Pankaj Tandon — Software Engineer

A seasoned professional in building & leading software products in the distributed data management and infrastructure domain. • Fortunate to get opportunities that have shaped me to be adaptive, learn-quickly and be a team-player. • Proven track records of both building 0-1 products as well as owning a large & complex codebase. I take pride in nurturing learn-share-learn & growth oriented culture. • With over a decade of expertise in distributed systems and backend microservices, I enable resilient and scalable infrastructure solutions. Area of Expertise: ----------------- • "Storage & Retrieval" :: - Replication, Disaster Recovery, Clustering, High availability, Resiliency, Snapshots - Backup&Recovery adapter, Tiering, De-duplication, Caching solutions - Standard Data Access (Storage& Retrieval) protocols: NFS/SMB/S3/iSCSI protocols - Database internals • "Infrastructure" (Cloud-Cluster-Container) :: - PaaS/SaaS Backend development (Server-Side Programming) and Platform Engineering - LegacyApp Containerization, Managed Kubernetes internals, Microservices architecture - Used some open-source cloud-specific as well cloud-agnostic libraries/SDKs Skill Set: -------- • C/C++, GOlang, Python, Shell Scripting • Docker, Kubernetes, AWS/Azure/GCP SDKs, OpenTelemetry/Observability • Distributed systems, SQL and No-SQL Databases • Backend APIs development and Platform/Infrastructure Engineering • Kernel/User level System Programming on Unix like OS's: Linux, Solaris, HPUX, AIX About Me: ---------- I am a friendly and highly-ethical person. I love to wear multiple hats and work with ownership & sincerity. I am a sports enthusiast.

Stackforce AI infers this person is a Backend Infrastructure Engineer with extensive experience in cloud-native solutions and distributed systems.

Experience: 14 yrs 10 mos

Skills

Platform Engineering
Distributed Systems
Backend Development
Aws
Observability
Cloud Architecture
Disaster Recovery
Microservices
Data Management
Kubernetes
Cloud Infrastructure
Infrastructure Management
Storage Management
Embedded Systems

Career Highlights

Over a decade of expertise in distributed systems.
Led multiple successful product development projects.
Strong advocate for growth-oriented team culture.

Work Experience

Microsoft

Principal Software Engineer (5 mos)

Self-Employed

Consultant (Data/Infra/Storage/Backend) (2 yrs 10 mos)

Cohesity

Team Lead (HyperConverged Data Management Platform) (3 yrs 11 mos)

appOrbit

Principal Software Engineer (Kubernetes/Hybrid-Cloud StartUp) (2 yrs 6 mos)

Veritas

Principal Software Engineer (Block Storage) (7 yrs 11 mos)

Texas Instruments

Summer Trainee (2 mos)

Education

B.Tech at Indian Institute of Technology, Kharagpur

Senior Secondary at Kendriya Vidyalaya Sec-47, Chandigarh

Pankaj Tandon

Software Engineer

India14 yrs 10 mos experience

Highly Stable

Key Highlights

Over a decade of expertise in distributed systems.
Led multiple successful product development projects.
Strong advocate for growth-oriented team culture.

Stackforce AI infers this person is a Backend Infrastructure Engineer with extensive experience in cloud-native solutions and distributed systems.

Contact

pankajsinghtandon@gmail.com LinkedIn

Skills

Core Skills

Platform EngineeringDistributed SystemsBackend DevelopmentAwsObservabilityCloud ArchitectureDisaster RecoveryMicroservicesData ManagementKubernetesCloud InfrastructureInfrastructure ManagementStorage ManagementEmbedded Systems

Other Skills

AWS Boto3 SDKAgile MethodologiesAlgorithmsAmazon Web Services (AWS)Automation ScriptsBackup & RestoreCC++Cloud ComputingCloud Infrastructure ManagementClusterCoaching & MentoringCross-functional Team LeadershipData StructuresDatadog

About

Experience

Microsoft

Principal Software Engineer

Oct 2025 – Present · 5 mos · Bengaluru, Karnataka, India · Hybrid

Microsoft Azure

Self-employed

Consultant (Data/Infra/Storage/Backend)

Nov 2022 – Sep 2025 · 2 yrs 10 mos · Gurugram, Haryana, India · Remote

Collaborated on multiple ideation sessions and proof-of-concept projects for early-stage startups
Developed hands-on pet projects utilizing IoT technologies and AWS SDKs
Design & Developed the backend for a healthcare mobile app using AWS Boto3 SDK, improving data management efficiency
Last project : I led the migration to an OpenTelemetry compliant observability stack, enhancing our private cloud services. Improved system reliability and performance for both connected and disconnected versions of the platform. Also led the devops/deployment team, and utilized expertise in private cloud architecture to automate & optimize workflows and processes.

