---
title: "Pavan Kumar Reddy M - SRE Lead / Engineering Lead | Banking & Payments in Hyderabad | Tal"
description: "Meet Pavan Kumar Reddy M, Lead SRE | Performance Engineer | ↓40% MTTR · ↓35% alert noise · 3,000 TPS @ 99.95% | Dynatrace · Prometheus · Kubernetes · Datadog · Load Runner | Observability · SQL Tuning | 13 yrs | Open to Staff/Lead SRE/Performance based in Hyderabad. AI stack includes cursor, openco..."
image: "https://tal.club/meet/pavan-kumar-reddy-m/share-image"
---

# Pavan Kumar Reddy M on Tal

## Headline

Lead SRE \| Performance Engineer \| ↓40% MTTR · ↓35% alert noise · 3,000 TPS @ 99\.95% \| Dynatrace · Prometheus · Kubernetes · Datadog · Load Runner \| Observability · SQL Tuning \| 13 yrs \| Open to Staff/Lead SRE/Performance

## About

I’m an SRE Lead / Performance Engineering Lead who has driven 3,000 TPS at 99\.95% availability for ISO8583 banking APIs while reducing repeat P1/P2 incidents by 40%\. I specialize in Observability Architecture, SLO/Error Budget governance, and Chaos Engineering for large\-scale banking, insurance, and digital platforms\. My focus is building resilient systems, reducing operational toil, and improving production reliability through automation and measurable engineering practices\. At Yorkshire Building Society, I reduced MTTR by 40% through blameless post\-mortems, RCA culture, and automated remediation workflows\. At Publicis Sapient, I reduced alert noise by 35% by implementing intelligent observability with Dynatrace, Prometheus, and Grafana\. I’ve sustained 3,000 TPS with <0\.01% error rates for high\-volume ISO8583 payment systems through JVM, GC, SQL, and Kubernetes optimization\. I also eliminated 80% of reliability toil — saving \~15 engineering hours per week — by integrating Jenkins and GitLab CI/CD automation, SLO gates, and rollback controls into delivery pipelines\. Dynatrace · Datadog · Prometheus · Grafana · Splunk · New Relic · Kubernetes · Helm · AWS · Terraform · Ansible · Jenkins · GitLab · LoadRunner · JMeter · Locust · Python · Bash Currently exploring Staff SRE / SRE Lead roles — open globally, remote preferred\.

## Location

Hyderabad

## AI stack

cursor

opencode

claudecode

## Work experience

SRE Lead / Engineering Lead \| Banking & Payments at Publicis Sapient, Jul 2025 \- Present · 1 yr 2 mos, Hyderabad, Telangana, India, Architected enterprise SLO/SLI and error\-budget frameworks for ISO8583 banking APIs, sustaining 99\.95% availability and p99 latency below 250ms to improve transaction reliability under peak financial workloads\. Led P1/P2 incident command operations and blameless post\-mortems, reducing repeat production incidents by 40% and strengthening operational resilience across payment platforms\. Engineered full\-stack observability using Dynatrace, Prometheus, and Grafana, implementing Golden Signal dashboards and intelligent alert correlation that reduced alert noise by 35%\. Executed Chaos Engineering experiments including pod termination, latency injection, dependency blackout, and Nginx failure simulations to validate failure isolation and recovery readiness across Kubernetes environments\. Automated 80% of operational toil through Jenkins and GitLab CI/CD pipelines, integrating SLO quality gates and canary rollback triggers that reclaimed approximately 15 engineering hours per week\. Mentored and coached 6 reliability engineers on service ownership, error\-budget governance, and toil reduction practices, improving SRE maturity across delivery teams\. Optimized JVM, GC, SQL, and Kubernetes runtime configurations to sustain 3,000 TPS under peak ISO8583 transaction loads while maintaining 99\.95% platform availability\. Integrated JMeter and Locust performance validation into CI/CD pipelines, enabling proactive scalability certification and reducing production performance regression risk across critical banking services\.

