- Positive attitude towards continuous learning.
On the job you will:
- 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 & analyze 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 SLOs at both application-level and service-level, 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.
