In this role, you will lead, scale, and mentor the Chennai team of DevOps and production support engineers, working closely with the counterparts in Singapore. This is a high-visibility, hands-on leadership role-you will drive critical incident resolution, orchestrate deep-dive root cause analyses alongside development teams, and transition operations from reactive troubleshooting to long-term proactive engineering solutions.

qualification

10+ years of overall experience within Production Support, Application Support, Systems Engineering, or Site Reliability Engineering (SRE) roles.

4+ years in an engineering leadership or people management role managing multi-regional teams under a 24/7 coverage model.

Enterprise Financial Background: Extensive experience supporting critical core or digital banking systems inside a tier-1 financial institution or highly regulated fintech environment.

Education: Bachelor s degree in Computer Science, Information Technology, or a related quantitative technical field (or equivalent practical experience).

Enterprise-Scale Application Architecture: Deep conceptual understanding of multi-tier web/mobile applications, distributed microservices architectures, RESTful APIs, and enterprise API Gateways to quickly isolate components during an incident.

Hybrid-Cloud Infrastructure Exposure: Extensive exposure to managing and supporting enterprise-scale banking operations running across Azure (preferred) or AWS, alongside traditional On-Premises corporate data centers.

SQL Shell Scripting Proficiency: Advanced hands-on skills in writing SQL queries across multiple enterprise databases (Oracle, SQL Server, PostgreSQL) and high proficiency in Shell Scripting (Bash/Unix)



to manipulate logs, query data anomalies, and run terminal level triage.

Programming Language Knowledge: Strong code-reading and diagnostic knowledge of Python or Java to analyze error stack traces and partner with developers on fixes (no active coding or application development required).

Containerization Orchestration Exposure: Operational exposure to containerized applications running on Docker and Kubernetes (AKS/EKS) to navigate clusters, check pod states, and extract logs during incidents. Monitoring Observability Platforms: Expert usage of enterprise observability platforms (Datadog, Splunk, Dynatrace, Prometheus, Grafana) for multi-tier log correlation, telemetry metrics analysis, and proactive performance bottleneck detection.

CI/CD DevOps Workflow Familiarity: Practical knowledge of DevOps pipelines (GitLab CI, Azure DevOps, or Jenkins) and modern AI engineering assistants to quickly trace and isolate deployment-related regressions (no active pipeline development required).

requirements

Enterprise-Scale Application Architecture: Deep conceptual understanding of multi-tier web/mobile applications, distributed microservices architectures, RESTful APIs, and enterprise API Gateways to quickly isolate components during an incident.

Hybrid-Cloud Infrastructure Exposure:



Extensive exposure to managing and supporting enterprise-scale banking operations running across Azure (preferred) or AWS, alongside traditional On-Premises corporate data centers.

SQL Shell Scripting Proficiency: Advanced hands-on skills in writing SQL queries across multiple enterprise databases (Oracle, SQL Server, PostgreSQL) and high proficiency in Shell Scripting (Bash/Unix) to manipulate logs, query data anomalies, and run terminal level triage.

Programming Language Knowledge: Strong code-reading and diagnostic knowledge of Python or Java to analyze error stack traces and partner with developers on fixes (no active coding or application development required).

Containerization Orchestration Exposure: Operational exposure to containerized applications running on Docker and Kubernetes (AKS/EKS) to navigate clusters, check pod states, and extract logs during incidents. Monitoring Observability Platforms: Expert usage of enterprise observability platforms (Datadog, Splunk, Dynatrace, Prometheus, Grafana) for multi-tier log correlation, telemetry metrics analysis, and proactive performance
bottleneck detection.

CI/CD DevOps Workflow Familiarity: Practical knowledge of DevOps pipelines (GitLab CI, Azure DevOps, or Jenkins) and up-to-date AI engineering assistants to quickly trace and isolate deployment-related regressions (no active pipeline development required).

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Devops Production Support Professional (Chennai)
🏢 Intuitive Apps
📍 Chennai