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Resume Playbook
The DevOps Engineer Who Cut Infrastructure Costs $127K/Year & Achieved 99.99% Uptime — Resume That Landed 11 Interviews in 12 Days
For DevOps engineers targeting platform & SRE roles who struggle to prove reliability and cost impact beyond 'managed CI/CD pipelines'
Read time
15 min
Published
Jan 25, 2024
Author
Ameen Jalal
Persona
Information Technology
Updated
Jan 25, 2024
Reverse-engineered from the updated JSON data. This is what recruiters see.
Positioning
You keep the lights on, automate everything, and fight fires at 3 AM. But recruiters see 'Docker/K8s' on 300 resumes a day. This shows them you're an SRE who turns infrastructure into a profit center, not a cost sink.
Dynamic Headline
The DevOps Engineer Who Cut Infrastructure Costs $127K/Year & Achieved 99.99% Uptime — Resume That Landed 11 Interviews in 12 Days
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What changed?
DevOps Engineer with 5 years of experience in Docker, Kubernetes, AWS, and CI/CD. Managed infrastructure and deployments for web applications...
Slashed AWS spend $127K/year (58% reduction) while scaling from 50 → 500 EC2 instances via spot fleet automation and rightsizing. Achieved 99.99% uptime (4 nines) by implementing SLO-based alerting (MTTR <5min) and chaos engineering. Automated 90% of on-call incidents with self-healing playbooks, reducing pager noise 70%.
Psychology
Profit-Center Framing: Infrastructure teams are cost centers until you prove ROI. Dollar savings + reliability targets trigger executive-level interest
Docker, Kubernetes, AWS, Terraform, Jenkins, Prometheus, Bash
Cloud: AWS (EC2, ECS, EKS, Lambda, multi-region) 80% cost savings | IaC: Terraform (300+ modules), Pulumi | Observability: Prometheus, Grafana, Datadog, Loki (MTTD <2min) | SRE: SLO/SLI, error budgets, chaos mesh | Infra as Product: Internal developer platform (IDP) serving 200+ devs
Managed Kubernetes clusters and deployed applications using CI/CD pipelines.
Designed multi-account AWS landing zone with SCP guardrails; prevented $23K accidental S3 data transfer cost overrun and achieved SOC 2 compliance 3 months ahead of audit deadline.
Signal strength
Live scores from the PlanCV ATS emulator ensure this playbook clears filters.
Keyword Density
98
Readability Grade
9.1
Time to Skim
6.0 sec
Beats Industry Avg
1.4 sec
Target Keywords
Optimized for ATS scanning
Before / After
This uses the 'Cost-Reliability-Scale' formula: 'EKS + Fargate' (modern architecture) + '$18K/month savings' (financial impact) + '99.99% uptime' (reliability) + '13-month retention under $400' (efficiency). Signals platform engineering maturity.
Managed Kubernetes clusters and set up monitoring with Prometheus.
Architected EKS cluster spanning 3 AZs with Fargate profiles, reducing compute costs $18K/month and achieving 99.99% uptime; built self-service Prometheus + Thanos stack for 50+ dev teams with 13-month retention for under $400/mo.
Behind the craft
Interactive notes from the playbook team.
Click 'Cost Impact Calculator'—input your AWS bill changes, get 3 finance-friendly metrics (ROI, TCO reduction, cost-per-deploy) auto-added to summary.
Summaries with dollar savings and 9's of uptime get 73% more recruiter clicks from platform engineering teams. '99.99%' beats 'highly available' 15:1.
Never say 'responsible for infrastructure.' Replace with 'Turned $X infra spend into $Y business value by doing Z.'
'Incident Metric Generator'—hover over any on-call or reliability task, get SRE-ready metrics (MTTR, MTBF, error budget burn rate, noise reduction).
Bullets mentioning 'MTTR <5min' and 'error budget' are 5.2x more likely to get Senior/DevOps III interviews. SRE language signals seniority.
Don't say 'reduced alerts.' Say: 'Cut pager noise 70% (30→9 alerts/week) by implementing SLO-based alerting and self-healing runbooks.'
'Compliance & Cost Audit'—auto-scans project descriptions for SOC 2, HIPAA, or cost optimization angles, suggests bullet enhancements.
Projects mentioning compliance achievements (SOC 2, HIPAA) or cost-per-request analysis signal platform engineering maturity. Include 1 compliance win.
Avoid 'built CI/CD pipeline.' Frame as: 'Delivered IDP enabling 200 devs to deploy 300x/day with 0 manual approvals, shaving 15min per deploy.'
Quantify everything
Drop in a bland bullet. Get three impact variants tuned for SaaS and FinTech.
Input
"Set up monitoring and alerting"
Deployed Prometheus + Thanos + Alertmanager stack; cut MTTD <2min and MTTR <5min, preventing 3 potential SEV-1 incidents (estimated $50K revenue protection)
Implemented SLO-based alerting (99.9% uptime target); reduced pager noise 70% (30→9 alerts/week) and saved 10 engineering hours/week
Built self-healing auto-remediation for 15 common alerts; automated 90% of on-call responses, reducing weekend pages 80%
Psychology
Platform Engineering Mindset: Framing tools as 'developer platform' and 'observability' signals you treat infra as product, not just servers
Psychology
Risk & Compliance Framing: DevOps who understand guardrails, compliance, and cost overrun prevention are perceived as senior platform engineers, not just sysadmins