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I’m Datta Miruke, a Software and DevOps Engineer with 25+ years of experience spanning system software, networking, databases, security, cloud computing, containerization, and Kubernetes. Over the years, I’ve played multiple roles in the software industry, evolving with emerging technologies and leading high-impact infrastructure, DevOps, and cloud-native transformations.

I specialize in designing and optimizing scalable, fault-tolerant, and highly available cloud architectures, with deep expertise in AWS, Kubernetes, Terraform, CI/CD automation, and AI infrastructure. My work has contributed to cloud migrations, AI-powered platforms, and mission-critical enterprise applications.

With a passion for cutting-edge technologies, automation, and security, I continuously explore ways to enhance observability, resilience, and performance in modern cloud ecosystems. Whether it's orchestrating AI workloads, building DevOps pipelines, or securing distributed systems, I thrive in solving complex challenges that push the boundaries of innovation.

Let’s connect and build the future of scalable and intelligent cloud infrastructure!

More

• Education

• Certification

• Key Achievements

• Industry Exerience

• Strengths

• Publications

• Awards

• Master of Science: Mathematics & Computer Science  - University of Denver, Denver CO, USA
• Electrical Engineering: Bombay University, Bombay(Mumbai),India

• Coursera: Google Cloud Machine Learning, Tensorflow, Build/Deploy ML models w/ Keras
• Coursera: Neural Networks, Deep Learning, Improving Deep Neural Networks
• Coursera: IBM Blockchain Foundation for developers,
  
• Coursera: Leadership
• AWS certified solutions architect & developer (In Progress)
• Kubernetes certified administrator (In progress)

• Designed multiple CI/CD for AWS FPGA Projects, w/ C12n, optimized AWS infrastructure
• Enhanced System Scalability, Performance & Resilience by applying Chaos Engineering (Cisco MSX)
• Enterprise-wide Monitoring, Alerting & Ticketing - Inventory tracking, Nagios XI & ELK Stack based integration with ServiceNow
• AI-Powered Video Analytics for Anomaly Detection (AIXIA) - Built & trained deep learning models for real-time video analytics.
• Predictive Fault Analysis Using AI (Cisco Data Center - Micro-VC Award)
• Successful migration of Informix Development Center from Singapore to Mumbai, India

• Computing Infrastructure (as Code) deployment, Observability, Monitoring & Troubleshooting
• Bioinformatics, Health
• Retail Commerce

• Kubernetes & Containers: Led containerization, multi-cluster Kubernetes deployments, and IaC automation with Terraform, Python, Ansible
  
• Programming & System Development: Proficient in Python, Typescript,  Golang & developing test/performance/automation frameworks & high-performance dis: tributed systems.
• Observability & Monitoring: Built enterprise-wide & cloud native monitoring solutions using NagiosXI, ELK,, Splunk, Prometheus,Grafana,
• Cloud & DevOps: Design & optimize scalable, cloud-native architectures using AWS, Terraform, CI/CD Automation
  
• Distributed Systems & Security: Architected secure, resilient distributed systems with expertise in SDN, service mesh, RBAC, and IAM security policies
  
• Performance & Reliability: Enhanced system robustness through chaos-engineering, failure injection, and proactive scalability & performance testing.
  
• AI/ML & Edge Computing: Developed AI-driven video analytics model; GenAI LLM, RAG & Agents ;
  
• Mentoring, Training & Consulting: As part of the regular positions & personal business for training fresh engineers for consulting companies
  
• Leadership & Strategic Impact: Built, & Led SDE team; Led cross-functional teams ; Led team for cloud adoption, DevOps best practices, & automation; Project and Team Manager during Informix  offshore project migrations
• Founded/Co-founded Start Ups: Leverage cutting edge technologies, solving problems & finding opportunities

• Contributed chapter on the Routing in the Internet in “ Convergence through All IP Networks - CRC Press, Nov 2012. - on IP networking, published by(http:/www.crcnetbase.com/isbn/9 789814364645)
• An analysis of Vax/VMS security - Presented at 1985 USENIX conference In Denver, CO, USA -Demonstrating one of the earliest Vax/VMS penetration

• Awarded micro-VC award within the Cisco Data Center business unit, for introducing and building up on the idea of Predictive Fault Analysis tool , based on the Artificial Immune System(AIS).

• Seeking a Staff/Principle Engineer/Lead position in Infrastructure, DevOps, Product Development or Management area.
• Accomplished Senior DevOps Engineer with a proven track record, architecting, building & enhancing CI/CD pipelines & leveraging AWS services to streamline operations.
• In depth experience in Distributed systems in Cloud, Container & Kubernetes Expert in Cloud & Programming languages, demonstrating leadership in integrating cutting-edge technologies and fostering team cohesion.
• Achieved a 20% reduction in Build-Release cycle, showcasing exceptional project management and technical skills.
• Deployed/Maintained monitoring, observability platforms in multiple projects. Continuous learner & critical thinker.
• Roles in Dev, Architecture, SDE, DevOps, SRE, System Administration, & Management.
• Good Communicator & Leadership skills.

Programming Languages : Proficient in Python, Golang, Typescript, C, C++, and Shell scripting, with a focus on system performance optimization, high-availability architectures, and scalable microservices. Extensive experience in APIs, search indexing, AI-driven recommendations, and distributed computing.

DevOps & CI/CD: Advanced skills in orchestrating, automating, and optimizing CI/CD pipelines using Jenkins, GitHub Actions, AWS CDK, CloudFormation, and Ansible. Developed fully automated deployment workflows, reducing release cycle times by 35% while improving system reliability and security through GitOps and DevSecOps practices.

Containers & Orchestration: Extensive experience with Docker, Kubernetes, Istio, Envoy, and Consul, specializing in containerized microservices, service mesh, and workload orchestration. Improved service reliability by 30% using traffic routing, observability, and auto-scaling strategies.

Networking/Security: Deep expertise in L2-L7 networking, SDN, and cloud security, including TCP/IP, SSL/VPN, RBAC, PKI, and micro segmentation. Designed secure, compliant, and highly available cloud architectures, ensuring data integrity and resilience.

Observability/Monitoring:  Extensive experience with Docker, Kubernetes, Istio, Envoy, Consul and containerized microservices architecture. Improved service reliability by 30% using service mesh technologies,

Databases:  Deep knowledge of relational and NoSQL databases, including MySQL, PostgreSQL, MongoDB, Redis, Cassandra, and CockroachDB. Experience in database replication, sharding, and indexing for large-scale data workloads.

System Design & Architecture: Proven expertise in large-scale, distributed system design, covering capacity planning, high availability, performance tuning, and cost-optimized cloud architectures. Strong understanding of search indexing, caching strategies, and AIdriven personalization.,

Virtualization & Computing Environments: Expert in Linux, Unix, and Windows environments, with experience in HPC clusters, QEMU/KVM, OpenStack, VMware (ESXi, NSX), and Vagrant. Designed custom VM/containerized environments for specialized workloads.

AI/ML & Search Technologies:  Hands-on experience in deep learning, machine learning, and AI-driven search ranking & recommendations using PyTorch, TensorFlow, and predictive analytics models. Developed video analytics ML models and optimized search relevancy tuning, personalization, and recommendation engines.

Computing & High-Performance Systems: Extensive expertise in Linux (internals, system administration), Unix, and Windows environments, spanning bare metal, virtualized, and cloud-native computing architectures. Specialized in High-Performance Computing (HPC) clusters, with experience in workload scheduling, parallel processing, and GPU acceleration for AI/ML and large-scale computational tasks.