Naveen Thomas Prasad

SRE (Site Reliability Engineer)

Bengaluru, Karnataka, India11 yrs 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Over a decade of experience in Site Reliability Engineering.
Expertise in cloud management and Kubernetes orchestration.
Currently expanding skills in Data Science and AI.

Stackforce AI infers this person is a SaaS Infrastructure Engineer with a focus on Site Reliability and Cloud Solutions.

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Skills

Core Skills

Site Reliability EngineeringCloud ComputingKubernetesDevopsInfrastructure AutomationCloud Engineering

Other Skills

AnsibleMicrosoft AzureContainerizationCost OptimizationTerraformApacheAmazon Web Services (AWS)Machine LearningNatural Language Processing (NLP)Amazon EKSAzure Kubernetes Service (AKS)GrafanaHashiCorp VaultCybersecurityRed Hat Linux

About

With over a decade of experience as a Site Reliability Engineer, I bring a deep expertise in Linux administration, cloud management, Kubernetes orchestration, and CI/CD pipelines, combined with a strong proficiency in building scalable, resilient infrastructure. I’m recognized for my innovative mindset and commitment to embracing emerging technologies, consistently driving operational efficiency, system reliability, and performance improvements. Currently pursuing a 1-year Executive Program in Data Science and AI at IIM Bangalore, I’m expanding my technical expertise into data-driven decision-making and advanced AI technologies. Engaging in real-world projects and collaborations with top executives, I’m poised to bring transformative insights and cutting-edge solutions to the most complex challenges. Passionate about fostering a culture of continuous learning and innovation, I thrive in fast-paced environments where I can contribute to building high-impact, scalable systems that enable business success. My focus is on delivering quality-driven solutions, leveraging both my technical acumen and collaborative approach to exceed organizational objectives.

Experience

11 yrs 5 mos

Total Experience

2 yrs 10 mos

Average Tenure

5 yrs 1 mo

Current Experience

Adobe

2 roles

Computer Scientist

Promoted

Jul 2023 – Present · 2 yrs 10 mos

Transition Legacy Applications to K8s: Analyzing and migrating monolithic applications through containerization, applying 12 Factor concepts, and refactoring them into microservices. This transformation enables improved scalability and efficiency in Kubernetes orchestrator.
Cost Optimization and Scalability: Implementing Scale to Zero capabilities for microservices to reduce operational costs significantly while maintaining scalability.
Defining and developing POCs for new strategic technology solutions to enhance product concepts or introduce new products, focusing on improving reliability, quality, and time-to-market.
Infrastructure Automation: Utilizing Infrastructure as Code (IaC) pipelines to automate infrastructure provisioning and configuration,
SRE Observability and Monitoring: Leveraging tools such as Prometheus, Grafana, and effective log management to ensure high observability and monitoring of systems, implementing incident response that enpowers blameless postmortems
Engineering Best Practices: Promoting engineering practices related to availability, reliability, scalability, and disaster recovery, including proactive identification of problems and performance bottlenecks.
Process Improvement and Efficiency: Driving process improvements, efficiency gains, and evangelizing engineering best practices to foster a culture of continuous improvement.
DevOps Integration: Collaborating with software development teams to integrate DevOps practices and streamline development processes, including contributing to code reviews and documentation.
Providing technical leadership, coaching, and mentoring to team members to enhance their skills and capabilities.
Cross-functional Collaboration: Collaborating across various engineering teams, product teams, and other stakeholders to effectively deliver the best solutions, utilizing and supporting user-facing, large-scale, secure tech stacks on cloud platforms like AWS, Azure and Kubernetes.

AnsibleMicrosoft AzureSite Reliability EngineeringCloud Computing

Site Reliability Engineer ( SRE Devops)

Apr 2021 – Jul 2023 · 2 yrs 3 mos

Migrating monolithic traditional apps to microservices and making use of Kubernets orchestration for highly reliable and scalable apps
Enable Observability for early detection of anomality’s and improving the uptime of the application

TerraformCloud ComputingSite Reliability EngineeringKubernetes

Teksystems

Sr Devops Engineer Teksystems (Adobe )

Jan 2019 – Mar 2021 · 2 yrs 2 mos · Bengaluru, Karnataka, India

Design draft architecture for highly reliable / high available / self serviced apps with reduced operational overheads
Transform legacy service applications to containerized self-service apps reducing the operational overheads and leverage the benefits of containerization and orchestration
Conduct periodic assessments and audit on monitoring gaps , security vulnerabilities, compliance requirements and identify action plans to resolve them.
Configuration management: use Chef and Ansible to effectively manage our infrastructure.
Maintain platform SLAs through accurate resolutions.
Reduction in operational toil Infrastructure as code: Terraform Cloudformation

Cloud ComputingKubernetesDevOpsInfrastructure Automation

Avankia

Cloud Engineer ( DevOps)

Oct 2015 – Dec 2018 · 3 yrs 2 mos · Bengaluru Area, India

Trained and lead the team of 1 Cloud Engineer and 1 Linux Administrator for IPASS platform with 600+ customers
Transitioned to Git version control from CVS and raised the speed to 30%
Provisioned CI/CD pipeline using Jenkins- git web-hooks , Docker hub automated build for faster release cycles.
Reduced deployment delays and configuration management using Ansible playbooks
Implemented Cloud Watch, Nagios, Prometheus and Grafana to raise quality and uptime of around 100 application servers.
Used Ansible playbooks to automate admin task and saved 30% admin time ensuring prompt response from team.
Administration and provisioning of AWS Cloud infrastructure.
Switched from AWS Classic Cloud to VPC to ensure resource isolation and Security.
Ensured Customer satisfaction via application high availability using load balancers and auto scaling mechanisms.
Enhanced disaster recovery mechanisms using automated snapshots of EBS Volumes triggered by Lambda Functions
Build data pipeline for Business Intelligence Analytics using Athena and QuikSight which provided insight to the log data.
AWS IAM Identity and Access Management via user groups, roles and polices to segregate application and user access.
Resource Migration across AWS Accounts.
Took the responsibility of the Amazon Market Place listings to boost the marketing and sales of the product.
Strong Exposure to Amazon Linux / Centos and Red Hat Linux
Configuration and tuning of Apache, Apache tomcat for applications
Management and deployment of staging and production websites confluence jira etc.
Connectivity to AWS VPC using Open VPN Server
DNS Management via service providers like Godady, Route53
Maintenance and routing in sonic-wall firewall for internal purpose
Installation configuration and management of Mysql databases