GoDistributed SystemsPlatform ArchitectureAmazon Web Services (AWS)FlaskPython+7

Cohesity

Team Lead (HyperConverged Data Management Platform)

Dec 2018 – Nov 2022 · 3 yrs 11 mos · Pune, Maharashtra, India · On-site

Here I led few development projects, achieving notable improvements in data handling and security.
Design, develop & deployed cross-geo disaster recovery solution, ensuring high availability and resilience for critical workloads.
Developed backend & APIs for data access protocols, enhancing user experience and security.
NFSv4.1 Kerberos/Active-Directory/Access-control-list, NLM (Lock Manager) for NFSv3, SMBv2 Symlink/ReparsePoint, Trash for filer etc.
Enhanced NAS storage solutions, e.g. optimizing backup, restore, tiering and analytics functionalities.

GoREST APIElasticsearchPaaSMicroservicesKubernetes+8

Apporbit

Principal Software Engineer (Kubernetes/Hybrid-Cloud StartUp)

Jun 2016 – Dec 2018 · 2 yrs 6 mos · Pune, Maharashtra, India · On-site

Led the design and development of appOrbit's Managed-Kubernetes modules, enhancing cloud-cluster-container based infrastructure management.
Spearheaded modernizing legacy applications into cloud-native solutions, improving deployment efficiency and increased the support matrix drastically.
Acted as a Subject Matter Expert for Docker and Kubernetes, providing troubleshooting support across teams.
Delivered presentations on Docker and Kubernetes at local meetups, fostering community engagement and knowledge sharing.

KubernetesAmazon Web Services (AWS)Google Cloud Platform (GCP)Legacy ModernizationPythonDocker+5

Veritas

Principal Software Engineer (Block Storage)

Jul 2008 – Jun 2016 · 7 yrs 11 mos · Pune Area, India · On-site

Brief about Products:
Product Description:
VxVM is a storage management subsystem that overcomes physical restrictions imposed by hardware disk devices by providing a logical volume management layer.
Expertise:
Flexible Storage Sharing: (Shared Nothing Storage based Clustering product for both failover and parallel clustering applications)
Clustered Volume Manager (Shared Storage based)
Campus Cluster (DR solution for metro-cluster over FC channel). I led this team of 3 engineers.
Fast Mirror Resync (Snapshots and Faster-Recovery solution)
Gained Basic knowledge on:
Volume Replicator (Disk Block Level Storage Replication product)
Dynamic Multipathing (specially ASL/APM: SCSI standards, commands, protocols etc.)
Projects :
For initial 3 years, I was mostly involved in bug-fixing, and small enhancements.
Later, I led the development of a Campus Cluster DR solution, ensuring timely resolution of technical queries and integration with dependent components. Implemented features like Storage split handling and preferred-site.
Implemented Docker volume plugin for Veritas Volume Manager (written in Go lang) and also proposed some alternate deployment models for different use-cases.
Led & partly contributed to SmartIO (block/file level caching) GUI support: configuration, operations, monitoring, performance charts, heuristics etc.

UnixStorage SolutionsSnapshotHigh AvailabilityShell ScriptingDistributed Systems+7

Texas instruments

Summer Trainee

May 2007 – Jul 2007 · 2 mos · Bengaluru Area, India · On-site

During my summer internship at Texas Instruments, I focused on crash analysis of embedded devices, specifically targeting ARM architecture systems. I developed a debug strategy and automation scripts that significantly improved the process of extracting state information after system crashes. This initiative not only streamlined troubleshooting but also identified key failure points, contributing to enhanced system stability.