SRE Lead / Performance Engineering Lead at Deloitte, Jul 2024 \- Jul 2025 · 1 yr 1 mo, Hyderabad, Telangana, India, Defined SRE governance and SLO/SLI baselines for a mainframe\-to\-microservices modernization program, ensuring service continuity and operational reliability during large\-scale platform migration\. Governed error\-budget policies tied to deployment velocity, achieving 100% SLA compliance across 12\+ production releases while improving release confidence and stability\. Directed P1 incident response for critical DB2 bottlenecks using Dynatrace distributed tracing, restoring services within 20 minutes and increasing application throughput by 80%\. Conducted Game Day and failure\-injection exercises covering JVM memory pressure, database connection exhaustion, and Kubernetes batch overload scenarios to improve production readiness\. Automated performance certification workflows using Locust, Control\-M, and GitLab CI/CD, eliminating manual validation handoffs and accelerating deployment readiness cycles\. Standardized observability and operational diagnostics across microservices using Dynatrace, Helm, and Kubernetes monitoring patterns to reduce incident escape rates by 25%\. Tuned SQL execution plans and JVM configurations for high\-volume transaction systems, improving system scalability and reducing latency under enterprise workloads\. Enabled continuous reliability validation through automated release gates, integrating performance and resiliency benchmarks directly into CI/CD delivery pipelines\.

SRE Lead / Performance Lead \| Digital Banking at Yorkshire Building Society, Aug 2023 \- Jul 2024 · 1 yr, Leeds, England, United Kingdom, Established the organization’s first enterprise SLO and Error Budget governance model, formalizing SRE practices across digital banking platforms and improving operational accountability\. Built observability standards across Dynatrace, AppDynamics, New Relic, Prometheus/Grafana, and ELK for 15\+ critical services, strengthening production visibility and incident diagnostics\. Facilitated 20\+ blameless post\-mortems and implemented Ansible\-driven auto\-remediation workflows, reducing MTTR by 40% and improving incident recovery consistency\. Automated reliability gates within Jenkins and GitLab CI/CD pipelines, enforcing rollback triggers on SLO violations and preventing unreliable deployments from reaching production\. Led Kubernetes reliability and scalability initiatives that improved platform scalability by 35% while supporting high\-volume digital banking workloads\. Reduced alert fatigue by 35% through intelligent monitoring thresholds, observability standardization, and service health correlation improvements\. Directed end\-to\-end load, stress, soak, and failover testing strategies across distributed banking applications to validate resiliency under production\-scale demand\. Integrated JMeter, Locust, and LoadRunner into CI/CD pipelines, enabling continuous performance validation and earlier detection of scalability regressions\.

Relocation at Career Break, May 2023 \- Aug 2023 · 4 mos, London Area, United Kingdom

SRE Lead / Performance Lead at ValueMomentum, Aug 2019 \- May 2023 · 3 yrs 10 mos, Hyderabad, Telangana, India, Designed SLO/SLI governance and reliability frameworks for enterprise insurance platforms spanning web, API, and mobile channels to improve service stability and customer experience\. Implemented Dynatrace and Datadog observability solutions with automated operational runbooks, reducing MTTR from more than 2 hours to under 45 minutes\. Enabled proactive production monitoring through New Relic synthetic checks that identified and prevented 6 customer\-impacting issues before release exposure\. Managed Kubernetes platform operations including Helm deployments, autoscaling policies, and Nginx ingress optimization for high\-traffic insurance workloads\. Reduced incident escape rates by 30% through improved observability standards, RCA practices, and operational readiness validation\. Automated deployment and reliability workflows across CI/CD pipelines, improving release consistency and reducing manual operational overhead\. Led enterprise\-scale performance engineering initiatives using LoadRunner Cloud and JMeter, validating scalability and resiliency across distributed insurance systems\. Optimized SQL queries, JVM performance, and infrastructure capacity planning using Dynatrace APM diagnostics to improve transaction throughput and application responsiveness\.

## Education

Batchelors Technology, Information Technology, Jawaharlal Nehru Technological University, Anantapur

[View the original profile](https://tal.club/meet/pavan-kumar-reddy-m)

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