Site Reliability Engineer

Must be: -Expert in Python Programming/Developing (Knows "how do you set up EC2 container with Python") -Great with AWS -Great with Linux -Good understanding of Container Security (docker/kubernetes) Basic Qualifications : Python, Kubernetes, Docker, Amazon Web Services (AWS), and Linux What You’ll Do Here: • Build our platforms, systems and infrastructure using your solid expertise in coding. • Work closely with product development teams, provide hands-on engagement to develop, direct and implement reliable, secured and cost-effective cloud solutions. • Participate with a cross department-functional team to establish a cloud operational governance framework. • And often times involves routine grunt work on service requests to assist other teams with platform services. What You'll Need To Succeed: Must Have Skills: • Deep understanding of Linux, networking, cloud design patterns, API's, and security. • Solid professional coding experience with at least one scripting language - Shell, Python etc. • At least 3+ years of experience working with AWS Infrastructure services with emphasis on IAM, Network, EC2, Lambda, S3, CloudWatch, CloudTrail and in general overall Security. • Strong knowledge and implementation history of Terraform, Packer, Ansible, Chef, Jenkins or any other similar tooling. • Excellent knowledge and working experience in implementing one or more Observability platforms like Prometheus, InfluxDB, Dynatrace, Grafana, Splunk etc. to measure telemetry data like logs, metrics and traces. Nice to have skills: • Previous experience with running containers (Docker/LXC) in a production environment using one of the container orchestration services (Kubernetes, Docker Swarm, AWS ECS, AWS EKS). • Experience with other public cloud platforms like Azure and GCP is a bonus. • Solid professional coding experience in at least one programming language, preferably Java. • Experience with BigData platforms, like AWS EMR, Databricks, Cloudera, Hortonworks etc. • Experience with open source technologies like Hadoop, Hive, Presto, Spark, Airflow etc.