Cognizant
SRE Developer
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
11 August 2026
What they need
Job Summary
The Sr R2 Engineer will drive resiliency engineering and incident resolution for complex microservices based applications running on Kubernetes and OpenShift in a hybrid work model. This role focuses on chaos testing performance optimization observability and reliability across AWS hosted platforms using tools such as Resiliency Studio Gremlin Pumba App Dynamics New Relic Dynatrace and Splunk to ensure stable services for global customers and meaningful impact to society through depend
Responsibilities
- Lead end to end resiliency engineering initiatives across microservices based platforms using Resiliency Studio and Gremlin to ensure highly available and fault tolerant applications for global customers
- Drive chaos experimentation with tools such as Pumba to validate system behavior under failure scenarios and translate findings into actionable improvements that strengthen business critical services
- Oversee performance profiling and memory analysis activities with Yourkit to identify bottlenecks and implement optimizations that enhance response times and user satisfaction
- Provide advanced support for event driven architectures using Rabbit MQ ensuring reliable message delivery and robust queuing patterns that support core business workflows
- Manage and optimize data persistence layers across PostgreSQL and SQL Server focusing on query tuning index strategies and schema improvements to deliver consistent and scalable performance
- Coordinate deployment and runtime operations on Kubernetes and OpenShift ensuring resilient configuration rollout strategies and effective use of container orchestration capabilities
- Execute deep observability and monitoring practices leveraging App Dynamics New Relic Dynatrace and Splunk to detect anomalies proactively and drive rapid incident resolution
- Collaborate with cross functional teams to design and refine resilient microservices patterns on AWS that align with organizational standards and deliver secure scalable and maintainable solutions
- Perform root cause analysis for production incidents and near misses documenting findings and driving systemic remediation that improves reliability and reduces future disruptions
- Develop and maintain runbooks resilience playbooks and operational guidelines that enable consistent incident handling and empower teams to respond effectively to complex scenarios
- Coordinate non production and production validations for resilience and performance ensuring that releases meet defined service level objectives and support dependable customer experiences
- Engage with stakeholders to prioritize resiliency and observability backlog items connecting technical improvements with measurable business value and societal impact through dependable digital services
- Guide continuous improvement of hybrid work practices within the R2 function ensuring effective collaboration knowledge sharing and adherence to day shift expectations
Qualifications
- Demonstrate extensive hands on experience in resiliency engineering using Resiliency Studio Gremlin and Pumba to design execute and interpret chaos experiments in complex distributed systems
- Show strong proficiency working with modern microservices architectures and container platforms including Kubernetes and OpenShift with a focus on reliability scalability and operational excellence
- Apply deep knowledge of observability and monitoring tools such as App Dynamics New Relic Dynatrace and Splunk to build meaningful dashboards alerts and metrics for production systems
- Bring advanced expertise in Rabbit MQ PostgreSQL and SQL Server including messaging design database tuning and troubleshooting to ensure stable and performant data and integration layers
- Exhibit solid experience with AWS services relevant to microservices and resilience such as compute storage networking and managed databases while following cloud best practices
- Utilize performance analysis skills with Yourkit and similar tools to diagnose complex application issues and implement code or configuration improvements that enhance efficiency
- Leverage strong problem solving communication and collaboration abilities to work in a hybrid model environment aligning closely with product operations and engineering partners to deliver reliable services
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