Intermediate/Senior Devops Engineer
Posted on 7/6/2022
INACTIVE
Global Relay

1,001-5,000 employees

Cloud-based communication solutions for regulated industries
Company Overview
Global Relay stands out as a leading provider of compliant, cloud-based electronic communication solutions, servicing over 20,000 customers in 90 countries, including 22 of the top 25 banks. The company's integrated compliance solutions, including intelligent archiving, superior data connectors, and proactive surveillance, enable regulated organizations to meet collaboration, privacy, and security requirements. With a focus on the global financial sector and other highly regulated industries, Global Relay offers tailored solutions for compliant communications, demonstrating its industry leadership and technical prowess.
Data & Analytics
Government & Public Sector
Energy
AI & Machine Learning
Financial Services

Company Stage

N/A

Total Funding

N/A

Founded

1999

Headquarters

Vancouver, Canada

Growth & Insights
Headcount

6 month growth

4%

1 year growth

20%

2 year growth

50%
Locations
London, UK
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Bash
Kubernetes
Agile
Python
Puppet
React.js
NoSQL
Management
Git
Groovy
Apache Kafka
Java
Gradle
Docker
Jenkins
Maven
Ansible
MongoDB
Hadoop
Development Operations (DevOps)
CircleCI
Splunk
Linux/Unix
Cassandra
CategoriesNew
DevOps & Infrastructure
Software Engineering
Requirements
  • Minimum 3 years of experience with at least one of each of the following:
  • Python, Java, shell scripting
  • Linux
  • CI/CD tools such as Jenkins, Bamboo, GitLabCI, CircleCI, TravisCI
  • Container technology such as docker
  • Kubernetes or OpenShift
  • Experience applying DevOps practices within the software delivery lifecycle
  • Experience in an operational environment with a solid understanding of distributed systems and troubleshooting network-related issues
  • Excellent understanding of software delivery practices such as Git branching models and configuration management
  • Experience of working in a microservice-oriented environment
  • Experience working with Configuration Management tools such as Ansible, Helm, Puppet
  • Experience working with VMWare
  • Excellent knowledge of writing Jenkins deployment pipelines, using groovy and Jenkinsfiles
  • Working knowledge of Kafka
  • Practical experience of software delivery practices such as feature toggling, no-downtime deployments and blue-green deployments
  • Knowledge of security best practices within the software development lifecycle
  • Experience with agile development methodologies
  • Excellent knowledge of build tools such as Maven/Gradle
  • Experience working with relational or NoSQL databases
Responsibilities
  • Given the varied nature of the role, your time will be split working across the following areas:
  • Automation: Designing, enhancing and implementing reusable CI (Continuous Integration) & CD (Continuous Delivery) solutions using industry best current practices
  • Operations: Monitoring and ensuring smooth operation of production and test environments by building dynamic dashboards and alerting rulesets
  • Collaboration and Sharing: Collaborating with cross functional teams and finding opportunities to automate their requirements early in the development lifecycle. Sharing your knowledge and solutions within the DevOps community to maximise efficiencies and standardisation
  • Service Reliability: Troubleshooting and problem solving by reviewing dashboards and logs to resolve issues and applying solutions to stop them from reoccurring
  • Deployments: Writing and running deployment automation tools using helm, ansible, or other configuration management systems
  • Some of the technologies that you will interact with include:
  • Containerisation and virtualisation: Docker, Kubernetes/OpenShift, VMWare
  • Build and deployment automation: Jenkins, Git, Bitbucket, Maven, Helm
  • Instrumentation and monitoring: Splunk, Prometheus, Grafana, Elk
  • Languages and frameworks: Bash, Java, Groovy, Go, Python, React
  • Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, minIO, Ceph