Educational Requirements

Bachelor of Engineering, Bachelor Of Computer Science, Bachelor Of Comp. Applications, Bachelor Of Science, Bachelor Of Technology

Service Line

Data Analytics Unit

Responsibilities

- Reliability Engineering Automation Architect and deliver automation solutions that eliminate toil, reduce MTTR, and increase service resilience.
- Experience in Ansible, Puppet or Chef is a plus.
- Implement intelligent alerting, anomaly detection, and event correlation leveraging AI and AIOps tools.
- Guide and enforce SLO/SLI adoption across product teams, ensuring metrics inform decision-making and prioritization.
- Utilize Infrastructure-as-Code (IaC) tools for automating deployment of assets within cloud tenants.
- Observability Operational Excellence Ensure operational readiness of applications and platforms through resiliency testing, chaos engineering, and failure-mode validation.
- Cross-Functional Leadership Influence Partner with Delivery, Architecture, Security, and Risk teams to embed reliability and resilience into design and execution.
- Standardization Documentation Develop, maintain, and enforce runbooks, response playbooks, and automated recovery patterns.
- Follow best practices and internal processes for Non-Functional requirements to improve resiliency and reliability.
- Mentorship Technical Development Coach and mentor Associate, Professional, and Senior SREs to build technical depth and operational discipline.
- Provide thought leadership in SRE methodologies, cloud-native operational patterns, and automated reliability engineering.
- Incident Leadership Production Operations Lead P1/P0 incident bridges and direct technical investigation efforts.
- Perform hands-on triage using logs, traces, metrics, and application telemetry.




- Drive mitigation, recovery, RCA development, and follow-through remediation.
- Provide executive communications during major incidents.
- Build operational automation based on recurring production issues.
- Establish credibility through technical leadership during live service disruptions.

Additional Responsibilities
- Experience enabling large-scale SRE transformations or modernization initiatives.
- Demonstrated proficiency with GitLab Duo, or similar AI technologies.
- Familiarity with chaos engineering, resilience assessments, and service failure modeling.
- Exposure to hybrid-cloud and multi-cloud operational frameworks.
- Experience contributing to or leading Center for Enablement functions or Communities of Practice.
- Expertise with highly regulated industries preferred.

Technical and Professional Requirements
- 7+ years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or Infrastructure Operations.
- Deep handson experience with distributed systems, container orchestration (Kubernetes), and cloud-native operational tooling.
- Proficiency with automation and scripting languages (Python, Go, PowerShell, Ansible).
- Solid understanding of observability platforms (Splunk, Dynatrace) and event-driven monitoring.
- Proven leadership in major incident management and cross-team technical coordination.
- Strong grasp of networking, Linux/Unix internals, and modern infrastructure patterns.
- Excellent communication skills, including executive-level situational awareness during critical incidents.

Preferred Skills
- Technology->OpenSystem->Python - OpenSystem
- Technology->Container Platform->Kubernetes
- Technology->Devops->Ansible
- Technology->DevOps->Site Reliability Engineering(SRE)

📌 Site Reliability Engineering Lead_Truist (Bengaluru)
🏢 Infosys
📍 Bengaluru