Kamran iqbal
@kamraniqbal
I am a Senior DevOps Engineer specializing in AWS and SRE.
What I'm looking for
I am a Senior DevOps Engineer with 5+ years of experience architecting, automating, and optimizing secure, scalable cloud infrastructure on AWS. I focus on building highly available systems using services such as EC2, S3, RDS, Lambda, EKS and CloudWatch.
I design and implement CI/CD pipelines and infrastructure as code using Terraform, CloudFormation, Jenkins, GitHub Actions, Docker and Kubernetes, and I have led migrations to AWS while enforcing security best practices and disaster recovery strategies. I automate operational tasks with Ansible, Bash and Python and use Prometheus, Grafana and the ELK stack for monitoring and logging.
I am passionate about continuous improvement, performance optimization, and cross-functional collaboration to align DevOps practices with business outcomes. I seek roles where I can drive reliable delivery, reduce time-to-market, and mentor teams on cloud-native and automation best practices.
Experience
Work history, roles, and key accomplishments
Python Developer
Stack Focus
Aug 2019 - Jan 2020 (5 months)
Developed scalable Python backends and RESTful APIs with Django and Flask, automating tasks and reducing manual processes. Wrote unit and integration tests with PyTest and processed data using NumPy/Pandas to support analytics.
Education
Degrees, certifications, and relevant coursework
Bahauddin Zakariya University
Bachelor of Science, Software Engineering
2015 - 2019
Activities and societies: Developed Child Vaccine Application with infrastructure-as-code (Terraform/CloudFormation), CI/CD pipelines (Jenkins/GitLab CI), containerization and orchestration (Docker, Kubernetes), monitoring (Prometheus, Grafana), centralized logging (ELK), database backup/DR, and implemented security best practices (SSL/TLS, access controls).
Bachelor of Science in Software Engineering from Bahauddin Zakariya University (Sep 2015–Jul 2019). Completed a Child Vaccine Application project focusing on infrastructure automation, CI/CD, monitoring, security, and scalability.
Tech stack
Software and tools used professionally
AWS IAM
Amazon S3
GitHub
GitLab
Kubernetes
Amazon EKS
AWS CodePipeline
Jenkins
GitHub Actions
GitLab CI
NumPy
Pandas
Gmail
Django
Terraform
AWS CloudFormation
JavaScript
PowerShell
Fluentd
Django REST framework
Grafana
Prometheus
Ubuntu
CentOS
Linux
Windows
Datadog
Heroku
AWS WAF
Ansible
AWS Lambda
Serverless
pytest
Root Cause
s3-lambda
SQL
Availability
Location
Authorized to work in
Job categories
Skills
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