Madhur Tripathi profile photo 1 on Tal

Madhur Tripathi

Senior DevOps Engineer | Sense | Ex Morgan Stanley

India

5+ years of work experience

Sense
Jun 20251 yr 5 mosPresent

Bengaluru

* Built automated code & container vulnerability scanning, triage, and remediation workflows across 52K+ open issues, integrating Aikido with CI pipelines and ticketing to strengthen security posture and accelerate SOC 2 compliance readiness * Drove a zero-secrets-in-source initiative: remediated existing exposed credentials across repositories and introduced pre-commit hooks and CI gating to block future leaks, closing a long-standing gap flagged in security reviews * Matured the organization's security posture by operationalizing Aikido as the central AppSec platform for audit readiness: consolidating SAST, SCA, IaC, and container findings into a single source of truth, defining severity-based remediation SLAs, and producing the evidence trail relied on during compliance reviews * Led a proof-of-concept evaluating Trivy, an open-source scanner, as a complementary layer for ECR image scanning: benchmarked detection accuracy and runtime performance against incumbent tooling and authored a cost-benefit proposal (currently under review with senior leadership) projecting meaningful annual licensing savings with near-equivalent coverage on container CVEs * Partnered with the security architect to build an automated GuardDuty findings pipeline using Lambda, EventBridge, and DynamoDB that auto-creates Jira tickets in the team's existing workflow, surfacing security issues where engineers already operate, at near-zero ongoing cost, and ensuring nothing slips through unnoticed * Extended observability from backend to the browser by implementing Grafana Faro for frontend logging, error tracking, and Real User Monitoring (RUM), giving SREs and product teams visibility into actual user experience * Migrated previously click-ops AWS infrastructure into Terraform modules with remote state, introducing reusable patterns that achieved ~20% code deduplication and made changes auditable, peer-reviewed, and reproducible across environments
Morgan Stanley
Jan 20241 yr 6 mosJun 2025

* Designed a three-tier architecture on AWS for an application facilitating PII scanning * Leveraged Kubernetes and optimized usage of Helm charts to deploy microservices based applications * Automated the onboarding of vendor-provisioned Docker images, cutting manual effort * Implemented an advanced observability framework with CloudWatch, Prometheus, and Grafana * Organized FS-ISAC events in Mumbai and Bangalore, bringing together 600+ industry professionals
Morgan Stanley
Jul 20212 yrs 7 mosJan 2024

* Managed EKS clusters, automating Helm-based deployments, optimizing node scaling, and enforcing security with IAM roles and network policies * Accelerated PII scanning by developing RESTful API endpoints for automatic retrieval of database connection parameters from the central asset repository * Engineered a robust CI/CD pipeline, enforcing coding standards, static code analysis, and detection of security vulnerabilities
Wiley Edge
Apr 20214 mosJul 2021

National Institute of Technology Rourkela
Dec 20205 mosApr 2021

Madhur’s AI Stack

claude code
claude code
claude
claude
gemini
gemini
github copilot
github copilot
notion
notion
ChatGPT
ChatGPT

Education

Visvesvaraya Technological University

Bachelor of Engineering - BE, Electronics & Communication Engineering

Visvesvaraya Technological University

20174 yrs2021
kendriya vidyalaya

Secondary and Senior School, Computer Science

kendriya vidyalaya

20134 yrs2017

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Madhur Tripathi on Tal

Headline

Senior DevOps Engineer | Sense | Ex Morgan Stanley

About

DevOps Engineer with 5+ years of experience architecting and scaling cloud-native infrastructure on AWS and Azure, with a strong focus on Kubernetes, security, and automation. Delivered ~$120K+ in annual cloud cost savings, drove SOC 2 readiness by automating remediation across 52K+ vulnerabilities, and cut deployment lead times by up to 95% through IaC and CI/CD modernization. Built LLM-powered automation that turns Jira tickets into Terraform PRs, reclaiming ~3 engineering days/month for tech-debt work. Comfortable owning production systems end-to-end, from Terraform to incident response, and mentoring engineers along the way.

Location

India

AI stack

claude code

claude

gemini

github copilot

notion

ChatGPT

Work experience

Senior DevOps Engineer at Sense, Jun 2025 - Present · 1 yr 5 mos, Bengaluru, * Built automated code & container vulnerability scanning, triage, and remediation workflows across 52K+ open issues, integrating Aikido with CI pipelines and ticketing to strengthen security posture and accelerate SOC 2 compliance readiness * Drove a zero-secrets-in-source initiative: remediated existing exposed credentials across repositories and introduced pre-commit hooks and CI gating to block future leaks, closing a long-standing gap flagged in security reviews * Matured the organization's security posture by operationalizing Aikido as the central AppSec platform for audit readiness: consolidating SAST, SCA, IaC, and container findings into a single source of truth, defining severity-based remediation SLAs, and producing the evidence trail relied on during compliance reviews * Led a proof-of-concept evaluating Trivy, an open-source scanner, as a complementary layer for ECR image scanning: benchmarked detection accuracy and runtime performance against incumbent tooling and authored a cost-benefit proposal (currently under review with senior leadership) projecting meaningful annual licensing savings with near-equivalent coverage on container CVEs * Partnered with the security architect to build an automated GuardDuty findings pipeline using Lambda, EventBridge, and DynamoDB that auto-creates Jira tickets in the team's existing workflow, surfacing security issues where engineers already operate, at near-zero ongoing cost, and ensuring nothing slips through unnoticed * Extended observability from backend to the browser by implementing Grafana Faro for frontend logging, error tracking, and Real User Monitoring (RUM), giving SREs and product teams visibility into actual user experience * Migrated previously click-ops AWS infrastructure into Terraform modules with remote state, introducing reusable patterns that achieved ~20% code deduplication and made changes auditable, peer-reviewed, and reproducible across environments

Platform Engineer, DevOps and SRE at Morgan Stanley, Jan 2024 - Jun 2025 · 1 yr 6 mos, * Designed a three-tier architecture on AWS for an application facilitating PII scanning * Leveraged Kubernetes and optimized usage of Helm charts to deploy microservices based applications * Automated the onboarding of vendor-provisioned Docker images, cutting manual effort * Implemented an advanced observability framework with CloudWatch, Prometheus, and Grafana * Organized FS-ISAC events in Mumbai and Bangalore, bringing together 600+ industry professionals

DevOps Engineer, Consultant | Wiley Edge at Morgan Stanley, Jul 2021 - Jan 2024 · 2 yrs 7 mos, * Managed EKS clusters, automating Helm-based deployments, optimizing node scaling, and enforcing security with IAM roles and network policies * Accelerated PII scanning by developing RESTful API endpoints for automatic retrieval of database connection parameters from the central asset repository * Engineered a robust CI/CD pipeline, enforcing coding standards, static code analysis, and detection of security vulnerabilities

Software Development Engineer at Wiley Edge, Apr 2021 - Jul 2021 · 4 mos

Research And Development Intern at National Institute of Technology Rourkela, Dec 2020 - Apr 2021 · 5 mos

Education

Bachelor of Engineering - BE, Electronics & Communication Engineering, Visvesvaraya Technological University

Secondary and Senior School, Computer Science, kendriya vidyalaya