Sr Project Lead-App Development

Actively Reviewing

Birlasoft

Hyderabad Full-Time 4–8 yrs exp Posted 1 day ago · Apply by Sep 14, 2026

Job Description

Area(s) of responsibility

Job Description: Reliability Sr. Tech Lead/Architect – 5B

Reliability Architect with 8 to 12 years of experience in proactive monitoring, automation, and observability. Skilled in AIOps/MLOps, infrastructure management, and performance optimization using modern tools and practices. Adept at leading incident response, mentoring support teams, and driving cross-functional collaboration to ensure system reliability and scalability.

Key Responsibilities

Monitoring and Automation Proactively monitor software systems to prevent incidents and automate routine operational tasks.
Effective Monitoring Design monitoring systems that trigger alerts based on symptoms rather than outages, ensuring early detection and resolution.
Application Performance Monitoring (APM) Implement and manage APM tools like New Relic or Dynatrace to track application performance, identify bottlenecks, and optimize resource usage.
Log Analysis with Splunk Use Splunk to analyze logs for troubleshooting, anomaly detection, and improving system reliability.
Dashboards Preparation Build intuitive dashboards to visualize system health, performance metrics, and operational KPIs.
Alerts Setup Configure intelligent alerts based on thresholds and anomalies to ensure timely incident response.
Reports Scheduling Automate regular reporting to provide insights into system performance, reliability, and trends.
Reliability Metrics Define and track metrics such as SLOs, SLIs, and error budgets to measure and maintain system reliability.
Observability Skills Apply observability practices including distributed tracing, logging, and metrics collection to gain deep insights into system behavior.
AI-Driven Monitoring & Automation Utilize AIOps techniques to proactively detect anomalies, automate incident response, and enable self-healing systems through intelligent alerting and predictive analytics.
Observability & ML Integration Integrate machine learning models with observability tools to enhance system insights, optimize performance, and ensure reliability of AI-powered services in production.
Cross-Team Collaboration Work closely with development and support teams to enhance service reliability through rigorous testing and release procedures.
Capacity Planning Participate in system design reviews and capacity planning to ensure scalability and performance.
Debugging and Incident Response Lead incident response efforts, analyze debugging information, and manage rollbacks of faulty software deployments.
Mentoring Support Teams Guide and mentor L1/L2 support teams to establish best practices in monitoring and observability.
Infrastructure Management Manage infrastructure using tools like Chef, Ansible, Terraform, GitLab CI/CD, and Kubernetes.
Documentation Maintain comprehensive documentation of processes and procedures to ensure operational consistency and reduce redundancy.
Proactive Mindset Approach challenges with enthusiasm, ownership, and a continuous improvement mindset.