Kanishk S.

Software Engineer

Bengaluru, Karnataka, India4 yrs experience
Most Likely To Switch

Key Highlights

  • Designed high-availability cloud solutions.
  • Automated CI/CD pipelines, reducing deployment times by 30%.
  • Led cloud migration, cutting infrastructure costs by 20%.
Stackforce AI infers this person is a Cloud Infrastructure and DevOps Engineer specializing in SaaS solutions.

Contact

LinkedIn

Skills

Core Skills

Cloud & Devops MasteryPlatform & Infrastructure Engineering

Other Skills

AWSAWS Certified Solutions Architect – Associate (Digital)AWS CloudFormationAWS Command Line Interface (CLI)AWS Elastic BeanstalkAWS Identity and Access Management (AWS IAM)AWS LambdaAmazon DynamodbAmazon EKSAmazon Web Services (AWS)Android DevelopmentAndroid StudioAnsibleApplication SecurityAzure DevOps

About

As a Software Engineer specializing in Cloud & Platform Engineering, I design and implement resilient, scalable, and secure infrastructure that empowers data-driven insights and operational excellence. With 3+ years of experience across Big Data Engineering, Cloud Infrastructure, and Platform Automation, I deliver end-to-end cloud-native solutions that merge business needs with cutting-edge technology. Core Areas of Expertise • Big Data Engineering: Hands-on with Hadoop, Spark, Databricks, Kafka, Hive, and Cassandra. Skilled in building ETL pipelines and data lakes that convert raw data into actionable insights at scale. • Cloud & DevOps Mastery: Certified in AWS & Kubernetes with multi-cloud expertise (AWS, GCP, Azure). Proficient in Docker, Terraform, Ansible, and CI/CD automation, transforming legacy infrastructure into cloud-native environments. • Platform & Infrastructure Engineering: Experienced in OpenStack, OpenShift, RedHat, Vault, and Rancher. Focused on building secure, compliant platforms for microservices and serverless architectures supporting distributed systems. • Programming & Scripting: Skilled in Go (Golang), Java, Python, Bash, and Ruby. Strong background in developing cloud-native applications and infrastructure automation that enhance agility, performance, and reliability. • Machine Learning & Data Solutions: Exposure to ML-driven pipelines and data integration workflows leveraging Spark ML, AWS ML services, and scalable data platforms. Career Impact ✔️ Designed high-availability and secure cloud solutions that improved system uptime and compliance. ✔️ Automated complex CI/CD pipelines with Jenkins, Terraform, and ArgoCD, cutting deployment times by 30%. ✔️ Optimized edge data center operations using Kubernetes and Ansible, boosting efficiency by 25%. ✔️ Developed serverless applications (AWS Lambda + Go) to improve DynamoDB performance by 20%. Let’s Connect I’m passionate about advancing DevOps, Big Data, Cloud Architecture, and ML-enabled platforms to shape the next generation of digital infrastructure. Always open to collaborations and discussions on cloud-native innovation, data engineering, and automation at scale.

Experience

Cisco

Software Engineer

Mar 2023 – Present · 3 yrs · Bangalore Urban, Karnataka, India · Hybrid

  • 3+ years of experience in configuring and troubleshooting iRules, SSL offloading, and Data groups, with a strong foundation in traffic behavior modification using Profiles, Health Monitors, DNS, and Global Traffic Management.
  • Proficient in Kubernetes, AS3 implementations, and REST API integrations, with hands-on expertise in load balancing concepts (L4–L7 switching), SNATs, persistence, content switching, caching, and content delivery.
  • Solid knowledge of networking fundamentals across OSI Layers 2–7, including spanning tree, vPC, LACP, VLANs, OSPF, BGP, IPv4/6, DNS/DHCP, VRFs, SSL/TLS, and HTTP.
  • Key Contributions
  • ✔️ CI/CD Acceleration: Designed and optimized Jenkins pipelines, boosting deployment speed by 30% and cutting manual overhead.
  • ✔️ Automation & Efficiency: Streamlined OCP platform operations in edge data centers by 25% through Terraform, Ansible, and Kubernetes (EKS).
  • ✔️ Cloud-Native Development: Built and deployed serverless apps on AWS (Lambda + Golang), enhancing DynamoDB data handling by 20%.
KubernetesJenkinsTerraformAnsibleAWSGolang+3

Softtek india private limited

Software Engineer

Dec 2022 – Feb 2023 · 2 mos · Bengaluru, Karnataka, India · Remote

  • Containerization & Orchestration: Utilized Docker, Kubernetes, and Helm for containerization and orchestration, reducing application deployment time by 40% across multi-cloud environments.
  • Enhanced Monitoring: Established infrastructure monitoring with Prometheus and visualization via Grafana, improving incident response time by 15%.
DockerKubernetesHelmPrometheusGrafanaCloud & DevOps Mastery

Mudrasys [cisco]

Software Engineer (Infrastructure Engineer) - Contractor

Oct 2021 – Oct 2022 · 1 yr · Remote

  • Infrastructure as Code (IaC): Managed IaC using Terraform, simplifying the deployment process and saving the team over 200 hours annually in manual setup time.
  • Cloud Migration Leader: Facilitated seamless migration to Azure, utilizing Docker, Kubernetes, and Helm, which reduced infrastructure costs by 20% and improved system scalability.
  • Security Enhancements: Implemented monitoring and alerting systems for Jenkins and application servers with Prometheus and Grafana, increasing security posture and uptime.
TerraformDockerKubernetesPrometheusGrafanaCloud & DevOps Mastery

Education

Arya College of Engineering & Research Center,Jaipur

B.Tech — Computer Science

Aug 2018 – Jun 2022