Headline

SRE | GCP | Automation | Observability | Driving Reliability & Efficiency

About

Site Reliability Engineer with around 4 years of experience across Investment Banking and Finance Platform domains, specialising in GCP-based systems, production support, and operational automation. Proven expertise in ensuring high availability and reliability of critical financial systems through incident management, root cause analysis (RCA), and observability improvements. Skilled in managing Kubernetes workloads, Airflow (Composer) pipelines, and large-scale data processing systems, with strong hands-on experience in monitoring tools such as Dynatrace, Splunk, AppDynamics, and Tivoli. Demonstrated success in driving automation initiatives using Power Automate, reducing manual effort and improving incident response times. Strong background in alert optimisation, performance tuning, and SLA-driven operations, with the ability to own and resolve high-volume production incidents while minimising business impact. Experienced in collaborating with cross-functional teams to ensure seamless release cycles and system stability. Committed to continuous improvement, with a focus on automation-first thinking, observability, and operational excellence in cloud-native environments.

Location

Hyderabad

AI stack

github copilot

ChatGPT

Microsoft Copilot

Work experience

Site Reliability Engineer at Lloyds Technology Centre India, Mar 2025 - Present · 1 yr 9 mos, Hyderabad, As part of the Finance Platform RUN team, driving reliability, automation, and operational excellence for GCP-based finance systems. 🔹Core Responsibilities Ensure stability and availability of GCP Finance Data Foundation (GCP DF) and Prophet Modelling systems through proactive monitoring and incident management. Manage and troubleshoot Kubernetes workloads, Cloud Composer (Airflow) pipelines, and data ingestion processes to ensure continuity of critical finance operations. Lead incident triage, root cause analysis (RCA), and resolution for production issues, maintaining SLA adherence and minimising business impact. Perform alert tuning and optimisation using Dynatrace, improving signal-to-noise ratio and operational efficiency. Monitor system health using observability dashboards, enabling early detection and faster resolution. Provide support during month-end critical batch cycles, ensuring seamless finance reporting. 🔹Key Achievements & Impact Delivered Power Automate-based alerting, integrating Dynatrace with Microsoft Teams to enable real-time incident notifications. Contributed to automation initiatives delivering ~2 hours/day reduction in manual effort, improving operational efficiency. Reduced false-positive and auto-resolved alerts, significantly improving alert quality and prioritisation. Owned and resolved majority (80–90%) of GCP DF production incidents, ensuring minimal business disruption. Led migration of Tivoli alerts to Dynatrace, modernising monitoring and improving observability. Automated call-out processes for Prophet Modelling (WD+1 to WD+5), enhancing proactive communication. Identified and resolved data quality issues, proactively raising code/data gaps to engineering teams. Highlighted and addressed performance bottlenecks, improving system efficiency. Contributed to SLA documentation and governance for critical finance applications.

Systems Engineer at Infosys, Feb 2023 - Mar 2025 · 2 yrs 2 mos, Pune District, Tech Support Analyst | Investment Banking @ UBS, Pune 🔹 Core Responsibilities Provided production support for secured funding, REPO, and trading workflows, ensuring stability of critical investment banking systems. Monitored and managed SOD, intraday, and EOD batch processes, ensuring seamless execution of finance operations with zero disruption. Delivered real-time technical support to traders, resolving trade booking and system issues to minimise downtime Managed incident triage, root cause analysis (RCA), and resolution, ensuring SLA adherence in a high-criticality environment. Configured and optimised monitoring and alerting systems (Splunk, AppDynamics) for proactive issue detection and system stability. Supported code deployments, release activities, and disaster recovery (DR) exercises, ensuring high availability and business continuity. 🔹 Key Achievements & Impact Reduced downtime and improved system stability by proactively identifying and resolving recurring production issues. Enhanced observability by optimising Splunk and AppDynamics alerting, enabling early detection of critical failures. Successfully managed major BAU incidents, delivering quick resolutions and preventing recurrence through RCA-driven fixes. Ensured zero-failure change releases during weekend deployments, through strong validation and coordination with cross-functional teams. Built and maintained a structured knowledge repository, improving team efficiency and accelerating onboarding of new members. Strengthened operational resilience by actively participating in DR drills and recovery scenarios.

Systems Engineer Trainee at Infosys, Oct 2022 - Feb 2023 · 5 mos, Mysore, Karnataka, India

Education

Bachelor of Engineering - BE, Computer Engineering, Gujarat Technological University (GTU)