DevOps Engineer | Automation Architect | Production Specialist

I build Production Systems that don't panic when your business scales

DevOps · AI Automation · Grafana Dashboards · Cloud Systems

Built for Real Traffic, Real Failures, Real Teams and Real Production Pressure

Your infrastructure deserves someone who’s been there at 2am

Top Rated Plus on Upwork |

50+ Projects Delivered |

100% Job Success |

0 %

Uptime Delivered

0 %

Faster Releases

0 %

Cloud Cost Saved

0 hr

Reply Time

✓ Deploy — 0 downtime

📊 All systems green

⚡ Pipeline running

🇺🇸 United States

 🇬🇧 United Kingdom

 🇨🇦 Canada

 🇦🇺 Australia

🌍 Your Timezone

— WHO THIS IS FOR

I Partner with Teams Who Care AboutLong-Term Systems, Not Quick Hacks

I’m not a general freelancer. I work with teams who already care about production quality but need help stabilising, scaling, or automating it properly.

FOR SCALE

SaaS Founders

Scaling from MVP → Growth. Systems breaking under real traffic and you need someone who’s fixed this before

FOR DELIVERY

Agencies

Needing a reliable delivery partner for DevOps, automation, or infrastructure work on client projects

FOR STABILITY

Product Teams​

Tired of duct-taped systems and constant firefighting. You want engineering time back on building product

FOR GLOBAL OPS

Global Companies

Operating across US, UK, Canada & Australia. Needs someone who works in your timezone and communicates like a team member

I don’t take one-off “cheap fixes”

I work on systems that need to last. If you want something patched until it breaks again, I'm probably not the right fit

Problems I'm Usually Called In To Fix

When Growth StartsExposing Cracks

When systems are fragile, growth feels painful
I make them stable, automated, and observable & fast

Deployments that break under real traffic

Everything works in staging, until real users arrive. I design deployment pipelines that stay predictable and boring, even under peak load

CI/CD pipelines that work “sometimes”

If deployments only succeed when the “right person” runs them, you don’t have a pipeline, you have a risk. I build systems that are predictable and repeatable

Manual ops stealing engineering time every week

Engineers should be building product, not running the same manual steps again and again. I automate repetitive operations so teams focus on what moves the business forward

Automations that fail as soon as you scale

You built automations that worked at 100 users. Now you have 10,000 and everything’s breaking. I build workflows that scale with your business, not against it

No visibility into system health or performance

When something breaks, nobody knows where to look. No metrics. No alerts. Just guessing. I implement monitoring so issues are visible, actionable, and fixable & fast

If any of these sound familiar

I was built for exactly this

— WHAT I DO

Four ServicesOne Standard: Production-Grade

I don’t offer generic DevOps. I offer specific solutions to specific production problems. Every engagement is scoped, documented, and delivered with zero drama.

01

DevOps & CI/CD

Production DevOps & CI/CD Engineering

Reliable deployments. Zero 3AM pages. Systems your team trusts.

WHAT'S INCLUDED
BEST FOR

SaaS companies, product teams, startups scaling past 10k users

TIMELINE

2–6 weeks depending on scope

STARTING AT

$2,500 / project

GitHub Actions

Docker

Kubernetes

Terraform

02

MONITORING & OBSERVABILITY

📊

Grafana Observability Stack

See everything. Know instantly. Fix before users notice.

WHAT'S INCLUDED
BEST FOR

Teams flying blind in production / post-incident recovery

TIMELINE

1–3 weeks

STARTING AT

 $1,500 / project

Prometheus

Grafana

Loki

AlertManager

03

WORKFLOW AUTOMATION

🤖

End-to-End Workflow Automation

If your team is doing it manually every week, I will automate it.

WHAT'S INCLUDED
BEST FOR

Marketing agencies, operations teams, SaaS with manual workflows

TIMELINE

3 days – 4 weeks

STARTING AT

 $800 / project

n8n

Make.com

Zapier

REST APIs

04

FULL-STACK ENGINEERING

Full-Stack Engineering

When you need a builder who also understands what happens after you deploy.

WHAT'S INCLUDED
BEST FOR

Small teams needing a senior engineer who thinks in production

TIMELINE

Project-based or retainer

STARTING AT

$3,000 / project

Node.js

React

Python

PostgreSQL

— WORKING WITH ME

No SurprisesNo Silence.. Ever

The #1 fear of hiring remotely is being left in the dark. I built my entire process around making sure that never happens.

