DevOps Engineer
Mumzworld is hiring a DevOps Engineer in Bengaluru, India. Level rates it ; you can apply on Mumzworld.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as a mid-level role.
- Mumzworld has 12 other open roles on Level.
AI in this role
Job Overview
Mumzworld is looking for a DevOps Engineer to join our DevOps/Platform Engineering team. You will help operate and improve the reliability, scalability, security, and observability of a high-traffic eCommerce platform. The role is hands-on and suited to someone who enjoys Linux troubleshooting, AWS, automation, Grafana, Kubernetes, and solving real production problems.
What you'll be doing
Monitor and improve the reliability, availability, and performance of production and non-production environments.
Troubleshoot Linux, application, network, database, Kubernetes, and AWS infrastructure issues.
Participate in incident response, root cause analysis, production recovery, and post-incident improvements.
Build automation and operational tooling using Python, JavaScript/Node.js, and Shell scripting.
Create and maintain Grafana dashboards, alerts, metrics, logs, and distributed tracing for application and infrastructure visibility.
Support workloads running on AWS and Kubernetes, including deployments, scaling, configuration changes, and production readiness.
Improve system resilience through alert tuning, capacity planning, automation, runbooks, and elimination of repetitive operational toil.
Work closely with engineering, QA, security, and platform teams to resolve issues and improve service reliability.
Experience
Core technical skills
Linux - strong administration and troubleshooting across processes, CPU, memory, disk, filesystems, networking, DNS, logs, SSH, permissions, package management, and shell scripting.
AWS - strong production experience with services such as EKS,Lambda, Cloudfront, ALB,RDS and other related services.
Grafana & Observability - strong hands-on experience with dashboards, alerting, PromQL, Loki/log querying, metrics, tracing concepts, Kubernetes observability, and AWS monitoring.
Programming & Automation - Python, JavaScript/Node.js, Bash/Shell, REST APIs, JSON, and scripting for automation and operational tooling.
Kubernetes & Containers - Docker, EKS/Kubernetes, Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, resource requests/limits, autoscaling, logs, events, and troubleshooting.
Networking - TCP/IP, HTTP/HTTPS, DNS, SSL/TLS, load balancing, routing, NAT, firewalls, reverse proxies, CDN concepts, and API connectivity troubleshooting.
DevOps & IaC - Git, CI/CD, Terraform, Helm, Infrastructure as Code, and automated deployment practices.
Qualifications
2-5 years of experience in DevOps, SRE, Cloud Engineering, Platform Engineering, Production Support, or a similar role.
Understanding of incident management, SLIs/SLOs/SLAs, capacity planning, resilience, production readiness, and reducing operational toil.
Strong troubleshooting and ownership mindset, with the ability to investigate production issues independently and communicate clearly during incidents.
Bachelor's degree in Computer Science, Engineering, IT, or equivalent practical experience.
Good to have
Prometheus, Grafana Cloud, Loki, Tempo, OpenTelemetry, Grafana Alloy, Istio, Redis, OpenSearch/Elasticsearch, New Relic, MySQL/MariaDB, PostgreSQL, CDN/caching technologies, microservices, and experience supporting high-traffic eCommerce systems.
What Success Looks Like
Production issues are detected early, diagnosed quickly, and resolved with clear follow-up actions.
Grafana dashboards and alerts provide actionable visibility instead of unnecessary noise.
Recurring operational tasks and failure patterns are reduced through automation and permanent fixes.
AWS and Kubernetes workloads remain reliable, scalable, observable, and ready for production demand.
You progressively take ownership of services, incidents, runbooks, and reliability improvements with less day-to-day guidance.
Why This Role Matters
Reliability directly affects the customer experience at Mumzworld. As our eCommerce platform grows, the DevOps/Platform Engineering team helps ensure that customers can browse, order, and transact without disruption. This role sits close to production and engineering: your work on observability, automation, incident response, and cloud reliability will directly improve platform stability, engineering velocity, and our ability to scale confidently
How we rate this
DevOps Engineer at Mumzworld rates 35 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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