Key skills
AWSAzureCloudDistributed SystemsDNSDockerEC2GrafanaJavaScriptLinuxMongoDBPostgresPrometheusPythonRedisBashPowerShellGitHub ActionsECSRDSIAMCloudWatchCouchbaseDatadogGitHubCI/CDCommunicationProblem SolvingCloud SecurityFirewall
About this role
Role Overview
- Manage and improve AWS-based cloud environments, including ECS-based workloads
- Strengthen monitoring, alerting, logging, and observability capabilities
- Support effective incident management for mission-critical workloads
- Collaborate closely with application, DevOps, infrastructure, and support teams to prevent incidents
- Respond quickly when issues occur and improve production readiness
- Reduce operational toil through automation and continuous improvement
Requirements
- Bachelor’s degree in computer science, Software Engineering or related field.
- Minimum 5 years of hands-on experience in Site Reliability Engineering, DevOps, cloud platform engineering, infrastructure operations, or production engineering.
- Strong hands-on experience operating, troubleshooting, and improving production workloads in AWS; Azure or on-prem deployments would be an added advantage.
- Experience with core AWS services and production operations, including VPC, EC2, ECS, IAM, Load Balancers, CloudWatch, RDS, Security Groups, and related cloud services.
- Hands-on working experience with Datadog is a must, including monitoring, alerting, application performance monitoring, logging, dashboards, and service health visibility.
- Ability to continuously improve existing Datadog dashboards, monitors, alert thresholds, and operational views as services evolve and production needs change.
- Experience managing and improving incident management capabilities, including incident triage, escalation, communication, root-cause analysis, post-incident reviews, and follow-up actions.
- Experience defining and improving reliability practices such as SLOs, SLIs, error budgets, runbooks, playbooks, operational readiness checks, and on-call processes.
- Experience troubleshooting distributed systems, AWS infrastructure, ECS workloads, networking, databases, and application performance issues in production environments.
- Experience in multiple scripting languages such as Python, Bash, PowerShell, JavaScript etc.
- Experience with managed data platforms such as MongoDB Atlas, Confluent Cloud, Couchbase, PlanetScale, ClickHouse, Redis, Postgres etc.
- Experience supporting mission critical Linux systems at scale; Windows experience is optional but good to have.
- Experience supporting cloud networking DNS, Web Application Firewall, Security Groups, Network Access Control List, load balancers etc.
- Experience supporting containerized workloads using Docker and AWS ECS.
- Expertise with cloud monitoring and management systems.
- Experience with cloud security principles and best practices.
- Familiarity with GitHub and GitHub Actions for managing CI/CD pipelines, release workflows, and deployment automation.
- Experience with monitoring and management tools such as Datadog, Prometheus, Grafana, ELK etc.
- Ability to analyze current technology and operational processes, then develop practical steps to improve reliability, alert quality, scalability, and operational efficiency.
- Willingness to participate in incident response and on-call support for production systems when required.
- Strong problem solving and analytical skills.
- Strong English communication skills.
- Ability to multitask, work well under pressure and prioritize work against competing deadlines and changing business priorities.
Tech Stack
- AWS
- Azure
- Cloud
- Distributed Systems
- DNS
- Docker
- EC2
- Grafana
- JavaScript
- Linux
- MongoDB
- Postgres
- Prometheus
- Python
- Redis