01

We Talk First — No Pitch, No Pressure

I ask questions. I listen. I want to understand your business, not just your tech stack. By the end of the first call, you’ll have clarity you didn’t have before. 20 minutes. No commitment

02

You See the Full Plan Before I Touch Anything

I send a complete scope — what I’ll build, why, how long, what it costs. You approve it. Then we move. No hidden phases, no scope creep surprises

03

I Build It. You Watch It Happen

Regular updates. Shared progress. You’re never staring at a black box. Clear proposal: scope, timeline, fixed price. We only start if it’s the right fit for both of us

04

You Walk Away Owning Everything

Full documentation. Full handover. I train your team if needed. You could run it all without me — that’s exactly how I want it. No dependency. No vendor lock-in

bisma@devops — deploy.sh

bisma@prod ~ $ ./deploy.sh –env production

# Running pre-deployment checks…

▸ Docker image built …………. ✓
▸ Security scan (0 critical) ….. ✓
▸ Unit tests 248/248 …………. ✓
▸ Integration tests passed …….. ✓

# Deploying to Kubernetes…

▸ Rolling update 0/3 → 1/3 → 3/3 ✓
▸ Health checks all pods ……… ✓
▸ Grafana alerts …………….. ✓ green

✓ Deployment complete — 0 downtime · 2m 14s

bisma@prod ~ $ # Friday deploy. Boring. Perfect.

— Production Case Files

Production WorkNot Portfolio Theatre

I build the kind of infrastructure teams trust at 2am. No fake clients. No exaggerated metrics. Every project below reflects real production constraints

CI/CD

PROBLEM 01 · PRODUCTION RISK

Stabilising Production Releases, From 2hr Manual Checklist to 8-Min Automated Pipeline

Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.

📈 75% faster deploys · Zero production incidents post-launch

GitHub Actions

Docker

AWS ECS

Terraform

Observability

Problem 04 · Blind Failure

No Visibility → Full Real-Time Observability Stack in 2 Weeks

A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.

📈 60% faster incident response · Issues caught 40min earlier avg

Prometheus

Grafana

AlertManager

Loki

Automation

Problem 03 · Operational Drag

Manual Ops Stealing 15hrs/Week → 23 Workflows Running Themselves

An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.

📈 15 hrs/week reclaimed· Full ROI in first 3 weeks

n8n

Make.com

REST APIs

Webhooks

Cloud & Infra

Problem 02 · Release Fragility

Over-Provisioned Cloud Chaos → 38% Cost Reduction, 99.97% Uptime

A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.

📈 38% cloud cost reduction · 99.97% uptime maintained

Kubernetes

Helm

Terraform

AWS

CI/CD

PROBLEM 01 · PRODUCTION RISK

Stabilising Production Releases, From 2hr Manual Checklist to 8-Min Automated Pipeline

Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.

📈 75% faster deploys · Zero production incidents post-launch

GitHub Actions

Docker

AWS ECS

Terraform

Observability

Problem 04 · Blind Failure

No Visibility → Full Real-Time Observability Stack in 2 Weeks

A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.

📈 60% faster incident response · Issues caught 40min earlier avg

Prometheus

Grafana

AlertManager

Loki

Automation

Problem 03 · Operational Drag

Manual Ops Stealing 15hrs/Week → 23 Workflows Running Themselves

An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.

📈 15 hrs/week reclaimed· Full ROI in first 3 weeks

n8n

Make.com

REST APIs

Webhooks

Cloud & Infra

Problem 02 · Release Fragility

Over-Provisioned Cloud Chaos → 38% Cost Reduction, 99.97% Uptime

A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.

📈 38% cloud cost reduction · 99.97% uptime maintained

Kubernetes

Helm

Terraform

AWS

CI/CD

PROBLEM 01 · PRODUCTION RISK

Stabilising Production Releases, From 2hr Manual Checklist to 8-Min Automated Pipeline

Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.

📈 75% faster deploys · Zero production incidents post-launch

GitHub Actions

Docker

AWS ECS

Terraform

Observability

Problem 04 · Blind Failure

No Visibility → Full Real-Time Observability Stack in 2 Weeks

A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.

📈 60% faster incident response · Issues caught 40min earlier avg

Prometheus

Grafana

AlertManager

Loki

Automation

Problem 03 · Operational Drag

Manual Ops Stealing 15hrs/Week → 23 Workflows Running Themselves

An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.

📈 15 hrs/week reclaimed· Full ROI in first 3 weeks

n8n

Make.com

REST APIs

Webhooks

Cloud & Infra

Problem 02 · Release Fragility

Over-Provisioned Cloud Chaos → 38% Cost Reduction, 99.97% Uptime

A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.

