Cloud Engineer at Ness Digital Engineering
We need one to Automate application configuration using CM tools such as Ansible Playbooks, SaltStack formulas or Kubernetes Templates / Helm Charts
All candidates must have:
- A bachelor’s degree in something interesting, or equivalent experience
- At least 5 years’ experience as a DevOps/System/Network Engineer automating infrastructure, deployment, network, configuration, or testing processes
- Deep knowledge of Linux / Unix or Windows systems administration
- Deep familiarity with AWS offerings
- Experience with automation/configuration management using SaltStack, Ansible, Chef, or similar
- Kubernetes development and administration experience, preferably in both cloud-native and self-hosted environments
- Solid scripting skills (Python, Bash/KSH/ZSH)
- Self-driven desire to continuously learn new technologies and skills, and solve tough problems
- Excellent written and verbal English communication skills
- DevOps Engineering in an Enterprise setting
- Large deployments on Azure, Google Compute, OpenStack
- Creating pipelines, managing pools of agents, tracking artifacts, etc.
- Automated Testing and/or Test Data Management
- Containerization technologies and best practices
- Interacting directly with clients in a consulting capacity
- Experience working in a distributed work environment
Description
Ness Digital Engineering provides strategic IT consulting to global enterprises. Our DevOps and Infrastructure practice provides solutions, methodologies, and strategic guidance for digital transformation, containerization, and automation team offers strong domain expertise and technology acumen to deliver feature-focused solutions.
We solve complex business problems with technology and insight. Our business domain knowledge, technology expertise, and Agile delivery process have delivered seamless Digital Transformations at some of the largest enterprises globally. We’re an AWS Premier Consulting Partner, a Premier Confluent Systems Integrator and a Snowflake Select Services Partner.
We are problem-solvers, architects, strategists, implementors, and lifelong learners. We collaborate with each other and with our clients to help them meet their short- and long-term goals. Our culture is open, transparent, challenging, and fun.
We aim to hire engineers who thrive in an open-ended environment, and who want to figure out what needs to be done and take ownership in delivering results.
As a Sr. DevOps Engineer, you will:
- Analyze clients’ existing infrastructures & software environments
- Prepare cloud migration plans and lead the implementation of those plans
- Automate deployment and lifecycle management using orchestrators such as AWS CloudFormation or Hashicorp Terraform
- Automate application configuration using CM tools such as Ansible Playbooks, SaltStack formulas or Kubernetes Templates / Helm Charts
- Monitor infrastructure and applications using tools such as Splunk, Graylog, Grafana, TICK, or Prometheus
- Create CI/CD pipelines using cloud-native tools, or best-of-breed tools such as Jenkins
- Be immersed in a continual learning environment, adopting new techniques, patterns, and tools
- Complete certifications and accreditations, advancing your technical skills and overall career
All candidates must have:
A bachelor’s degree in something interesting, or equivalent experience
At least 5 years’ experience as a DevOps/System/Network Engineer automating infrastructure, deployment, network, configuration, or testing processes
Deep knowledge of Linux / Unix or Windows systems administration
Deep familiarity with AWS offerings
Experience with automation/configuration management using SaltStack, Ansible, Chef, or similar
Kubernetes development and administration experience, preferably in both cloud-native and self-hosted environments
Solid scripting skills (Python, Bash/KSH/ZSH)
Self-driven desire to continuously learn new technologies and skills, and solve tough problems
Excellent written and verbal English communication skills
In addition, ideal candidates will also have experience with:
DevOps Engineering in an Enterprise setting
Large deployments on Azure, Google Compute, OpenStack
Creating pipelines, managing pools of agents, tracking artifacts, etc.
Automated Testing and/or Test Data Management
Containerization technologies and best practices
Interacting directly with clients in a consulting capacity
Experience working in a distributed work environment
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