Designing, building, and maintaining robust, scalable, and secure cloud infrastructure across multi-cloud environments.
Heavily leveraging Infrastructure as Code (IaC).
Optimizing modern containerized workloads.
Managing high-throughput messaging systems.
Ensuring deep observability across the entire stack.
Requirements
3–5 years of professional experience as a DevOps, Site Reliability (SRE), or Cloud Engineer deploying applications into modern cloud environments.
Deep expertise in AWS (primary); production-level experience with at least one additional cloud provider (GCP or Azure). Exposure to all three is a plus.
Strong proficiency in Pulumi utilizing Python for infrastructure automation.
Production-level experience managing and orchestrating workloads with AWS ECS and EKS.
Advanced knowledge of GitHub Actions for workflow automation and deployment pipelines.
Hands-on experience scaling and troubleshooting AWS SQS, Kafka and RabbitMQ.
Experience configuring and tuning Elasticsearch and/or OpenSearch.
Experience migrating legacy application server workloads (JBOSS, WebLogic, or similar) into containerized environments.
Strong experience creating dashboards and alerts in New Relic, experience with Grafana and Prometheus is a plus.
Experience implementing DevSecOps practices, including container scanning, dependency alerts, and automated secrets management.
Proven track record of Cloud Cost Optimization (FinOps) across multi-cloud environments.
Strong problem-solving skills and a proactive mindset toward automation and eliminating technical debt.
Excellent communication and collaboration skills to work effectively with development and QA teams.
Drive improvements to reduce alert noise, improve runbooks, and decrease mean time to resolution.
Tech Stack
AWS
Azure
Cloud
ElasticSearch
Google Cloud Platform
Grafana
Kafka
Prometheus
Python
RabbitMQ
Benefits
We encourage applications from people with a wide variety of backgrounds and experiences.