Devops Engineer
We are looking for 8-12years experienced highly skilled Software Engineer with strong experience in AWS DevOps GCP, Advanced proficiency in Jenkins, GitLab CI/CD, Azure DevOps with deep knowledge in Containerization & Orchestration , Monitoring & ObservabilityImplement and manage DevOps practices to streamline software development and deployment processes.Jira, GKE, AWS CodeArtifact, AKS, GitLab, Google Cloud Console, AWS CodeCommit, Cloud Source Repositories, Docker,
GoLang, Fortify, New Relic, Github, Jfrog Artifactory, AWS CodeStar, Splunk, Artifactory, Artifact Registry, Azure Pipelines,Utilize tools like Jenkins, Docker, Kubernetes, Terraform, and GitLab to enhance collaboration, security, and monitoring. Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).Write efficient and optimized SQL queries for relational databases.Integrate and manage applications in AWS cloud environments.Collaborate with cross-functional teams to ensure smooth delivery and integration of features.Spring Boot, AWS Lambda, ActiveMQ,Exposure to CI/CD pipelines and DevOps practices.Knowledge of data engineering best practices and real-time analytics.Perform software engineering services with a focus on cloud platforms and DevOps practices.Leverage cloud platforms such as AWS and GCP to deploy and manage scalable applications.Utilize containerization and orchestration tools to ensure efficient application deployment and managementSolid understanding of SQL and data modeling.Experience with containerization (Docker) and orchestration (Kubernetes).Working knowledge of Flink, Spark, or Databricks for data processing.Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).Basic scripting in Python for automation or data manipulation.
We are looking for 8-12years experienced highly skilled Software Engineer with strong experience in AWS DevOps GCP, Advanced proficiency in Jenkins, GitLab CI/CD, Azure DevOps with deep knowledge in Containerization & Orchestration , Monitoring & ObservabilityImplement and manage DevOps practices to streamline software development and deployment processes.Jira, GKE, AWS CodeArtifact, AKS, GitLab, Google Cloud Console, AWS CodeCommit, Cloud Source Repositories, Docker,
GoLang, Fortify, New Relic, Github, Jfrog Artifactory, AWS CodeStar, Splunk, Artifactory, Artifact Registry, Azure Pipelines,Utilize tools like Jenkins, Docker, Kubernetes, Terraform, and GitLab to enhance collaboration, security, and monitoring. Deploy, manage, and monitor services in containerized environments (Docker/Kubernetes).Write efficient and optimized SQL queries for relational databases.Integrate and manage applications in AWS cloud environments.Collaborate with cross-functional teams to ensure smooth delivery and integration of features.Spring Boot, AWS Lambda, ActiveMQ,Exposure to CI/CD pipelines and DevOps practices.Knowledge of data engineering best practices and real-time analytics.Perform software engineering services with a focus on cloud platforms and DevOps practices.Leverage cloud platforms such as AWS and GCP to deploy and manage scalable applications.Utilize containerization and orchestration tools to ensure efficient application deployment and managementSolid understanding of SQL and data modeling.Experience with containerization (Docker) and orchestration (Kubernetes).Working knowledge of Flink, Spark, or Databricks for data processing.Familiarity with AWS services (ECS, EKS, S3, Lambda, etc.).Basic scripting in Python for automation or data manipulation.