MUDDUKRISHNA H M
Bangalore
Summary
Dynamic Senior DevOps Engineer with a proven track record at Progress Software, specializing in AWS Cloud and Terraform automation. Achieved a 30% reduction in post-deploy incidents through AI-driven solutions. Adept at fostering collaboration across teams while implementing robust CI/CD pipelines and enhancing security practices.
Overview
8
8
years of professional experience
Work History
Sinor Devops Engineer
Nurix.ai
Bangalore
11.2025 - Current
- Migrated EC2-based services to Amazon EKS using Helm charts and GitHub Actions, improving deployment consistency and scalability.
- Implemented centralized user management with Single Sign-On (SSO) to streamline authentication and reduce credential sprawl.
- Designed and automated secure API exposure using API Gateway and Lambda with custom authorizers, leveraging AWS Chalice for deployment and management.
- Enabled rulesets and enforced merge checks, improving code quality and reducing faulty deployments.
- Enhanced CI/CD workflow logging, significantly improving troubleshooting and root-cause analysis for deployment failures.
- Implemented a full observability stack using Grafana, Prometheus, Loki, Thanos, and Tempo, enabling metrics, logs, and tracing visibility for development teams.
- Implemented platform-wide scalability by deploying KEDA to support event-driven autoscaling using multiple triggers (e.g., queue depth), and Karpenter for dynamic cluster scaling across all clusters.
- Designed and implemented production-grade, self-hosted platforms for open-source tools (Langfuse, Deepgram, ClickHouse, Airbyte), optimized for scalability, performance, and cost efficiency.
Senior DevOps Engineer
Progress Software, CSG
Bangalore
07.2023 - 10.2025
- Led AI-driven DevOps initiatives for high-availability systems, owning production deployments, release reliability, and incident response across environments.
- Architected AWS network-level foundations for microservices, including VPC design, private/public subnets, egress via NAT gateways, and layered security controls (Security Groups, WAF, Shield, GuardDuty, IAM).
- Designed and integrated API-driven, event-based queuing systems using API Gateway, Lambda, SQS, and SNS to enable secure, scalable communication across distributed microservices.
- Led migration from Jenkins and self-managed Bitbucket to Harness AI DevOps and GitHub, automating multi-environment CI/CD pipelines and improving deployment efficiency.
- Architected and owned a Terraform Cloud multi-workspace platform, enabling easy microservice onboarding with automated workspace creation, remote state isolation, and Vault-based secret injection.
- Designed and implemented AI-driven regression detection embedded into CI/CD pipelines, leveraging NLP models to analyze logs, metrics, and traces for early failure signals.
- Reduced post-deployment incident frequency by 30% and significantly improved MTTR through proactive, automated release validation and remediation.
- Architected cloud-native release workflows for desktop and iOS, ensuring reproducible builds, secure artifact delivery, and standardized CI/CD practices.
- Built reusable shared libraries and Python-based automation modules, integrated into release pipelines to standardize workflows and optimize build efficiency and runtime performance.
- Established organization-wide DORA metrics and observability practices, enabling data-driven decisions that improved release predictability, reduced MTTR, and increased overall engineering delivery efficiency across teams.
- Implemented SAML and OAuth-based SSO integrations across applications using Okta and Active Directory, enabling secure enterprise authentication, API authorization, and faster developer onboarding.
- Supported .NET, Python, C#, and iOS development workflows, modernizing legacy pipelines through Harness, Terraform, and container orchestration.
Senior DevOps Engineer
Qprofiles
Bangalore
04.2020 - 06.2023
- Designed AWS networking and compute foundations (VPC layouts, subnet isolation, routing, IAM role boundaries) to support multi-environment production workloads.
- Built Jenkins pipeline frameworks using shared libraries and Python helpers, enforcing standardized build, versioning, and promotion logic across teams.
- Authored Terraform modules with strict input/output contracts, remote state isolation, and drift detection, enabling safe multi-environment rollouts.
- Developed Python automation to handle release gating, environment health validation, Terraform state migrations, and cleanup of deprecated infrastructure.
- Implemented a centralized log and metric ingestion pipeline using CloudWatch Logs and Kinesis Firehose, reducing mean time to identify release-related issues.
- Reworked autoscaling policies and capacity baselines based on traffic patterns, eliminating over-provisioned resources and stabilizing peak-hour performance.
- Standardized container build practices by restructuring Dockerfiles, introducing pinned base images, multi-stage builds, and deterministic image tagging.
- Embedded security checks directly into build and release workflows, including secrets detection and dependency validation, blocking releases on policy violations.
- Owned production release execution for critical services, coordinating dry runs, canary rollouts, rollback automation, and post-deployment verification.
- Created and maintained operational runbooks and automation for on-call scenarios, reducing manual intervention during incidents and releases.
DevOps Engineer
MetricStream
08.2018 - 04.2020
- Developed Bash-based automation integrated with Ansible to perform sequential patching and configuration updates across on-premise nodes, with monitoring and failure handling.
- Implemented dynamic inventory management, post-patch validation checks, and basic rollback steps to reduce patch-related failures and improve upgrade reliability.
- Supported migration of on-premise workloads to AWS, assisting with application rehosting, database transitions, VPC design, security groups, and KMS-based encryption.
- Converted legacy build scripts into Dockerfiles, standardizing application packaging and enabling consistent containerized deployments.
- Built and hardened OCI-compliant container images using multi-stage builds, minimal base images, and security scanning to reduce attack surface.
- Managed JFrog Artifactory repositories for libraries, Docker, Helm, and build artifacts, implementing repository layout, retention policies, and access controls.
- Created and maintained Parent and subcharts for Kubernetes deployments, parameterizing values per environment and supporting controlled rollbacks.
- Built Jenkins scripted pipelines with parallel stages, workspace cleanup, and Slack notifications to improve build visibility and execution speed.
Education
Bachelor of Engineering -
Adichunchanagiri Institute of Technology
Chikmagalur01.2016
Skills
- Cloud and infrastructure management
- AWS and Terraform expertise
- Kubernetes orchestration with Helm
- DevOps and CI/CD tools
- Jenkins, GHA, and Harness AI
- Containerization with Docker
- Scripting in Bash and Python
- Programming in Python and Groovy
- Observability and monitoring tools
- Grafana and New Relic proficiency
- Code quality assurance with SonarQube
- Security analysis with Black Duck and Coverity
- Vulnerability management solutions
- Wiz and Mend expertise
- Artifact management with JFrog
- Configuration management using Ansible
- Database management: MySQL, Oracle, PostgreSQL, MongoDB
Timeline
Sinor Devops Engineer
Nurix.ai
11.2025 - Current
Senior DevOps Engineer
Progress Software, CSG
07.2023 - 10.2025
Senior DevOps Engineer
Qprofiles
04.2020 - 06.2023
DevOps Engineer
MetricStream
08.2018 - 04.2020
Bachelor of Engineering -
Adichunchanagiri Institute of Technology