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

Grubtech

Open Positions (1)

Engineering

Site Reliability Engineer