Magdum Sajan

DevOps Engineer

Pune, Maharashtra, India12 yrs 2 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

11+ years of experience in DevOps architecture.
Expert in Azure cloud solutions and automation.
Proven track record in cost optimization and security.

Stackforce AI infers this person is a DevOps Architect specializing in SaaS and cloud infrastructure solutions.

Contact

Skills

Core Skills

DevopsAzureSecurityMonitoringCost ManagementCloud ComputingTechnical SupportLinuxSoftware EngineeringHadoop

Other Skills

AADACRAWSAmazon Web Services (AWS)AnsibleApacheApache AirflowApache AmbariArtifactoryAzure BicepAzure BlobAzure DatabricksAzure DevOpsAzure Key VaultAzure Monitor

About

Seasoned DevOps Solution Architect with 11+ years of experience driving infrastructure automation, security, observability, and cost-optimized cloud solutions. Proven success in architecting scalable deployment pipelines, enforcing DevSecOps practices, and leading cross-functional engineering initiatives on Azure. Adept at transforming traditional ops into modern, resilient, and auditable DevOps workflows. If you’d like to learn more about how my services can help your company, please reach out via email (magdumsajan324@gmail.com).

Experience

12 yrs 2 mos

Total Experience

3 yrs

Average Tenure

5 yrs 2 mos

Current Experience

Blue yonder

2 roles

Lead Software Engineer

Jul 2024 – Present · 1 yr 11 mos · Remote

DevOps Architect

Apr 2021 – Present · 5 yrs 2 mos · Remote

Architected and deployed an Ansible-based automation framework using Azure
Bicep and GitHub Actions, provisioning Azure Blob, Redis, Postgres, ACR, and AAD
across environments.
Secured CI/CD processes by integrating GitHub Environments with Azure Key
Vault for secret management, enabling safe and consistent pipeline executions.
Developed automation scripts in Python for deployment workflows,
observability instrumentation, and microservice configuration; contributed to
service codebases built on Flask, FastAPI, and NumPy.
Authored Shell scripts for data parsing, GitHub Actions reuse, and cross-
environment tooling, reducing repetitive manual eﬀorts by 60%.
Played a lead role in solution design, creating high-level and low-level design
documents, presenting proof-of-concept (PoC) implementations to leadership,
and converting approved designs into actionable epics and user stories across
sprints.
Participated in the end-to-end code review lifecycle, reviewing CI/CD scripts, IaC
modules, and service-level changes with a focus on compliance, scalability, and
long-term maintainability. Ensured clean, secure, and auditable code through
structured review feedback and formal approvals.
Introduced and enforced DevSecOps tools like 42Crunch, pip-audit, and
BlackDuck to identify and eliminate vulnerabilities during the CI phase.
Automated deployment of Kibana alerts and dashboards, and developed
custom observability metrics via Elastic and Prometheus to enable consistent
monitoring across services.
Designed Application Performance Monitoring (APM) using Elastic APM and
Azure Monitor for latency and throughput analysis of key customer-facing
services.
Conducted cost optimisation analysis across Azure subscriptions, using usage
patterns and metric trends to identify and address high-burn services, driving
significant savings.

AnsibleAzure BicepGitHub ActionsAzure BlobRedisPostgres+13

Cloudera

Sr.COE

Jun 2018 – Apr 2021 · 2 yrs 10 mos

Support Hortonworks products such as HDP, HDF, HCP, CloudBreak, DPS/DLM etc
Provide support to Hortonworks customer and help them resolve the issues they face in Hadoop platform
Building Kubernetes clusters for troubleshooting CDP both with kubeadm and the hardway
Providing Root Cause Analysis by analyzing various system level & application level logs
Help L1 support engineers in their cases and help them to provide faster resolution to customers
Write KB articles and conduct team sessions to share technical knowledge
Help customers to implement best practices as per their use case requirements
Replicate same environment as customer’s env and provide faster & accurate resolution bugs if any
Closely work with engineering team to provide bug hotfixes
Integrated Kubernetes with CI/CD pipelines and AWS services, ensuring seamless deployments.
Utilized AWS services for infrastructure provisioning and application deployment.
Leveraged AWS for cloud computing, storage, and security solutions in client projects.

HortonworksKubernetesAWSRoot Cause AnalysisCloud ComputingDevOps

Red hat

Technical Engineer

Jan 2017 – Jun 2018 · 1 yr 5 mos · Pune Area, India

o Providing Technical support to Enterprise customers on Red Hat Enterprise Linux.
o Advanced troubleshooting and debugging skills, for problem solving and investigation
o Collaborate with different in-house teams and provide resolution to customers
o Good understanding of Networking fundamentals and protocol knowledge such as TCP/IP, NFS, CIFS, DNS
o Good Understanding of Storage Networking Technologies such as FC SAN, ISCSI, FCOE
o Troubleshoot and reproduce the issues related to SCSI layer, LVM and Device Mapper Multipath
o Advanced troubleshooting of performance related issues.
o Troubleshoot booting related issues.
o Understanding of kernel internals.
o Root Cause Analysis on Server Hang & Panic Issues on Red Hat Enterprise Linux.
o Basic Vmcore Analysis.
o Provide consultation on Performance tuning of the operating system ( Memory / Disk IO / CPU ).
o Use of Perf, Oprofile utilities to profile a particular application or complete OS and identify the code level bottlenecks & opportunities for optimization.
o Using strace and ltrace to identify time spent by system calls or library calls and monitor respective errors.
o Documenting technical issues in a Kbase Article.

Red Hat Enterprise LinuxNetworkingStorage NetworkingPerformance TuningTechnical SupportLinux

Syntel

Software Engineer

Mar 2014 – Dec 2016 · 2 yrs 9 mos · Pune

Understand and analyse customer’s use case and Deploy Company’s product like OneSource.
Install, Upgrade and Test the product as and when required on Various Linux/Unix systems
Troubleshoot the issues by analysing various log files
Replicate issues on test cluster and resolve them in given SLA
Set up production Hadoop clusters with optimum configurations
Manage Hadoop cluster, monitoring alerts and notification
Deployment of upgrades, updates and patches
Provide 24x7 tier-3 troubleshooting and break-fix support for production services
Diagnosis of installation, configuration issues, cluster management issue and performance issues
Working with data delivery teams to setup new Hadoop users. which includes setting up Linux users, setting up Kerberos principals, Creating Kerberos principal and testing HDFS, Hive, Pig and MapReduce access for the new users