Work Preference
Summary
Overview
Work History
Education
Skills
Ai Initiatives
Personal Information
Awards
Timeline
Generic
Open To Work

Swati Bovi

Mumbai,Maharashtra

Work Preference

Job Search Status

Open to work
Desired start date: Open to discussion

Desired Job Title

Software Engineer II – Cloud Platform / Reliability EngineeringSoftware Engineer – Cloud & Infrastructure

Work Type

Full Time

Location Preference

On-SiteRemote
Location: Mumbai, Maharashtra, US
Open to relocation: No

Salary Range

45000/yr - 200000/yr

Summary

Software Engineer II - Cloud Platform with 6+ years of experience in building and managing secure, scalable Azure infrastructures for mission-critical production systems. Expertise in designing Kubernetes-based (AKS) platforms and multi-region cloud environments that support high-traffic. Expertise in utilizing AI and automation tools to improve reliability and reduce operational toil, including incident detection and investigation, while crafting observability platforms that significantly reduce mean time to recovery (MTTR).

Overview

6
6
years of professional experience

Work History

Software Engineer II – Cloud Platform / Reliability Engineering

Microsoft
01.2021 - Current
  • Designed and operated secure Azure cloud platforms supporting a large‑scale, centralized billing and tax system with strict 9999 availability, security, and compliance requirements.
  • Built and owned AKS‑based production platforms, including cluster configuration, node pool isolation, autoscaling strategies, and secure networking integrations.
  • Designed an AI-assisted incident investigation and mitigation system using Azure SRE agent; integrated with the incident management platform, auto-generating diagnostic context (service health, logs/telemetry, and correlated signals) and posting findings directly into the incident workflow—shifting response from manual debugging to evidence‑driven mitigation and materially reducing troubleshooting time.
  • Built the platform’s logging + monitoring + alerting capability as a first‑class reliability layer (Grafana dashboards + actionable alerts), enabling latency/traffic visibility, faster RCA, and real‑time decisioning during peak events (including holiday season and large load shifts).
  • Designed and implemented autoscaling for AKS workloads, enabling the service to dynamically scale based on traffic and load patterns, improving performance during peak demand while optimizing infrastructure cost.
  • Initiated collaboration with tenant teams and Vertex vendor teams to introduce correlation IDs across application logs, improving end‑to‑end traceability in highly critical systems.
  • Led routine service upgrades of the Vertex codebase following high SDP standards, including Git‑based deployments, performance and load testing using JMeter, and security scanning to identify code vulnerabilities.
  • Supported deployments in Azure Government (High‑Side) cloud environments by working closely with air‑gapped cloud engineers to ensure uptime, reliability, and compliance
  • Designed the Zero‑touch deployment (Fully automated Infra provisioning) approach specifically with air‑gapped cloud constraints in mind, enabling consistent and reliable deployments in restricted environments.
  • Acted as production owner for critical services, participating in on‑call rotations and driving post‑incident improvements.
  • Partnered with application, networking, security, and vendor teams to resolve complex platform issues.

Software Engineer – Cloud & Infrastructure

Publicis Sapient
  • Developed CI/CD with Safe Deployment Practices standards for 3 major enterprise deliveries for clients in the commercial and banking sectors.
  • Developed and owned cloud and infrastructure initiatives focused on stability, security, and scalability.
  • Initiated and led Azure cost optimization project for client reducing the cost by 30%.
  • Developed and executed scenario‑based testing, including behavior‑driven development using Cucumber, to validate business workflows.
  • Identified and automated routine manual tasks using automation runbooks, bash, powershell, Azure CLI etc.
  • Awarded for a strong Learning mindset and rapid growth in cloud and infrastructure engineering.

Education

Bachelor of Engineering - Software Engineering

Thadomal Shahani Engg. College
Mumbai University
06-2019

Skills

  • Microsoft Azure, Azure IaaS, Azure PaaS
  • Azure resources - Managed Identity, Virtual Networks, App services, Frontdoor, WAF, Azure SQL
  • Azure Kubernetes Service (AKS)
  • Autoscaling
  • Infrastructure as Code - ARM templates, Terraform
  • CI/CD Pipelines
  • Azure DevOps, Gitlab, Jenkins
  • Java, C#
  • Git
  • Jenkins
  • Kibana
  • Elastic search
  • PowerShell
  • Zero‑Touch Deployments
  • Centralized Logging
  • Grafana
  • Incident Automation
  • Azure monitor, Log analytics
  • Data Sync Pipelines
  • High‑Availability Configurations
  • MySQL

Ai Initiatives

  • Leveraged AI‑assisted engineering tools to accelerate code development, troubleshooting, and documentation.
  • Applied AI‑based analysis/mitigation (Azure SRE agent) to operational signals and telemetry to assist with incident investigation and root‑cause analysis.
  • Developed Agentic AI for business for Tax enquiry assist, regression runs and comparisons, content application and other routine tasks

Personal Information

Title: Senior Cloud / Platform Engineer

Awards

  • Innovation Award – Microsoft (Centralized telemetry and observability system)
  • Recognition – Zero‑Touch Deployment (Microsoft)
  • Learning Mindset Award – Publicis Sapient
  • Capability Award – Cloud Engineering – Publicis Sapient
  • Smart India Hackathon 2019 – National Level Winner

Timeline

Software Engineer II – Cloud Platform / Reliability Engineering

Microsoft
01.2021 - Current

Software Engineer – Cloud & Infrastructure

Publicis Sapient

Bachelor of Engineering - Software Engineering

Thadomal Shahani Engg. College

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