Dec 2022 – Aug 2025 · 2 yrs 8 mos · Bangalore Urban, Karnataka, India

• Head of AM Web Platform Enablement Engineering
• Driving Cloud & Engineering Strategy for Scalable Web Platform Enablement
• Leading cloud transformation initiatives, designing scalable, secure, and cost-efficient cloud architectures for financial applications.
• Modernizing enterprise cloud platforms, integrating AWS, Kubernetes, and DevOps automation to enhance scalability, resilience, and regulatory compliance.
• Optimizing cloud infrastructure, reducing operational costs by 30% through cloud governance, automation frameworks, and security best practices.
• Collaborating with senior leadership and cross-functional teams to align technology investments with business objectives and regulatory requirements.
• Enhancing sales technology with data-driven analytics, improving lead generation, investment insights, and operational efficiency through advanced data pipelines and integrated analytics.
• Core Competencies
• Cloud Strategy & Infrastructure – AWS, Kubernetes, Multi-Cloud Architecture, Serverless Computing
• Enterprise Platform Modernization – Application Migration, CI/CD Pipelines, Microservices, Infrastructure as Code (IaC)
• Regulatory Compliance & Security – Cloud Security, IAM, Governance, Risk, and Compliance (GRC)
• Data & Analytics – Data Engineering, Real-time Analytics, Investment & Wealth Management Platforms

Dec 2020 – Dec 2022 · 2 yrs · Bangalore Urban, Karnataka, India

• Globally Leading Cloud storage and distributed messaging Infrastructure across Marcus
• Building a resilient cloud storage and messaging platform.
• Built different variants of Distributed Messaging infrastructure ( self-hosted Kafka cluster, Confluent cloud Kafka clusters, and AWS MSK serverless Kafka cluster ) via Terraform modules, Ansible playbooks, and automations across Marcus.
• Running & managing Atlas cloud Mongo clusters via Terraform modules across Marcus.
• Centralised, Cost-efficient, configuration/variable-driven automation running in plug-and-play mode to manage Kafka and MongoDB cluster at the data plane.
• Metrics aggregation, Monitoring, Alerting, and Backup for resilient and reliable Storage(Mongo) and distributed(Kafka) infrastructure to provide millions of reads and writes per second / minute.
• Effectively managing vendor engagement, including contract renewals and budgeting.

Jul 2019 – Dec 2020 · 1 yr 5 mos · Bangalore Urban, Karnataka, India

• Global Cloud Platform Infrastructure team member for Apple card(Marcus).
• Automation solutions for increasing developer productivity and create CI/CD pipeline in AWS cloud.
• Provisioning & Running & Managing self-hosted SDLC infrastructure bitbucket, bamboo, terraform, nexus repository manager in AWS cloud.
• Automate backup solutions.
• Repave SDLC infrastructure on regular basis without causing any downtime

Oct 2018 – Jun 2019 · 8 mos · Bengaluru Area, India

• DevOps Lead – Early-Stage Startup
• As the first DevOps Engineer in a rapidly growing startup, I was pivotal in designing, implementing, and scaling the entire cloud infrastructure on Google Cloud Platform (GCP) to support exponential business growth. My responsibilities included ensuring high availability, scalability, and cost optimization while handling millions of requests and terabytes of data efficiently.
• Key Contributions & Achievements
• Infrastructure Design & Scaling
• Designed and deployed a highly available and scalable infrastructure on GCP, optimizing resources to handle large-scale data and request loads.Leveraged Kubernetes with preemptible VMs to reduce operational costs while maintaining reliability.
• Monitoring & Alerting System
• Implemented a centralized monitoring and alerting system to ensure 99.99% uptime of critical services.
• Set up Graphite & Grafana for real-time metrics collection and visualization.
• Nagios was deployed for comprehensive infrastructure monitoring, including metrics-based alerting for proactive issue resolution.
• Metrics Aggregation for Data Sources
• Developed an automated system for service discovery and metrics aggregation across critical infrastructure components such as VMs, Kafka, MongoDB, Redis, PostgreSQL, Sidekiq, and Kubernetes.
• Optimized infrastructure costs by running the entire monitoring stack on Kubernetes with preemptible VM instances.
• API Internal Services Management
• Designed and deployed stateless internal services (e.g., Kafka-Manager) with HTTPS-based endpoints for secure access.
• Leveraged Kubernetes to run internal services as pods, ensuring scalability, fault tolerance, and cost efficiency.
• Centralized Logging with ELK Stack
• Implemented ELK (Elasticsearch, Logstash, Kibana) for log aggregation, search, and real-time analysis, enabling faster issue resolution and operational insights.

Jul 2017 – Oct 2018 · 1 yr 3 mos

• Being just 2 member team, all roles and responsibilities related to cloud and on-premise infrastructure lies with us. We had to take care of alerting. monitoring, deployments, automation, database, access management, scaling infra, cost management, and automation required to make developers every day easier and to get away with ad-hoc tasks.
• HAproxy with dynamic backend servers inventory
• Design, build, and automated end-to-end cost-optimized in-house solution for consistent and weighted request routing to backend servers to scale as per QPS
• Daily Automated AMI backup
• Design, build, and an automated solution that will only take AMI of specific servers mentioned by users, at the same time making sure that sanity is maintained by deregistering AMI which has been created by the solution itself after “X” number of days.
• Slack notification from AWS Cloudwatch
• Implemented solution that will send alerts that are triggered in AWS Cloudwatch to Slack.
• As there is no direct way to send a notification to slack, wrote a Lambda function that will send slack notification about alerts details with SNS as a trigger point
• Monitoring and Alerting
• Implemented alerting and monitoring using Nagios, Graphite, Grafana, and Ansible to send notifications to respective teams

Jan 2017 – Jun 2017 · 5 mos