📈 38% cloud cost reduction · 99.97% uptime maintained

Kubernetes

Helm

Terraform

AWS

CI/CD

PROBLEM 01 · PRODUCTION RISK

Stabilising Production Releases, From 2hr Manual Checklist to 8-Min Automated Pipeline

Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.

📈 75% faster deploys · Zero production incidents post-launch

GitHub Actions

Docker

AWS ECS

Terraform

Observability

Problem 04 · Blind Failure

No Visibility → Full Real-Time Observability Stack in 2 Weeks

A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.

📈 60% faster incident response · Issues caught 40min earlier avg

Prometheus

Grafana

AlertManager

Loki

Automation

Problem 03 · Operational Drag

Manual Ops Stealing 15hrs/Week → 23 Workflows Running Themselves

An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.

📈 15 hrs/week reclaimed· Full ROI in first 3 weeks

n8n

Make.com

REST APIs

Webhooks

Cloud & Infra

Problem 02 · Release Fragility

Over-Provisioned Cloud Chaos → 38% Cost Reduction, 99.97% Uptime

A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.

📈 38% cloud cost reduction · 99.97% uptime maintained

Kubernetes

Helm

Terraform

AWS

CI/CD

PROBLEM 01 · PRODUCTION RISK

Stabilising Production Releases, From 2hr Manual Checklist to 8-Min Automated Pipeline

Deployments were failing intermittently during peak traffic. I rebuilt the entire CI/CD system, now it deploys, tests, and alerts automatically. No humans required.

📈 75% faster deploys · Zero production incidents post-launch

GitHub Actions

Docker

AWS ECS

Terraform

Observability

Problem 04 · Blind Failure

No Visibility → Full Real-Time Observability Stack in 2 Weeks

A fintech team found out about outages from client tweets. 12 custom Grafana dashboards — every API call, every slow query, every anomaly now visible before users notice.

📈 60% faster incident response · Issues caught 40min earlier avg

Prometheus

Grafana

AlertManager

Loki

Automation

Problem 03 · Operational Drag

Manual Ops Stealing 15hrs/Week → 23 Workflows Running Themselves

An agency spent 15+ hrs/week on manual steps across CRM, invoicing, Slack, and email. I mapped every workflow and automated all 23. They got 2 full working days back per week.

📈 15 hrs/week reclaimed· Full ROI in first 3 weeks

n8n

Make.com

REST APIs

Webhooks

Cloud & Infra

Problem 02 · Release Fragility

Over-Provisioned Cloud Chaos → 38% Cost Reduction, 99.97% Uptime

A startup was bleeding on idle cloud resources with no idea why bills kept climbing. I rebuilt their Kubernetes infrastructure with Terraform, right-sized everything, and cut monthly spend by 38%.

📈 38% cloud cost reduction · 99.97% uptime maintained

Kubernetes

Helm

Terraform

AWS

— How I Think in Production

Production failures rarely come from bad toolsThey come from bad decisions under pressure

This is how I make decisions when systems are live and stakes are high

Decision Pillar 01

What I Prioritize Under Pressure

Stability → Visibility → Speed

  • Stability over speed
  • Rollbacks before hero fixes
  • Visibility before optimization

When systems are live, my first job is not to ship faster, it’s to reduce blast radius and protect users

Decision Pillar 02

What I Refuse to Ship

Non-Negotiable Standards

  • Pipelines that can’t be rolled back safely
  • Automation without monitoring or alerts
  • Changes that only work when “the right person” is online

If a system can’t fail safely, it’s not production-ready

Decision Pillar 01

What I Say "No" To

Where I Draw the Line

  • Manual fixes disguised as automation
  • Fragile CI/CD held together by tribal knowledge
  • Short-term patches that create long-term risk

Saying “no” early prevents outages later

— Technical Arsenal

My Stack

How I help teams scale — safely, predictably, and without surprises. Practical systems. Production-ready automation. No fragile setups

☁️ CLOUD

AWS

Azure

GCP

DigitalOcean

⚙️ CI/CD & IaC

GitHub Actions

GitLab CI

Jenkins

ArgoCD

Terraform

Ansible

🐳 Containers

Docker

Kubernetes

Helm

Docker Compose

📊 Monitoring

Prometheus

Grafana

AlertManager

ELK Stack

Datadog

Loki

🤖 Automation

n8n

Make.com

Zapier

REST APIs

Webhooks

💻 Dev

React

Node.js

Python

Bash/Shell

PostgreSQL

MongoDB

Oracle

— Why Teams Trust Me in Production

I focus on clarity, reliability, andlong-term thinking

My goal is simple: reduce risk, increase confidence, and leave systems better than I found them. I optimize for systems that last not speed at the cost of stability

🌍

4+ years working directly with live, production systems

Not just demos, real environments, real traffic, real accountability. When something breaks at 2am, I’ve been there before.

