Role Overview
This is a key role focused on improving the reliability, availability, performance, and operational maturity
of Grubtech's production systems. This individual will manage and improve AWS-based cloud
environments, including ECS-based workloads, strengthen monitoring, alerting, logging, and observability
capabilities, and support effective incident management for mission-critical workloads. The role will
partner closely with application, DevOps, infrastructure, and support teams to prevent incidents, respond
quickly when issues occur, improve production readiness, and reduce operational toil through automation
and continuous improvement.
Profile:
• 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.