DevSecOps Lead

Cloud Architect • Security Engineer • Innovation Driver

Enthusiastic technical professional with expertise in the software development lifecycle (SDLC), specializing in problem-solving and optimizing DevOps processes. Committed to fostering collaboration and continuous improvement, driving innovation and streamlining workflows.

Professional Experience

DevSecOps/SRE Lead
Contractual Projects | Leena AI | Bayone Solutions
2024 July - Present
  • Integrated security within the DevOps lifecycle for continuous improvement
  • Led compliance engineering efforts, achieving ISO 27001 and SOC 2 certifications
  • Automated processes improving efficiency, reducing cloud costs from $70k to $40k
  • Implemented MLOps pipelines for seamless ML model integration into production
  • Deployed SIEM within Kubernetes clusters contributing to SOC 2 certification
DevSecOps Lead
Aster DM Healthcare
2023 July - 2024 July
  • Reduced cloud costs from $140k to $40k through strategic resource optimization
  • Spearheaded cross-vertical collaboration enabling faster release cycles with zero downtime
  • Designed microservices architecture improving operational efficiency and scalability
  • Utilized Infrastructure as Code (IaC) via Terraform for Kubernetes cluster provisioning
  • Executed seamless NoSQL and Cloud SQL database migrations across cloud providers
Solutions Architect
Nagarro
2022 - 2023
  • Migrated monolith backend to microservices architecture on AWS Cloud for Ericsson India
  • Built AWS infrastructure from scratch including EKS cluster and MySQL managed database
  • Migrated on-premise application to AWS for Mercedes Benz USA
  • Implemented comprehensive observability with Prometheus, Grafana, and Jaeger
  • Deployed microservices with Helm charts including k8s ingress and RabbitMQ
DevOps/SRE
LTI
2018 - 2022
  • Ensured high availability, reliability, and zero downtime of applications
  • Designed scalable and elastic infrastructure with VPC, subnet, and NAT networking
  • Automated backend application deployment through Dockerized CI/CD pipelines
  • Managed large-scale, multi-node Kafka cluster environments
  • Implemented EFK stack for data visualization, log analysis, and alerting

Complex Technical Projects

Enterprise API Performance Optimization
Performance
Led comprehensive performance tuning initiative for mission-critical APIs serving 10M+ daily requests. Implemented advanced caching strategies, database query optimization, and microservices architecture redesign to achieve exceptional performance gains.
Redis Elasticsearch New Relic Kubernetes Python PostgreSQL

Performance Improvements

85% Latency Reduction
300% Throughput Increase
99.9% Uptime Achieved

Key Challenges Solved

  • Database N+1 query optimization reducing DB load by 70%
  • Implemented distributed caching with Redis Cluster
  • Custom load balancing algorithm for uneven traffic patterns
  • Real-time monitoring with custom Prometheus metrics
6 Months Duration • Production Ready
Multi-Cloud Compliance & Security Framework
Security
Architected and implemented comprehensive security and compliance framework across AWS, Azure, and GCP. Achieved ISO 27001 and SOC 2 Type II certifications while maintaining operational efficiency and establishing zero-trust security model.
Terraform Vault SIEM OPA Falco AWS Config

Compliance Achievements

2 Certifications
100% Audit Pass Rate
0 Security Incidents

Implementation Highlights

  • Automated compliance checks with custom policy engines
  • Cross-cloud identity federation and RBAC implementation
  • Real-time threat detection with ML-powered SIEM
  • Encrypted data pipelines with end-to-end key management
8 Months Duration • Enterprise Scale
Mobile App CI/CD Pipeline with Security Gates
Mobile DevOps
Designed and implemented advanced CI/CD pipeline for iOS and Android applications with integrated security scanning, automated testing, and progressive deployment strategies. Reduced release cycle from weeks to hours while maintaining high quality standards.
Fastlane Jenkins Bitrise SonarQube TestFlight Firebase

Deployment Efficiency

92% Time Reduction
45 Daily Builds
99.2% Success Rate

Advanced Features

  • Automated security vulnerability scanning in mobile dependencies
  • Progressive rollout with automatic rollback triggers
  • Cross-platform testing on 50+ device configurations
  • Code signing automation with certificate management
4 Months Duration • Multi-Platform
Active-Active Disaster Recovery Architecture
Infrastructure
Architected and deployed enterprise-grade active-active disaster recovery solution across multiple geographic regions. Implemented real-time data synchronization, automated failover mechanisms, and comprehensive monitoring to ensure business continuity.
AWS Route 53 RDS Multi-AZ CloudFormation Lambda ElastiCache S3 Cross-Region

Reliability Metrics

15s RTO Target
1min RPO Target
99.99% Availability SLA

Technical Implementation

  • Global load balancing with health-based routing
  • Real-time database replication across 3 regions
  • Automated infrastructure provisioning and scaling
  • Comprehensive disaster recovery testing automation
10 Months Duration • Global Scale
Active-Passive DR with Automated Failover
Infrastructure
Implemented cost-effective active-passive disaster recovery solution with intelligent monitoring and automated failover capabilities. Designed warm standby infrastructure that activates within minutes of primary site failure while optimizing operational costs.
Terraform Ansible AWS Lambda CloudWatch RDS Snapshots EBS Volumes

Cost & Performance

60% Cost Savings
5min Failover Time
15min RPO Target

Automation Features

  • Intelligent health monitoring with custom metrics
  • Automated infrastructure warm-up and scaling
  • Data synchronization with minimal lag tolerance
  • Failback automation with data consistency checks
7 Months Duration • Cost-Optimized
MLOps Pipeline with Real-time Model Deployment
Machine Learning
Built comprehensive MLOps pipeline enabling continuous integration and deployment of machine learning models. Implemented automated model training, validation, A/B testing, and real-time monitoring with automatic model rollback capabilities.
Kubeflow MLflow TensorFlow Seldon Argo CD Prometheus

ML Pipeline Efficiency

80% Faster Deployment
95% Model Accuracy
24/7 Automated Monitoring

Advanced ML Features

  • Automated hyperparameter tuning with Bayesian optimization
  • Canary deployments for model versions with traffic splitting
  • Data drift detection with automatic retraining triggers
  • Model explainability and bias detection in production
5 Months Duration • AI/ML Focus

Technical Expertise

Cloud & Infrastructure

AWS Azure GCP Terraform Kubernetes Docker

DevSecOps

Jenkins ArgoCD GitLab SIEM VAPT ISO 27001

Monitoring & Logging

Prometheus Grafana ELK Stack Loki Jaeger OpenTelemetry

Data & Messaging

Kafka RabbitMQ MySQL NoSQL Schema Registry KSQL

Let's Connect

Ready to optimize your cloud infrastructure and enhance security? Let's discuss how we can drive innovation together.

+91 9984534365
arpitnigam2020@gmail.com
Gurugram, Haryana