saral jain

Software Engineer

Ratlam, Madhya Pradesh, India5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced integration time by 60% with AI service.
Improved incident triage by 35% with alert router.
Engineered infrastructure migration, reducing manual effort by 80%.

Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in AI and Infrastructure Automation.

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Skills

Core Skills

Backend DevelopmentInfrastructure AutomationAi DevelopmentIncident ManagementCi/cd ManagementSoftware DevelopmentAutomationWeb Server Management

Other Skills

Go (Programming Language)Python (Programming Language)KubernetesTerraformJenkinsSpinnakerPythonHTMLCSSJavaScriptAnsibleNginxLinuxC#MySQL

About

Experienced SDE2 at ShareChat, specializing in developing scalable, AI-powered applications and infrastructure automation. Built a unified Agentic AI service that reduced integration time by 60% and an Intelligent Alert Router that improved incident triage by 35%. Strong expertise in Golang, Java, Python, and Terraform with a focus on building high-performance, reliable systems. Passionate about crafting efficient solutions that drive development speed and operational excellence.

Experience

5 yrs 6 mos

Total Experience

1 yr 11 mos

Average Tenure

1 yr 8 mos

Current Experience

Sharechat

4 roles

Software Development Engineer 2

Sep 2025 – Present · 8 mos

Go (Programming Language)Python (Programming Language)Backend DevelopmentInfrastructure Automation

Software Engineer

Promoted

Jul 2025 – Present · 10 mos

● Created a scalable Agentic AI service enabling dynamic MCP selection and integration, serving as the unified AI backbone for enterprise wide applications, reduced model integration time by ~60% and supported scaling to 20+ AI use cases across teams.
● Designed and implemented an AI-driven Intelligent Alert Router that automatically clusters alerts, generates contextual summaries, and performs autonomous RCA through agentic workflows, decreased alert noise by ~40%, accelerated incident triage by ~35%, and improved on-call efficiency across the org.

Go (Programming Language)Python (Programming Language)AI DevelopmentIncident Management

Software Developer

Oct 2024 – Aug 2025 · 10 mos

Software Engineer

Sep 2024 – Jun 2025 · 9 mos

● Built a Kubernetes version testing framework to validate infrastructure stability, reducing downtime by 90% through automated checks.
● Engineered a complete infrastructure migration framework with Terraform, enhancing stability, automating deployment, and reducing manual effort by 80%.
● Designed a seamless Kubernetes upgrade automation tool, minimizing human intervention and reducing 2 months of developer time.
● Rebuilt the CI/CD infrastructure by upgrading Jenkins and Spinnaker from an outdated version, migrating data, and improving deployment speed by 40%.

Phonepe

3 roles

Site Reliability Engineer

Promoted

Jul 2023 – Oct 2024 · 1 yr 3 mos

Software Engineer

Feb 2023 – Sep 2024 · 1 yr 7 mos

● Developed an internal ticketing tool with Python, HTML, CSS, and JavaScript for the SRE team, reducing ticket turnaround time (TAT) from 3 days to near instant.
● Automated the execution of manual scripts across 50+ hosts for the SRE team using Ansible, reducing the need for manual command execution by 80%.
● Configured and optimized nginx web server for high-traffic websites with 500 million+ users, resulting in a 30% improvement in page load times.

Site Reliability Engineer Intern

Feb 2023 – Jul 2023 · 5 mos

Working as an SRE Developer Intern at Phonepe.

Linux

Stimuler

Software Engineer Intern

Jan 2023 – Mar 2023 · 2 mos

Volume

Flutter Developer Intern

Nov 2021 – Jul 2023 · 1 yr 8 mos · India

Contributing to Volume as Flutter Developer Intern

Anasol software

Android Development Intern

Jun 2021 – Aug 2021 · 2 mos · Maharashtra, India

Volume stories

Software Engineer Parttime

Nov 2020 – Feb 2023 · 2 yrs 3 mos

● Improved data accuracy and user experience by integrating 30+ REST APIs to share data between frontend and backend.
● Built a custom Collections feature from scratch that allowed users to create their collections of posts of similar interest, leading to a 20% increase in user retention.
● Created a staff and creator's dashboard that displayed detailed analytics of posts and stacks using graphs and tables, similar to Youtube's creator studio. This led to a 22% boost in content engagement.