Madhive is looking for an exceptional
DevOps Engineer to join our team. The successful candidate will be part of a world-class team of cloud engineers. You will be improving the reliability and stability of our services operating primarily in Google Cloud. You will adopt best practices for infrastructure as code, modularizing and parameterizing existing code base to easily deploy services across different environments. You will focus on building a well-managed, cost-efficient cloud platform.
This role is open for remote work across the country, or for those willing and able to work in our
NYC or Redwood City, CA offices 2-3 days a week.
What you'll do:- Create and support CI/CD tooling for IaC and services in Github
- Create monitoring and alerting systems to track the performance and health of cloud services; working closely with application teams to develop a common logging framework
- Identify opportunities for optimization in cloud services and implementing strategies to improve efficiency and cost-effectiveness.
- Developing automated processes for deploying and managing cloud services utilizing terraform, Helm Charts and additional automation tooling.
- Work closely with security teams to implement security best practices.
- Work as part of a cross-functional guild to develop and maintain operational standards and best practices. Reduce operational risk in our business.
- Stay up-to-date with the latest cloud technologies.
- Reduce friction to deliver software within Google Cloud
Who you are:- Minimum of 2 years of relevant experience.
- Strong understanding of cloud infrastructure, networking, containerization, and cloud computing concepts, ideally on GCP.
- Experience automating infrastructure utilizing IaC, preferably terraform.
- Experience with various monitoring tools like Google Monitoring Suite (preferred), AppDynamics, Datadog, New Relic, Grafana, etc.
- A strong interest in data science/machine learning concepts.
- Comfortable working in a dynamic, fast-paced environment.
- Experience building large-scale platforms, solving problems including scalability, reliability, observability, validation, cost efficiency.
- Experience building or operating high performance distributed systems.
- Hands-on experience in complex system design and data pipeline and architectures, scale and performance, tuning, with good knowledge on Docker and Kubernetes.
The approximate compensation range for this position is $145,000-$160,000. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors, including the applicant's experience, knowledge, skills, and abilities, as well as internal equity among our team.
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