⚙️

DevOps + Cloud + Automation, End-to-End

From pipelines and infra to workflows and integrations that teams actually use. I don’t hand you half a system.

📝

Clear communication + documented decisions

You always know what changed, why it changed, and what happens next. No black boxes. No tribal knowledge left behind.

🤝

Comfortable owning delivery or joining your team

I can lead independently or plug into existing teams without slowing them down. Top Rated Plus on Upwork · Usually reply within 4 hours.

BI
Available for New Projects

Bisma Idrees

DEVOPS · AUTOMATION · FULL STACK

DevOps Engineer and Automation Architect based in Lahore. I help startups and enterprises ship faster, run cleaner, and spend less on cloud. Specialising in the rare combination of CI/CD, production Grafana observability, and end-to-end no-code automation.

50+
Projects
100%
Job Success
⭐ Top
Rated Plus

bismaidrees@outlook.com

— WHAT CLIENTS SAY

Don't Take MyWord For It

Real feedback from real clients who were exactly where you are now

★★★★★

Bisma didn’t just set up our CI/CD pipeline — she rewrote how we think about deployments. We went from dreading Fridays to shipping twice a day without a second thought.

MK

Marcus K.

CTO, SaaS Startup — United States

Verified

★★★★★

I was skeptical about the timezone difference. I shouldn’t have been. Bisma responded faster than my local contractors and caught a critical DB issue before any client noticed.

SR

Sarah R.

Head of Eng — UK

Verified

★★★★★

“The automation work reclaimed 15 hours a week for my team. She spotted three workflows I hadn’t thought about and automated those too. Recommended without reservation.”

JP

James P.

 Founder — Australia

Verified

★★★★★

“Working with Bisma felt like having a senior DevOps engineer on our team full-time. She flagged risks we hadn’t seen and delivered ahead of schedule. We’ve rehired her twice.”

AL

Alex L.

 VP Eng — Canada

Verified

★★★★★

“Our cloud bill dropped 38% in the first month. Bisma identified waste we didn’t know existed. Clear communication throughout — always knew exactly what was happening.”

RN

Rachel N.

CTO, FinTech — Australia

Verified

GOT QUESTIONS

Frequently Asked Questions

Everything you need to know before we work together

01 — Do you work on hourly or project basis?

Both. Most projects are scoped and fixed-price so you know exactly what you’re getting. For ongoing work, I offer monthly retainers.

Both. I’m comfortable leading independently for solo founders, or plugging into an existing engineering team as a specialist. I adapt to your workflow, Slack, Jira, Linear, whatever you use.

Start with the free 30-minute audit call. Tell me what’s breaking. I’ll tell you what I’d do and whether we’re a good fit. No pitch. No pressure.

Yes, I’m Top Rated Plus on Upwork with 100% job success. You can find me there as Bisma Idrees. I also work directly with clients outside of platforms for larger engagements.

I’m based in Lahore (PKT, UTC+5). I overlap with US morning hours, full UK business hours, and Australian early evenings. I typically reply within 4 hours during business days, often much faster.

Let's Talk

Let's talk about

your infrastructure

Tell me what you’re building or breaking. I’ll give you a straight answer on whether and how I can help

No pressure. No pitch. No templated response. I read every message personally

WHAT HAPPENS NEXT


  • I read your message — personally, same day

  • Quick discovery call — 20 min, no commitment

  • Clear proposal — scope, timeline, fixed price

  • We start — only if it’s the right fit for both of us

● GET IN TOUCH

Let's talk about

Your Infrastructure

No Pressure & No Pitch

Tell me what you’re building or breaking. I’ll give you a straight answer on whether and how I can help

AVAILABLE FOR NEW PROJECTS

Usually reply within 4 hours

I read every message personally. If your project is a good fit, I’ll respond with specific thoughts, not a templated quote

UPWORK

Bisma Idres - Top Rated Plus

EMAIL

bismaidrees@outlook.com

What happens next

I read your messagepersonally, same day

Quick discovery call20 min, no commitment

Clear proposal scope, timeline, fixed price

We start only if it’s the right fit for both of us

Tell me about your project

Fill this out and I’ll come back with real thoughts, not a sales pitch.

Get 30% off your first purchase

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