Senior Cloud Engineer - Containerization at McKinsey & Company

Posted on: 09/14/2021

Location: (ON-SITE)

Glassdoor: 4.0 / 5 | Original Source

Tags: mongo gcp ruby prometheus grafana helm nginx azure github redis golang kubernetes ansible javascript python jenkins aws docker postgres kafka terraform circleci

You will be based in our Atlanta office as part of McKinsey's Technology & Digital (T&D) organization of our Cloud Native Tribe. The Cloud Native Tribe is responsible for developing and operating private and public cloud hosting services. This is a global team with members based in India, Czech Republic, Germany, USA and Costa Rica. You will work closely in teams alongside experts in various disciplines. **WHAT YOU’LL DO**: You will combine agile with expertise in cloud, big data and mobile to create and maintain custom solutions consistent with SRE principles. In this role, the solutions you create will help internal teams increase productivity and make timely decisions. You will be responsible for the development, implementation and operation of IT systems and processes supporting SaaS applications and platforms automation of provisioning, quality controls, security auditing and maintenance. You will also perform continuous measurement and improvement of efficiency of operational activities and resources. You will learn new tech skills (cloud, orchestration, network, operating system) with a strong focus on open source products. Lastly, you will also contribute to the continued skill-building of the tribe. **QUALIFICATIONS** * Bachelor's degree in computer engineering or equivalent * Proficiency in programming languages: Python, Golang, Ruby, Javascript and others * Experience in IaC languages: Terraform, Ansible and others * Experience in CI/CD tooling: CircleCI, Jenkins, GitHub and others * Knowledge in test automation frameworks: test-kitchen, awspec, inspec and others * Strong knowledge in public cloud platforms: AWS, Azure, GCP * Containerization experience: Kubernetes, Docker, helm * Experience in API life-cycle management and message bus technologies: APIgee, Kafka and others * Proficiency in web front-end and database products: Nginx, Postgres, Mongo, Redis * Experience in monitoring and data analytics tools: Splunk, Elastic, Prometheus, Grafana, AppDynamics and others * Networking experience: load balancing, network security, standard network protocols (HTTP/s, DNS, etc.) * Knowledge in operating system experience: Linux, Windows Experience in project coordination