Akash Yadav

DevOps Engineer

India5 yrs 1 mo experience

Key Highlights

5+ years of DevOps experience in AWS environments.
Expert in CI/CD pipeline implementation and optimization.
Proficient in Kubernetes and containerization technologies.

Stackforce AI infers this person is a DevOps Engineer specializing in Infrastructure as Code and cloud-native solutions.

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Skills

Core Skills

KubernetesAwsKafkaCi/cdMonitoring

Other Skills

AWS CodePipelineAmazon Web Services (AWS)CloudformatiomContinuous Integration and Continuous Delivery (CI/CD)CoralogixDatabricksDatadogDockerELKElastic Stack (ELK)GrafanaHelmHelm ChartsJenkinsLogging

About

With 5+ years of hands-on experience as a DevOps Engineer, I bring a wealth of expertise in orchestrating seamless operations across AWS environments. My proficiency extends to database management with PostgreSQL and MongoDB, ensuring robust and efficient data handling. I specialize in implementing and optimizing CI/CD pipelines, utilizing tools like Jenkins, github workflows, CodePipeline and ArgoCD. My comprehensive skill set spans networking, Linux administration, and containerization technologies such as Docker and Kubernetes, enabling me to design scalable and resilient infrastructures. Throughout my career, I've successfully navigated the intersection of development and operations, consistently delivering innovative solutions to complex challenges. As a forward-thinking technologist, I remain committed to staying abreast of emerging trends, ensuring my skills are at the forefront of the ever-evolving DevOps landscape, driving excellence in software development and operational efficiency.

Experience

Hiver

DevOps Engineer-II

Oct 2024 – Present · 1 yr 5 mos · Bengaluru, Karnataka, India · Remote

Worked on implementing HA K8s cluster in our environment
Deploy 100+ services on Kubernetes using Helm
Experience managing Apache Kafka clusters in production, including broker configuration, topic management, partitioning, replication, and retention policies.
Strong understanding of Kafka architecture: brokers, producers, consumers, partitions, consumer groups, offsets, and replication.
Proficient knowledge with Helm charts to manage and release of helm packages.
Experience in provisioning, configuring and troubleshooting of various AWS cloud services such as
EC2, S3, RDS, ELB (Load Balancers), ASG, SNS, VPC, Route53, Application discovery service, Security
Groups, IAM, Cloud Watch, Cloud Front, Cloud Trail
Worked on Terraform infrastructure on AWS as a code
Automated configuration management and deployments using Github workflow and ArgoCD.
Building/Maintaining Docker container clusters managed by Kubernetes
Designed and implemented a continuous build-test-deployment (CI/CD) system with multiple com-
ponent pipelines.
Interact with developers for changes to best practices and tools to eliminate non-efficient practices
and bottlenecks
Experience in setting up ELK stack cluster
Experience in building metric exporter to ingest data in Prometheus and Datadog.
Enhanced Kubernetes cluster efficiency using auto-scaling, Karpenter, and Kubernetes Cluster Autoscaler, achieving optimal resource usage.
Used tools like AWS Cost Explorer and Cast.ai to continuously monitor and optimize cloud spend.
Strengthened cloud security posture with AWS Security Hub, WAF, IAM best practices, and automated compliance checks.
Enforced RBAC and network policies in Kubernetes to secure workloads.
Integrated AWS SSO to centralize identity and access management across accounts and services.
Participate in on-call schedule in local timezone.

KubernetesAWSTerraformHelmKafkaDocker+4

Battery smart

DevOps Engineer

Aug 2023 – Oct 2024 · 1 yr 2 mos · Gurugram, Haryana, India · On-site

Contributing to the formulation of strategies for OKRs (Objectives and Key Results) and the development pathway for DevOps.
Drive cost optimisation activity across all environments, maintaining high availability of a scalable infrastructure on AWS.
Drive the design, implementation and maintenance of a highly available and scalable infrastructure on AWS.
Deployed and maintained Kafka on AWS MSK and Kubernetes using Helm/Operator-based setups.
Configured Kafka brokers, including heap sizes, log directories, Zookeeper/KRaft settings, and cluster scaling.
Automated Kafka infrastructure creation using Terraform, including MSK clusters, brokers, security groups, and IAM roles.
Spearheaded the migration to Infrastructure as Code (IaC) using Terraform, improving scalability, consistency, and auditability of cloud infrastructure.
Built and maintained highly available Kubernetes clusters, ensuring zero downtime during upgrades, disaster recovery readiness, and optimized resource utilization.
Orchestrated the deployment of 100+ microservices using Helm,
Drive the adoption of Helm, containerization and orchestration technologies such as Docker and Kubernetes, to enable scalable and reliable deployments.
Enhancing infra security using tools like Security hub and WAF.
Act as a subject matter expert in AWS services and provide guidance to other team member.
Establish and maintain a robust CI/CD pipeline, optimizing release cycles and ensuring high quality software delivery.
Automate infra provisioning, monitoring and deployment processes
Monitor system performance and reliablity, identifying areas of improvement and proactively implementing solutions
Designed and implemented observability stacks using Grafana, Prometheus, OpenTelemetry, and CloudWatch for real-time monitoring and proactive alerting.
Centralized and standardized log management using Loki improving diagnostics and reducing mean time to resolution (MTTR).

AWSTerraformKubernetesHelmKafkaCI/CD+2

Delhivery

DevOps Engineer

Feb 2021 – Aug 2023 · 2 yrs 6 mos · Gurugram, Haryana, India · Hybrid

Designed, provisioned, and managed a wide range of all AWS services. Multi-account setups supporting mission-critical applications.
Spearheaded the migration to Infrastructure as Code (IaC) using Terraform, improving scalability, consistency, and auditability of cloud infrastructure.
Built and maintained highly available Kubernetes clusters, ensuring zero downtime during upgrades, disaster recovery readiness, and optimized resource utilization.
Orchestrated the deployment of 100+ microservices using Helm, Devtron.
Utilized AWS CloudFormation in legacy stacks for transitional infrastructure before Terraform adoption.
Engineered robust CI/CD pipelines using Jenkins, Devtron, and enabling faster, more reliable releases.
Designed and deployed containerized applications using ECS with Fargate and EC2 launch types
Implemented auto-scaling policies for ECS services.
Managed ECS task definitions with resource allocation, networking modes, and security configurations.
Led multiple cost optimization initiatives by right-sizing EC2 instances, implementing S3 lifecycle policies, utilizing RDS Reserved Instances, and leveraging Spot Instances.
Enhanced Kubernetes cluster efficiency using auto-scaling, and Kubernetes Cluster Autoscaler, achieving optimal resource usage.
Designed and implemented observability stacks using Grafana, Prometheus, OpenTelemetry, and CloudWatch for real-time monitoring and proactive alerting.
Built custom dashboards to monitor infrastructure and application performance, improving visibility and incident response.
Centralized and standardized log management using Loki, and Coralogix, improving diagnostics and reducing mean time to resolution.
Developed alerting mechanisms and enhanced log correlation to support faster incident detection and recovery.
Strengthened cloud security posture with AWS Security Hub, WAF, and automated compliance checks.