Devops Engineer/ Kubernetes/ AWS and Google Cloud Platform

Overview

On Site
140k} - 165k}
Full Time

Skills

Startups
DevOps
TypeScript
Innovation
Scalability
Regulatory Compliance
Disaster recovery
Problem solving
Collaboration
Communication
Roadmaps
Knowledge sharing
Kubernetes
Docker
Cloud computing
Amazon Web Services
Google Cloud
Google Cloud Platform
Continuous integration
GitHub
Continuous delivery
Jenkins
Data management
MongoDB
PostgreSQL
MySQL
Log management
Analytics
Elasticsearch
Kibana
Grafana
Testing
Cypress
POSTMAN
Microservices
Software development
Version control
Software release life cycle
Agile
Messaging
Apache Kafka
RabbitMQ
React.js
React Native
Payment gateways
Sabre
Health care

Job Details

About the Job

A dynamic travel startup is seeking a versatile Senior DevOps/Cloud Engineer with experience operating in an Agile environment and possessing the technical proficiency needed to play a crucial role in laying the foundation of our platform in the travel/fintech space. This is a hands-on role within a small, focused team, encompassing the entire technology stack.
The ideal candidate will be well-versed in Docker and Kubernetes, operating a microservices architecture within a Polycloud environment. Our core technology stack leverages TypeScript alongside React and Node. A passion for delivering best-in-class solutions through compelling user experiences, high-performance architecture, and built-in quality is essential.
Our approach is to deliver a resilient platform through continuous innovation and value-based delivery. This position will play a major role in every aspect of delivery, including influencing architecture, processes, and tooling. We are building a team of individuals willing to take ownership and work alongside other passionate team members. If this sounds like you, we encourage you to apply and start a conversation with us.

General Responsibilities
  • Translate requirements and designs into a secure, scalable, and highly available Polycloud microservices platform leveraging an automated container-based infrastructure.
  • Support and maintain all aspects of platform infrastructure, including CI/CD pipelines, monitoring and alerting, scalability, security, compliance, data management, and disaster recovery.
  • Exercise troubleshooting and problem-solving skills through the proactive identification of system weaknesses and proficient discernment of available solutions.
  • Collaborate with technical and non-technical team members to ensure clear and concise communication within engineering and the organization at large.
  • Stay informed of technology trends and product roadmaps to contribute to the team culture and technology direction through knowledge-sharing both within the team and beyond.

Requirements
  • Live and work within the continental United States.
  • 5+ years of relevant work experience.
  • 4+ years of experience with Kubernetes and a container runtime (e.g., Docker, Podman, containerd).
  • 3+ years of experience with cloud environments (e.g., AWS, Google Cloud Platform).
  • Experience with CI/CD practices and tooling (e.g., GitHub Actions, Argo CD, Jenkins, SonarQube).
  • Working knowledge of data management technologies (e.g., MongoDB, Postgres, MySQL).
  • Familiarity with log management and analytics (e.g., Elasticsearch, Logstash, Kibana, Grafana).
  • Familiarity with testing frameworks/tools (e.g., Jest, Cypress, BrowserStack, Postman).
  • Familiarity with microservices in Node.
  • Proficient understanding of professional engineering best practices, including coding standards, code reviews, source control, build/release processes, and Agile methodologies.

Bonus Points
  • Familiarity with messaging frameworks (e.g., Kafka, RabbitMQ).
  • Familiarity with modern user experiences with React and/or React Native.
  • Familiarity with payment gateways (e.g., PayPal, Stripe).
  • Familiarity with travel platforms (e.g., Amadeus, Sabre, Travelport).

Benefits
  • Health Care Plan (Medical, Dental & Vision).
  • Paid Time Off (Vacation, Sick & Public Holidays).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Motion Recruitment Partners, LLC