We are hiring for our Site Reliability Engineering (SRE) team. This team will be responsible for planning, designing, and rolling out proactive resiliency practices which protect customer journeys from disruption and avoid re-engineering costs through the early detection of existing and emerging resiliency threats.
The successful candidate should have experience debugging incidents and partnering with teams to improve reliability and performance of systems and services.
What will your job look like?
- Execute Benchmark, load, stress, endurance, and other non-functional performance tests.
- Monitor application logs to determine system behaviour. Analyse the CPU Utilization, Memory usage,
- Network usage, Garbage Collection and DB Parameters and DB Reports to verify the performance
- of the applications.
- Generate performance graphs, session reports and other related documentation required for
- validation and analysis.
- Identifying memory leakage, connection issues & Bottleneck problem in the application.
- Design, develop and execute Chaos Engineering experiments, that uncover system vulnerabilities
- which could potentially lead to outages and adversely impact business
- Automate Chaos experiments through chaos engineering tools (Chaos Monkey, Gremlin etc) to run
- continuously and enhance observability through SRE dashboards to have real time performance
- monitoring and to quickly identify issues
- Collaborate with operations and application engineering teams to design and execute
- production game day scenarios that will help enhance emergency response processes
- Develop requirements to enhance observability of performance visuals, implement telemetry
- controls, and consult on self-healing capabilities for identified/prioritized failure scenarios
All you need is…
- Minimum of 2-5 years' hands-on experience in Performance Testing and Engineering areas
- Expert knowledge and strong experience using tools, LoadRunner/JMeter etc. and understanding of APM solutions like Grafana, AppDynamics, Dynatrace etc
- Experience with microservice architecture, Docker, Kubernetes, Jenkins, AWS, Azure, Jira, Confluence, and application monitoring tools
- Strong expertise on monitoring and analysing application logs, database reports, system metrics like CPU Utilization, Memory usage, Network usage, Garbage Collection and DB Parameters
- Strong expertise on identifying potential performance issues and providing recommendations to improve performance
- Experience with chaos engineering and tools (Chaos Monkey, Gremlin etc.) is an advantage
- Good to have programming experience with Java or Python
- Strong technical, analytical, problem solving, and communication skills
- Excellent verbal, written, interpersonal, organizational and time management skills
- Ability to communicate effectively to both business and technical audiences
- Ability to orchestrate and drive complex strategies and solutions