Headline

Senior Site Reliability Engineer | Platform Engineering | Kubernetes | AWS | EKS | Terraform | Python | Linux | GitHub Actions | CI/CD | Observability | Prometheus | Cloud Infrastructure | Ex-Akamai | Ex-Netskope

About

I'm a Senior Site Reliability Engineer with 5+ years building and operating cloud-native platforms on AWS at scale. My work sits at the intersection of reliability, automation, and developer experience. I've re-architected CI/CD pipelines (Jenkins to GitHub Actions) for ~5x faster, safer deployments, removing race conditions caused by shared temp files. I've built self-service tooling that takes SRE out of the critical path, including queue autoscaling usable from mobile during off-hours incidents, a GenAI-powered deployment assistant, and unified SQS/queue monitoring dashboards. On the observability side, I've led POCs across Datadog, New Relic, SigNoz, and ELK for log search and infrastructure monitoring, driven production log analysis that shaped a company-wide log reduction initiative, and implemented proactive memory/heap monitoring that cut incident-driven instance scaling to near zero. Core strengths: Kubernetes (EKS) administration, Terraform and Infrastructure-as-Code, Python/Boto3 automation, GitHub Actions and Jenkins CI/CD, Prometheus/Grafana observability, incident response and RCA, and cross-functional collaboration across engineering teams. Across my career I've worked as a Site Reliability Engineer, DevOps Engineer, and Infrastructure/Platform Engineer, debugging production issues across MongoDB, Kafka, Redis, and ClickHouse, and supporting large-scale distributed systems end to end. I hold an M.Tech in Advanced Computing from NIT Bhopal, practice DSA daily, and keep deepening Kubernetes internals, Linux, Docker, and Python. I also write technical deep-dives on dev.to (http://dev.to/), most recently on SSH internals and the Linux kernel. Open to connecting with fellow SRE / DevOps / Infrastructure / Forward Deployed Engineer always up for a conversation on reliability, automation, and observability at scale. 📍 Bengaluru, India 🌍 Open to fully remote roles with global teams (USD) 📩 mhasifkamal@gmail.com 📞 +918295664726

Location

Bengaluru

AI stack

claude code

gemini

openai

ChatGPT

ChatGPT Images

Guardrails AI

Work experience

Senior Site Reliability Engineer at Bidgely, Jan 2025 - Present · 1 yr 9 mos, Bengaluru, Karnataka, India, I successfully streamlined cloud operations and improved deployment efficiency through automation and observability practices. • Utilized Boto3 to interact with AWS services, optimizing resource management across EC2, S3, and Lambda. • Managed containerized workloads with Docker and Kubernetes, ensuring scalable and resilient application deployments. • Collaborated with cross-functional teams to identify production issues and implement infrastructure improvements.

Software Engineer II at Akamai Technologies, Jan 2024 - Jan 2025 · 1 yr 1 mo, Remote

Site Reliability Engineer at Akamai Technologies, Oct 2022 - Jan 2024 · 1 yr 4 mos, Bengaluru, Karnataka, India, Debugging and fixing the code written in various languages like Perl, python, and PHP. Enhancing the features and optimizing the code. Monitoring the incoming request via ticket, mail. Working with database to assign the access , also optimizing and updating the sql query as per the requirement. Using ansible to run the various jobs.

DevOps Engineer at Netskope, Nov 2021 - Oct 2022 · 1 yr, Bengaluru, Karnataka, India, Work on - debugging production issues - Jenkins - Ansible - Sumo logic - Mysql - kafka - kubernetes (GKE) - Helm - Spinnaker - mongodb - redis ( Basics understanding of redis) - grafana (created dashboard and alert) - prometheus ( work on the promql)

Site Reliability Engineer at Halodoc ID, Jul 2021 - Oct 2021 · 4 mos, Bangalore Urban, Karnataka, India, Work on different technologies:- - Shell Scripting -- Create Shell Script to Install all the Software Used in the Organisation. So it will save time. - Pre-Commit -- Pre-Commit helps us to automatically debug our code and also maintains the code structure using the git hooks. I Configure the hooks for Server Side . - Jenkins -- I Created the Jobs using the groovy script and Migrate the jobs from manual to the pipeline Jobs. - Percona Monitoring and Management -- In this, I have configured an end-to-end setup. I add the instance to monitor and enable the alerting rules. I have added 61+ database that is on AWS. - Explore other technology and hands-on practice -- Docker -- Kubernetes -- Ansible -- Terraform -- AWS

Education

Master of Technology - MTech, Advanced computing, Maulana Azad National Institute of Technology

Bachelor of Technology - BTech, Computer Science, Guru Jambheshwar University of Science and Technology, Hissar