Remote Senior DevOps Engineer

Software Solutions Corporation
New York, United States


Our client provides the industry’s most scalable software solutions for data management and analytics. They help organizations operationalize and monetize their data through insights that drive action. Their integrated platform for business intelligence (BI), analytics, data integration, and data quality, combined with proven expertise, delivers value faster, with less risk. 

The company is headquartered in New York, NY, with global offices, and remains one of the largest privately held companies in the industry.  

Now they are looking for a DevOps Engineer to architect, design, and extend their data-management and analytics products for cloud delivery. As a DevOps Engineer, you would design, build, and deploy the company's product suite into the cloud, extending its inherent performance benefits by advantageously leveraging cloud resources. You would aim to employ open-source or industry-common technologies for performing functions such as
licensing, load balancing, monitoring, log processing, auto-scaling, etc. 

Company's current cloud tech stack is based on Docker, Kubernetes, and Helm.


Please note the company is willing to consider EU candidates only.

Must-have skills:

  • B.S. or M.S. in Computer Science or related technical field
  • 3+ years’ experience in an SRE/Operations/DevOps role as part of a team
  • Experience in supporting complex web applications running highly available and high traffic infrastructure based on Linux
  • Comfortable with configuration management and orchestration tools (Puppet, Ansible, Chef, SaltStack, etc.), and modern observability infrastructure (monitoring, metrics and logging)
  • Aptitude for automation and streamlining of tasks
  • Comfortable with shell and scripting languages used in an SRE/Operations engineering context (e.g. Python, Go, Bash, Ruby, etc.)
  • Good understanding of Linux/Unix fundamentals and debugging skills
  • Docker containerization, Helm Charts
  • Hands-on Kubernetes deployments; the more senior candidates would be knowledgeable in infrastructure and strategies
  • Jenkins pipeline, Nexus for artifacts
  • Terraform automation
  • Clouds:  AWS & Azure
  • Low level systems troubleshooting and debugging (CPU/memory profiling, C/C++ experience, in-depth Linux knowledge).
  • Strong communication skills and ability to work independently, as an effective part of a globally distributed team