Pratyush Prateek

Senior Software Engineer

Varanasi, Uttar Pradesh, India5 yrs 9 mos experience

Highly Stable

Key Highlights

Built scalable data ingestion pipelines improving performance tenfold.
Designed secure authentication systems for backend applications.
Developed robust AI-Ops solutions for Jira Service Management.

Stackforce AI infers this person is a SaaS-focused Full Stack Engineer with strong backend capabilities.

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Skills

Core Skills

JavaKubernetesTypescript

Other Skills

Apache SparkKotlinCassandraRedux.jsjQueryApache AirflowHadoopApache KafkaAmazon DynamodbEvent driven systemsReactJSAmazon Web Services (AWS)Go (Programming Language)Continuous Integration and Continuous Delivery (CI/CD)Docker

About

I am currently working as a Full Stack Engineer at Atlassian’s Jira Service Management cloud. I was previously working as a Backend Engineer at Microsoft Azure Control Plane, before that I worked for ServiceNow platform. I have built services and infrastructure from ground up which scaled to big numbers. Some of my key achievements include building data ingestion pipelines which scaled ten times as compared to their legacy versions, creating and designing infrastructure for multiple microservices from ground up and designing secure authentication and authorization systems for backend. Top skills and frameworks - Kotlin, Golang, Java, Spring Boot, Kubernetes, gRPC, Protocol buffers, Kubernetes, C#, Redis, Microsoft Azure, Amazon Web Services

Experience

5 yrs 9 mos

Total Experience

1 yr 10 mos

Average Tenure

2 mos

Current Experience

Senior Software Engineer

Mar 2026 – Present · 2 mos · Bengaluru

LinkedIn Experimentation Platform.
Building and enhancing reporting pipelines for experimentation platform.

JavaApache Spark

Atlassian

Fullstack Engineer 2

Jan 2025 – Feb 2026 · 1 yr 1 mo · India

I am working as Full Stack Software Engineer. I am currently building the AI-Ops capability in Jira Service Management. Some of the interesting problems statements which I worked upon:
Built a state machine based large-scale data migrations service which can perform migration of data between two incompatible data stores with 100% reliability.
Devised a framework for load-testing SageMaker multi-model endpoints for instance recommendation to perform multi-tenant ML inference at scale.
Built a robust in-house CDC (Change Data Capture) event ingestion system which is scalable and fault-tolerant, and which can withstand unpredictable spikes in event traffic.
Built a scalable ML inferencing pipeline for AI-Ops intelligent alert grouping feature.
Designed and developed a system for integration of AI-Ops workflows with Slack.

JavaKotlin

Microsoft

2 roles

Software Engineer 2 (L62)

Promoted

Sep 2022 – Jan 2025 · 2 yrs 4 mos

I worked as a Backend engineer (L62) at Microsoft Azure. I built scalable control plane infrastructure for provisioning Azure Resources for Microsoft Azure service teams.

CassandraKubernetes