Lead DevOps Engineer

GTSS Inc
Seattle, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Seattle, United States of America

Tech stack

Amazon Web Services (AWS)
Azure
Bash
Software as a Service
Cloud Computing
Continuous Integration
Data Synchronization
Distributed Systems
Infrastructure as a Service (IaaS)
Identity and Access Management
Python
Platform as a Service (PAAS)
Cloud Services
Salesforce
Cloud Platform System
Gitlab
Containerization
Kubernetes
Performance Monitor
Terraform
Serverless Computing
Amazon Web Services (AWS)
Docker
Jenkins
Databricks

Requirements

· 13+ years' experience with distributed applications at scale in public cloud (AWS), or equivalent experience.

· Managing Docker container deployment and orchestration, including AWS EKS.

· 5+ years of experience in public cloud (AWS) in building services using cloud native technologies including Kubernetes, Docker, serverless etc.

· Exposure to Azure cloud.

· Python/shell/bash experience required.

· Must have Gitlab and salesforce deployment Experience

· Design and implement cloud infrastructure, including selecting appropriate cloud services (IaaS, PaaS, SaaS), networking, storage, and compute resources

· Ensure cloud environments are secure and compliant with industry standards and regulations by implementing security controls, access management, and encryption

· Troubleshoot and resolve technical issues related to cloud infrastructure and applications

· Must have exp in Authoring automated deployments using Terraform.

· Collaborating with application teams to set up CI/CD workflows, create Databricks workflows, manage Databricks clusters, and handle workspace access management.

· Automated provision/orchestration of AWS resources

· System performance monitoring, reporting and optimization

· Experience with containers (Docker, EKS) and serverless (Lambda).

· Experience in implementing various AWS solutions like Data Sync, Batch Job, EMR

· Experience bootstrapping and automating the build of complete Kubernetes environments

· Experience with automated build in Jenkins or similar CI tools

· Experience in managing multiple AWS environments and the AWS ecosystem.

Soft Skills:

· Excellent written and verbal communication skills.

· Ability to manage conflict effectively.

· Ability to adapt and be productive in a dynamic environment.

· Strong communication and collaboration skills supporting multiple stakeholders and business operations.

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