DevOps Engineering
Automate, optimize, and scale your infrastructure with battle-tested DevOps practices
- → CI/CD pipeline implementation
- → Infrastructure as Code (Terraform, Pulumi)
- → Container orchestration (Kubernetes, Docker)
terraform plan
# module.vpc.aws_vpc.main will be created
+ resource "aws_vpc" "main" {
+ cidr_block = "10.0.0.0/16"
+ enable_dns_hostnames = true
+ id = (known after apply)
}
Plan: 47 to add, 0 to change, 0 to destroy.kubectl get pods
NAME READY STATUS RESTARTS
nginx-deployment-8d545 2/2 Running 0
redis-cache-7d8f9 1/1 Running 0
api-gateway-5c7b4 2/2 Running 1k9s - pods
● Pods(all)[12]
NAMESPACE NAME PF READY STATUS
prod app-server-a7x2 ● 2/2 Running
prod worker-queue-9k4m ● 1/1 Running
staging test-runner-3j8s ● 1/1 Pendingdocker build
Step 4/8 : RUN npm install
---> Running in a1b2c3d4e5f6
added 847 packages in 12.3s
---> 9f8e7d6c5b4a
Successfully built 9f8e7d6c5b4adeployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: nginx-deployment
spec:
replicas: 3
selector:
matchLabels:
app: nginxhelm install
NAME: my-release
LAST DEPLOYED: Mon Nov 2 16:45:32 2025
NAMESPACE: production
STATUS: deployed
REVISION: 1kubectl logs
[2025-11-02 16:45:32] INFO: Server started
[2025-11-02 16:45:33] INFO: Connected to Redis
[2025-11-02 16:45:34] INFO: Listening on :8080terraform apply
Apply complete! Resources: 47 added, 0 changed
aws_vpc.main: Creation complete after 3s
aws_subnet.private: Creation complete after 2s mission.md
config.yaml
deploy.sh
+
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
DevOps & Cloud Experts
# Infrastructure that scales.
Brilliant teams that teach._
We deliver DevOps engineers, Cloud Architects, and SREs who don't just ship code.
They transform how you build, deploy, and operate software.
$ ./start-transformation
99.9% uptime • 50+ projects delivered
# Your infrastructure transformation
before:
deployment_time: hours
incidents: weekly
scaling: manual
with_neofork:
deployment_time: minutes # CI/CD automated
uptime: 99.9% # Production-grade SRE
scaling: auto # Kubernetes + observability
result: Ship faster, sleep better_
$ ./configure-infrastructure
#!/bin/bash
# A typical Friday afternoon deployment
echo "Running tests..." && npm test
echo "Building image..." && docker build -t app:v2.0
# Zero-downtime deployment
kubectl set image deployment/app app=app:v2.0
kubectl rollout status deployment/app
# Health check passed ✓
echo "Deployed. Time for weekend."_
$ ./execute deployment
Trusted by
Why not you?
We're just getting started
Why not you?
We're just getting started
50+
Projects delivered
25+
Expert engineers
99.9%
Average uptime
10x
Faster deployments
Services
Expert talent for every infrastructure challenge
Cloud Architecture
Design scalable, resilient, and cost-effective cloud architectures that grow with your business
- → Cloud architecture design & review
- → Multi-cloud & hybrid strategies
- → Microservices architecture
FinOps & Cost Optimization
Maximize cloud ROI with data-driven cost optimization and financial governance
- → Cloud cost analysis & benchmarking
- → Cost allocation & chargeback models
- → Resource rightsizing & optimization
Security & Compliance
Build security into your infrastructure with DevSecOps practices and compliance automation
- → Security architecture review
- → Infrastructure security hardening
- → Compliance automation (SOC2, ISO27001, GDPR)
Case Studies
Real problems. Practical solutions. Measurable impact.
Cloud-Native Architecture on AWS
Global E-commerce Platform · E-commerce
We achieved 99.99% availability, handled 10x traffic growth with zero infrastructure scaling issues, and reduced operational overhead by 70%.
99.99%
System Availability
45ms
Response Time (P95)
FinOps Audit: $420K Saved Annually
Fast-Growing Tech Company · Cloud Infrastructure
We reduced monthly AWS spend by 52% ($35K/month), eliminated $18K/month in data transfer costs, and improved performance by 30% through Graviton migration.
-52%
Monthly Cost Reduction
-87%
Data Transfer Savings
What clients say
Don't just take our word for it
" We went from weekly deployments to multiple times a day. Way fewer incidents and the team actually understands what's happening now. "
S.C.
VP Engineering
SaaS Startup
" Their audit found a ton of stuff we were paying for but not using. Cut our AWS bill in half and apps run better now. "
M.D.
CTO
Tech Company
" Kubernetes seemed overwhelming but they handled the setup. Running smooth for months and deploys are way less stressful. "
L.W.
DevOps Lead
E-commerce Platform
Frequently Asked Questions
Everything you need to know
Every engineer goes through technical assessments, client project simulations, and culture-fit interviews. We only work with senior practitioners who have built and operated production systems at scale.
We offer three models: (1) Embedded Engineer (3-12 months), (2) Squad Augmentation (ongoing), and (3) Project-Based (6-16 weeks). Most clients start with a single engineer and scale from there.
Absolutely. We believe in building capabilities, not dependencies. Every engagement includes pair programming, documentation, and knowledge-sharing sessions to upskill your internal team.
Kubernetes, Docker, Terraform, AWS/GCP/Azure, GitHub Actions, ArgoCD, Prometheus, Grafana, PostgreSQL, Redis, Go, Python, Node.js. We focus on cloud-native, infrastructure-as-code, and observability-first architectures.
For embedded engineers, we typically match you within 7-10 days. For full squads, expect 2-3 weeks for initial ramp-up, including discovery and onboarding.
Ready to elevate your infrastructure?
Let's discuss how our team can help you ship faster and operate with confidence.