Job Description

Role & responsibilities Enlighten, Enable and Empower a fast-growing set of multi-disciplinary teams, across multiple applications and locations. Tackle complex development, automation and business process problems. Champion Cvent standards and best practices. Ensure the scalability, performance, and resilience of Cvent products and processes. Work with product development teams, Cloud Automation and other SRE teams to ensure a holistic understanding of observability gaps and their effective and efficient identification and resolution. Identify recurring problems and anti-patterns in development, operational and security processes and help respective team to build observability for those. Develop build, test and deployment automation that seamlessly targets multiple on-premises and AWS regions. Give back by working on and contributing to Open-Source projects. Preferred candidate profile Excellent communication skills and track record working in distributed teams A passion for and track record in making things better for your peers. Experience managing AWS services / operational knowledge of managing applications in AWS ideally via automation. Fluent in at least one scripting languages like Typescript, Javascript, Python, Ruby and Bash. Experience with SDLC methodologies (preferably Agile). Experience with Observability (Logging, Metrics, Tracing) and SLI/SLO Working with APM, monitoring, and logging tool (Datadog, New Relic, Splunk) Good understanding of containerization concepts - docker, ECS, EKS, Kubernetes. Self-motivation and the ability to work under minimal supervision Troubleshooting and responding to incidents, set a standard for others to prevent the issues in future. Good to have skills: Experience with Infrastructure as Code (IaC) tools such as CloudFormation, CDK (preferred) and Terraform. Experience managing 3 tier application stacks. Understanding of basic networking concepts. Experience on Server configuration through Chef, Puppet, Ansible or equivalent Working experience with NoSQL databases such as MongoDB, Couchbase, Postgres etc Use APM data to Troubleshooting and finding performance bottleneck