Neeraj Singh Thapa

DevOps Engineer

Bageshwar, Uttarakhand, India3 yrs 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Reduced incident response time by 40% through innovative monitoring solutions.
Achieved 45% faster deployments with optimized CI/CD pipelines.
Enhanced cloud security posture ensuring high availability.

Stackforce AI infers this person is a DevOps Engineer specializing in cloud-native infrastructure and CI/CD in the SaaS industry.

Contact

neeraj@akitra.com LinkedIn

Skills

Core Skills

DevopsInfrastructure As Code (iac)ObservabilityKubernetesContinuous Integration And Continuous Delivery (ci/cd)AwsCloud SecurityNetwork SecurityFrontend Development

Other Skills

AI-assisted automationAIOpsAdaptability & learningArgoCDAutomationBashBlue-GreenCross-team CollaborationDockerDocker ProductsGCPGitGitOpsGrafanaHelm

About

As a DevOps Engineer at AKITRA, I focus on orchestrating cloud-native infrastructure, implementing robust CI/CD pipelines, and optimizing Kubernetes clusters to enhance system reliability and efficiency. My work includes provisioning scalable AWS infrastructures and reducing release downtime through advanced deployment strategies, ensuring high availability and seamless user experiences. A graduate of Birla Institute of Applied Sciences with a BTech in Computer Science, I bring expertise in Linux system administration, shell scripting, and infrastructure as code (IaC). I am driven by a commitment to improving observability, security, and scalability in production environments, enabling teams to deliver secure and efficient software solutions.

Experience

Akitra

2 roles

DevOps Engineer

Aug 2023 – Present · 2 yrs 7 mos · Remote

● Led design and optimization of a real-time monitoring module for 50+ services and 100+ pods, reducing incident response time by ~40% and
improving system reliability and uptime.
● Migrated 50+ Kubernetes deployments from manifests to Helm charts, cutting deployment release time by ~40% and reducing
configuration-related errors by ~60%.
● Engineered Jenkins CI/CD pipelines supporting 10+ applications, achieving ~45% faster deployments and reducing Docker image size by ~40%.
● Provisioned and maintained AWS infrastructure (20+ EC2 instances, Lambda, CloudFront, ECR) using IaC, ensuring 99.9% production system
uptime.
● Optimized Kubernetes clusters by tuning resource requests/limits across 15+ workloads, reducing CPU throttling alerts by ~30% and improving
application reliability.
● Implemented monitoring stack (Prometheus, Grafana, CloudWatch) for 200+ resources, enabling proactive alerting and downtime/error
tracking, reducing MTTR (Mean Time to Recovery) by ~35%.
● Strengthened cloud security posture via IAM role separation, VPC isolation, and best-practice policies for secure infrastructure.
● Set up and secure OpenVPN server on a private EC2 instance, enabling secure remote access while maintaining network isolation.
● Collaborated with developers, QA, and stakeholders to embed DevOps practices, enforce IaC, and streamline deployments and monitoring.
Technologies Used: AWS, Kubernetes, Helm, Jenkins, Prometheus, Grafana, Terraform, Docker, Linux

AWSKubernetesHelmJenkinsPrometheusGrafana+5

trainee - Software Engineer

Feb 2023 – Aug 2023 · 6 mos · Remote

Udhyam learning foundation

Software Developer

Jul 2022 – Oct 2022 · 3 mos · Bengaluru, Karnataka, India · Remote

Developed web applications using React.js, enhancing design consistency by 30%.
● Gained hands-on experience with GCP, improving application performance and scalability by 15%.

React.jsGCPFrontend Development